chore(i18n): sync translations with latest source changes (chunk 1/1, 6 changes)

2026-04-06 16:33:49 +00:00 · 2026-04-06 16:33:49 +00:00 · 66a23378ed
parent 045d4ca25b
commit 66a23378ed
6 changed files with 268 additions and 268 deletions
--- a/translations/hr/.co-op-translator.json
+++ b/translations/hr/.co-op-translator.json
@ -6,8 +6,8 @@
    "language_code": "hr"
  },
  "README.md": {
-    "original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
-    "translation_date": "2026-02-28T10:04:56+00:00",
+    "original_hash": "12c8eb6bf0867d2f1c32daf613ac5b8b",
+    "translation_date": "2026-04-06T16:29:10+00:00",
    "source_file": "README.md",
    "language_code": "hr"
  },
--- a/translations/hr/README.md
+++ b/translations/hr/README.md
@ -12,25 +12,25 @@

 [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)

-# Umjetna inteligencija za početnike - Nastavni plan i program
+# Umjetna inteligencija za početnike - Nastavni plan

-|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)|
+|![Sketchnote @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)|
 |:---:|
-| AI za početnike - _Sketchnote od [@girlie_mac](https://twitter.com/girlie_mac)_ |
+| AI za početnike - _Sketchnote autorice [@girlie_mac](https://twitter.com/girlie_mac)_ |

-Istražite svijet **Umjetne inteligencije** (AI) s našim 12-tjednim, 24-lekcijskim programom! Uključuje praktične lekcije, kvizove i laboratorijske vježbe. Nastavni plan i program prilagođen je početnicima i pokriva alate poput TensorFlow i PyTorch, kao i etiku u AI
+Istražite svijet **umjetne inteligencije** (AI) kroz naš 12-tjedni, 24-lekcijski nastavni plan! Obuhvaća praktične lekcije, kvizove i laboratorijske vježbe. Nastavni plan je prilagođen početnicima i pokriva alate poput TensorFlow i PyTorch, kao i etiku u AI


 ### 🌐 Podrška za više jezika

-#### Podržano putem GitHub akcije (Automatski i uvijek ažurirano)
+#### Podržano putem GitHub akcije (automatizirano i uvijek ažurno)

 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](./README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](./README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Khmer](../km/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)

-> **Preferirate li lokalnu kloniranje?**
+> **Radije želite klonirati lokalno?**
 >
-> Ovaj repozitorij uključuje 50+ prijevoda jezika što značajno povećava veličinu preuzimanja. Za kloniranje bez prijevoda koristite sparse checkout:
+> Ovaj repozitorij uključuje više od 50 prijevoda jezika, što značajno povećava veličinu preuzimanja. Za kloniranje bez prijevoda koristite sparse checkout:
 >
 > **Bash / macOS / Linux:**
 > ```bash
@ -46,10 +46,10 @@ Istražite svijet **Umjetne inteligencije** (AI) s našim 12-tjednim, 24-lekcijs
 > git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
 > ```
 >
-> Ovo vam daje sve što je potrebno da završite tečaj uz znatno brže preuzimanje.
+> Ovo vam daje sve što vam treba za dovršetak tečaja s puno bržim preuzimanjem.
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->

-**Ako želite da dodatni prijevodi jezika budu podržani, popis podržanih jezika nalazi se [ovdje](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
+**Ako želite dodatnu podršku za jezike prijevoda, podržani jezici su navedeni [ovdje](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**

 ## Pridružite se zajednici
 [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
@ -58,69 +58,69 @@ Istražite svijet **Umjetne inteligencije** (AI) s našim 12-tjednim, 24-lekcijs

 **[Mindmap tečaja](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**

-U ovom nastavnom planu i programu naučit ćete:
+U ovom nastavnom planu naučit ćete:

-* Različite pristupe umjetnoj inteligenciji, uključujući "dobar stari" simbolički pristup s **reprenzentacijom znanja** i zaključivanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
-* **Neuronske mreže** i **duboko učenje**, koje su u središtu moderne AI. Pojmove iza ovih važnih tema ilustrirat ćemo pomoću koda u dva najpopularnija okvira - [TensorFlow](http://Tensorflow.org) i [PyTorch](http://pytorch.org).
-* **Neuronske arhitekture** za rad sa slikama i tekstom. Pokrit ćemo najnovije modele, ali možda ne u potpunosti najnovija dostignuća.
-* Manje popularne AI pristupe, kao što su **genetski algoritmi** i **sistemi s više agenata**.
+* Različite pristupe umjetnoj inteligenciji, uključujući "dobri stari" simbolički pristup s **predstavljanjem znanja** i rezoniranjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
+* **Neuralne mreže** i **duboko učenje**, koje su u središtu moderne AI. Koncepte iza ovih važnih tema ilustrirat ćemo pomoću koda u dva najpopularnija okvira - [TensorFlow](http://Tensorflow.org) i [PyTorch](http://pytorch.org).
+* **Neuralne arhitekture** za rad sa slikama i tekstom. Pokrit ćemo nove modele, iako možda ne sasvim najnovije iz stanja tehnike.
+* Manje popularne AI pristupe kao što su **genetski algoritmi** i **sustavi s više agenata**.

-Što nećemo pokriti u ovom nastavnom planu i programu:
+Što nećemo pokrivati u ovom nastavnom planu:

-> [Pronađite sve dodatne resurse za ovaj tečaj u našoj Microsoft Learn kolekciji](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
+> [Pronađite sve dodatne izvore za ovaj tečaj u našoj kolekciji Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)

-* Poslovne primjere korištenja **AI u poslovanju**. Razmislite o uzimanju [Uvod u AI za poslovne korisnike](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn, ili [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvijen u suradnji s [INSEAD](https://www.insead.edu/).
-* **Klasično strojno učenje**, koje je dobro opisano u našem [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
-* Praktične AI aplikacije izrađene korištenjem **[Kognitivnih servisa](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za to preporučujemo da započnete s modulima na Microsoft Learn za [vid](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [prirodni jezik](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativni AI s Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** i ostale.
-* Specifične računalne okvire za ML u oblaku, poput [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) ili [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Razmislite o korištenju putanja učenja [Izgradite i upravljajte rješenjima strojnog učenja s Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) i [Izgradite i upravljajte rješenjima strojnog učenja s Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
-* **Konverzacijski AI** i **chat botovi**. Postoji zasebna putanja učenja [Izradite konverzacijska AI rješenja](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), a možete se obratiti i [ovom blog postu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) za više detalja.
-* **duboka matematika** iza dubokog učenja. Za to preporučujemo [Duboko učenje](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autora Ian Goodfellow, Yoshua Bengio i Aaron Courville, koja je također dostupna online na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
+* Poslovne primjene **AI u poslovanju**. Razmislite o pohađanju [Uvod u AI za poslovne korisnike](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) učne staze na Microsoft Learn, ili [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvijene u suradnji s [INSEAD](https://www.insead.edu/).
+* **Klasično strojno učenje**, koje je dobro opisano u našem [nastavnom planu Strojno učenje za početnike](http://github.com/Microsoft/ML-for-Beginners).
+* Praktične AI primjene izgrađene korištenjem **[Kognitivnih usluga](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za to preporučujemo da započnete s modulima Microsoft Learn za [vid](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [obradu prirodnog jezika](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[generativnu AI s Azure OpenAI uslugom](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** i druge.
+* Specifične ML **Cloud okvire**, poput [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), ili [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Razmotrite korištenje učnih staza [Izgradnja i upravljanje rješenjima strojnog učenja s Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) i [Izgradnja i upravljanje rješenjima strojnog učenja s Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
+* **Razgovorna AI** i **chat botovi**. Postoji zasebna [učna staza za kreiranje razgovornih AI rješenja](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), a možete se također referirati na [ovaj blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) za detaljnije informacije.
+* **Duboku matematiku** iza dubokog učenja. Za to preporučujemo [Duboko učenje](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autorstva Iana Goodfellowa, Yoshua Bengioa i Aarona Courvillea, koja je dostupna i online na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).

-Za nježni uvod u teme _AI u oblaku_ možete razmotriti pohađanje [Početak rada s umjetnom inteligencijom na Azureu](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) putanje učenja.
+Za nježan uvod u teme _AI u oblaku_, možete razmotriti pohađanje [Početak s umjetnom inteligencijom na Azureu](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) učne staze.

 # Sadržaj

-|     |                                                                 Poveznica na lekciju                                                                 |                                           PyTorch/Keras/TensorFlow                                          | Laboratorij                                                            |
+|     |                                                                 Poveznica na lekciju                                                                  |                                           PyTorch/Keras/TensorFlow                                          | Laboratorijska vježba                                                            |
 | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
 | 0  |                                 [Postavljanje tečaja](./lessons/0-course-setup/setup.md)                                 |                      [Postavite svoje razvojno okruženje](./lessons/0-course-setup/how-to-run.md)                       |   |
 | I  |               [**Uvod u AI**](./lessons/1-Intro/README.md)      | | |
 | 01  |       [Uvod i povijest AI](./lessons/1-Intro/README.md)       |           -                            | -  |
 | II |              **Simbolička AI**              |
-| 02  |       [Predstavljanje Znanja i Stručni Sustavi](./lessons/2-Symbolic/README.md)       |            [Stručni Sustavi](./lessons/2-Symbolic/Animals.ipynb) /  [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf Pojmova](./lessons/2-Symbolic/MSConceptGraph.ipynb)                             |  |
-| III |                        [**Uvod u Neuronske Mreže**](./lessons/3-NeuralNetworks/README.md) |||
+| 02  |       [Predstavljanje znanja i ekspertni sustavi](./lessons/2-Symbolic/README.md)       |            [Ekspertni sustavi](./lessons/2-Symbolic/Animals.ipynb) /  [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf koncepata](./lessons/2-Symbolic/MSConceptGraph.ipynb)                             |  |
+| III |                        [**Uvod u neuronske mreže**](./lessons/3-NeuralNetworks/README.md) |||
 | 03  |                [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md)                 |                       [Bilježnica](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb)                      | [Laboratorij](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
-| 04  |                   [Višeslojni Perceptron i Kreiranje Vlastitog Okvira](./lessons/3-NeuralNetworks/04-OwnFramework/README.md)                   |        [Bilježnica](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb)        | [Laboratorij](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
-| 05  |            [Uvod u Okvire (PyTorch/TensorFlow) i Prenaučenost](./lessons/3-NeuralNetworks/05-Frameworks/README.md)             |           [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb)             | [Laboratorij](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
-| IV  |            [**Računalni Vid**](./lessons/4-ComputerVision/README.md)             | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Istraži Računalni Vid na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
-| 06  |            [Uvod u Računalni Vid. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md)             |           [Bilježnica](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb)         | [Laboratorij](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
-| 07  |            [Konvolucijske Neuronske Mreže](./lessons/4-ComputerVision/07-ConvNets/README.md) &  [CNN Arhitekture](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md)             |           [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb)             | [Laboratorij](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
-| 08  |            [Pretrenirane Mreže i Transferno Učenje](./lessons/4-ComputerVision/08-TransferLearning/README.md) i [Trikovi za Trening](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md)             |           [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb)             | [Laboratorij](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
+| 04  |                   [Višeslojni perceptron i izrada vlastitog frameworka](./lessons/3-NeuralNetworks/04-OwnFramework/README.md)                   |        [Bilježnica](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb)        | [Laboratorij](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
+| 05  |            [Uvod u frameworke (PyTorch/TensorFlow) i prenaučavanje](./lessons/3-NeuralNetworks/05-Frameworks/README.md)             |           [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb)             | [Laboratorij](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
+| IV  |            [**Računalni vid**](./lessons/4-ComputerVision/README.md)             | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Istražite računalni vid na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
+| 06  |            [Uvod u računalni vid. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md)             |           [Bilježnica](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb)         | [Laboratorij](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
+| 07  |            [Konvolucijske neuronske mreže](./lessons/4-ComputerVision/07-ConvNets/README.md) &  [Arhitekture CNN-a](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md)             |           [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb)             | [Laboratorij](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
+| 08  |            [Prethodno istrenirane mreže i transferno učenje](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Trikovi za treniranje](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md)             |           [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb)             | [Laboratorij](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
 | 09  |            [Autoenkoderi i VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md)             |           [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb)             |  |
-| 10  |            [Generativne Suprotstavljene Mreže i Prijenos Umjetničkog Stila](./lessons/4-ComputerVision/10-GANs/README.md)             |           [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb)             |  |
-| 11  |            [Detekcija Objekata](./lessons/4-ComputerVision/11-ObjectDetection/README.md)             |         [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb)             | [Laboratorij](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
-| 12  |            [Semantička Segmentacija. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md)             |           [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb)             |  |
-| V  |            [**Obrada Prirodnog Jezika**](./lessons/5-NLP/README.md)             | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Istraži Obradu Prirodnog Jezika na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
-| 13  |            [Predstavljanje Teksta. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb)             | |
-| 14  |            [Semantičke Word Embeddings. Word2Vec i GloVe](./lessons/5-NLP/14-Embeddings/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb)             |  |
-| 15  |            [Modeliranje Jezika. Treniranje Vlastitih Embeddinga](./lessons/5-NLP/15-LanguageModeling/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb)             | [Laboratorij](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
-| 16  |            [Rekurentne Neuronske Mreže](./lessons/5-NLP/16-RNN/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb)             |  |
-| 17  |            [Generativne Rekurentne Mreže](./lessons/5-NLP/17-GenerativeNetworks/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb)             | [Laboratorij](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
+| 10  |            [Generativne adversarijalne mreže i prijenos umjetničkog stila](./lessons/4-ComputerVision/10-GANs/README.md)             |           [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb)             |  |
+| 11  |            [Detekcija objekata](./lessons/4-ComputerVision/11-ObjectDetection/README.md)             |         [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb)             | [Laboratorij](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
+| 12  |            [Semantička segmentacija. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md)             |           [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb)             |  |
+| V  |            [**Obrada prirodnog jezika**](./lessons/5-NLP/README.md)             | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Istražite obradu prirodnog jezika na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
+| 13  |            [Predstavljanje teksta. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb)             | |
+| 14  |            [Semantički vektori riječi. Word2Vec i GloVe](./lessons/5-NLP/14-Embeddings/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb)             |  |
+| 15  |            [Modeliranje jezika. Treniranje vlastitih vektora](./lessons/5-NLP/15-LanguageModeling/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb)             | [Laboratorij](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
+| 16  |            [Rekurentne neuronske mreže](./lessons/5-NLP/16-RNN/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb)             |  |
+| 17  |            [Generativne rekurentne mreže](./lessons/5-NLP/17-GenerativeNetworks/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb)             | [Laboratorij](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
 | 18  |            [Transformeri. BERT.](./lessons/5-NLP/18-Transformers/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb)             |  |
-| 19  |            [Prepoznavanje Imenovanih Entiteta](./lessons/5-NLP/19-NER/README.md)             |           [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb)             | [Laboratorij](./lessons/5-NLP/19-NER/lab/README.md) |
-| 20  |            [Veliki Jezični Modeli, Programiranje Promptova i Few-Shot Zadaci](./lessons/5-NLP/20-LangModels/README.md)             |           [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
-| VI |            **Ostale AI Tehnike** || |
-| 21  |            [Genetski Algoritmi](./lessons/6-Other/21-GeneticAlgorithms/README.md)             |           [Bilježnica](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
-| 22  |            [Duboko Učenje Pomoću Poticaja](./lessons/6-Other/22-DeepRL/README.md)             |           [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb)             | [Laboratorij](./lessons/6-Other/22-DeepRL/lab/README.md) |
-| 23  |            [Sustavi Višestrukih Agenata](./lessons/6-Other/23-MultiagentSystems/README.md)             |  | |
-| VII |            **AI Etika** | | |
-| 24  |            [AI Etika i Odgovorni AI](./lessons/7-Ethics/README.md)             |           [Microsoft Learn: Principi Odgovornog AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
-| IX  |            **Dodatno** | | |
-| 25  |            [Višestruke Modalnosti, CLIP i VQGAN](./lessons/X-Extras/X1-MultiModal/README.md)             |           [Bilježnica](./lessons/X-Extras/X1-MultiModal/Clip.ipynb)    | |
+| 19  |            [Prepoznavanje imenovanih entiteta](./lessons/5-NLP/19-NER/README.md)             |           [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb)             | [Laboratorij](./lessons/5-NLP/19-NER/lab/README.md) |
+| 20  |            [Veliki jezični modeli, prompt programiranje i few-shot zadaci](./lessons/5-NLP/20-LangModels/README.md)             |           [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
+| VI |            **Druge AI tehnike** || |
+| 21  |            [Genetski algoritmi](./lessons/6-Other/21-GeneticAlgorithms/README.md)             |           [Bilježnica](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
+| 22  |            [Duboko potkrepljujuće učenje](./lessons/6-Other/22-DeepRL/README.md)             |           [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb)             | [Laboratorij](./lessons/6-Other/22-DeepRL/lab/README.md) |
+| 23  |            [Sustavi s više agenata](./lessons/6-Other/23-MultiagentSystems/README.md)             |  | |
+| VII |            **AI etika** | | |
+| 24  |            [Etika AI i odgovorni AI](./lessons/7-Ethics/README.md)             |           [Microsoft Learn: Principi odgovornog AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
+| IX  |            **Ostalo** | | |
+| 25  |            [Multimodalne mreže, CLIP i VQGAN](./lessons/X-Extras/X1-MultiModal/README.md)             |           [Bilježnica](./lessons/X-Extras/X1-MultiModal/Clip.ipynb)    | |

 ## Svaka lekcija sadrži
 * Materijal za predčitanje
-* Izvršni Jupyter bilježnice, koje su često specifične za okvir (**PyTorch** ili **TensorFlow**). Izvršna bilježnica također sadrži puno teorijskog materijala, tako da je za razumijevanje teme potrebno proći barem jednu verziju bilježnice (bilo PyTorch ili TensorFlow).
-* **Laboratorijske vježbe** dostupne za neke teme, koje vam daju priliku da isprobate primjenu naučenog materijala na određenom problemu.
+* Izvršni Jupyter bilježnice, koje su često specifične za okvir (**PyTorch** ili **TensorFlow**). Izvršni bilježnica također sadrži mnogo teorijskog materijala, tako da za razumijevanje teme trebate proći kroz barem jednu verziju bilježnice (bilo PyTorch ili TensorFlow).
+* **Laboratoriji** dostupni za neke teme, koji vam daju priliku da pokušate primijeniti naučeni materijal na određeni problem.
 * Neki odjeljci sadrže poveznice na module [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) koji pokrivaju povezane teme.

 ## Početak
@ -129,52 +129,52 @@ Za nježni uvod u teme _AI u oblaku_ možete razmotriti pohađanje [Početak rad

 Ako ste potpuno novi u AI i želite brze, praktične primjere, pogledajte naše [**Primjere prilagođene početnicima**](./examples/README.md)! Oni uključuju:

- 🌟 **Hello AI World** - Vaš prvi AI program (prepoznavanje obrazaca)
- 🧠 **Jednostavna neuronska mreža** - Izgradite neuronsku mrežu od početka  
+- 🌟 **Hello AI World** - Vaš prvi AI program (prepoznavanje uzoraka)
+- 🧠 **Jednostavna neuronska mreža** - Izgradite neuronsku mrežu od nule  
 - 🖼️ **Klasifikator slika** - Klasificirajte slike s detaljnim komentarima
 - 💬 **Sentiment teksta** - Analizirajte pozitivan/negativan tekst

-Ovi primjeri su osmišljeni kako bi vam pomogli razumjeti AI koncepte prije nego što zaronite u puni kurikulum.
+Ovi primjeri su dizajnirani da vam pomognu razumjeti AI koncepte prije nego što se upustite u puni kurikulum.

-### 📚 Postavljanje cijelog kurikuluma
+### 📚 Postavljanje kompletnog kurikuluma

- Izradili smo [lekciju za postavljanje](./lessons/0-course-setup/setup.md) kako bismo vam pomogli oko postavljanja razvojne okoline.  
- Za predavače smo također izradili [lekciju za postavljanje kurikuluma](./lessons/0-course-setup/for-teachers.md)!
- Kako [pokrenuti kod u VSCode ili Codespace](./lessons/0-course-setup/how-to-run.md)
+- Kreirali smo [lekciju za postavljanje](./lessons/0-course-setup/setup.md) da vam pomognemo s postavljanjem razvojnog okruženja.
+- Za predavače, također smo kreirali [lekciju za postavljanje kurikuluma](./lessons/0-course-setup/for-teachers.md)!
+- Kako [pokrenuti kod u VSCode ili Codespace-u](./lessons/0-course-setup/how-to-run.md)

 Slijedite ove korake:

-Forkajte spremište: Kliknite na gumb "Fork" u gornjem desnom kutu ove stranice.
+Forkajte repozitorij: Kliknite na gumb "Fork" u gornjem desnom kutu ove stranice.

-Klonirajte spremište: `git clone https://github.com/microsoft/AI-For-Beginners.git`
+Klonirajte repozitorij: `git clone https://github.com/microsoft/AI-For-Beginners.git`

-Ne zaboravite označiti (🌟) ovaj repo da biste ga lakše pronašli kasnije.
+Ne zaboravite dodati zvjezdicu (🌟) ovom repozitoriju da biste ga kasnije lakše pronašli.

 ## Upoznajte druge učenike

-Pridružite se našem [službenom AI Discord serveru](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) kako biste upoznali i povezali se s drugim polaznicima ovog tečaja i dobili podršku.
+Pridružite se našem [službenom AI Discord serveru](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) da upoznate i umrežite se s drugim učenicima koji pohađaju ovaj tečaj i dobijete podršku.

-Ako imate povratne informacije o proizvodu ili pitanja tijekom izrade, posjetite naš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
+Ako imate povratne informacije ili pitanja tijekom izrade, posjetite naš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)

 ## Kvizevi

-> **Napomena o kvizovima**: Svi kvizovi su smješteni u folderu Quiz-app u etc\quiz-app, ili [Online ovdje](https://ff-quizzes.netlify.app/). Poveznice su unutar lekcija, quiz app se može pokretati lokalno ili na Azure-u; slijedite upute u mapi `quiz-app`. Postupno se prevode.
+> **Napomena o kvizovima**: Svi kvizovi se nalaze u mapi Quiz-app u etc\quiz-app, ili [online ovdje](https://ff-quizzes.netlify.app/). Povezani su iz lekcija, kviz aplikaciju je moguće pokretati lokalno ili je rasporediti na Azure; slijedite upute u `quiz-app` mapi. Postupno se lokaliziraju.

-## Tražimo pomoć
+## Potrebna pomoć

-Imate prijedloge ili ste pronašli pravopisne ili programske pogreške? Podignite pitanje ili napravite pull zahtjev.
+Imate li prijedloge ili ste pronašli pravopisne ili kodne pogreške? Otvorite issue ili kreirajte pull request.

 ## Posebne zahvale

-* **✍️ Glavni autor:** [Dmitry Soshnikov](http://soshnikov.com), dr. sc.
-* **🔥 Urednik:** [Jen Looper](https://twitter.com/jenlooper), dr. sc.
+* **✍️ Glavni autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
+* **🔥 Urednik:** [Jen Looper](https://twitter.com/jenlooper), PhD
 * **🎨 Ilustrator skica:** [Tomomi Imura](https://twitter.com/girlie_mac)
 * **✅ Kreator kvizova:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
 * **🙏 Glavni suradnici:** [Evgenii Pishchik](https://github.com/Pe4enIks)

 ## Ostali kurikulumi

-Naš tim proizvodi i druge kurikulume! Pogledajte:
+Naš tim stvara i druge kurikulume! Pogledajte:

 <!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### LangChain
@ -190,15 +190,15 @@ Naš tim proizvodi i druge kurikulume! Pogledajte:
 [![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)

 ---
- 
-### Serija Generativne AI
+
+### Serija generativnog AI
 [![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
 [![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)

 ---
- 
+
 ### Osnovno učenje
 [![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
 [![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
@ -209,7 +209,7 @@ Naš tim proizvodi i druge kurikulume! Pogledajte:
 [![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)

 ---
- 
+
 ### Serija Copilot
 [![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
 [![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
@ -218,17 +218,17 @@ Naš tim proizvodi i druge kurikulume! Pogledajte:

 ## Dobivanje pomoći

-Ako zapnete ili imate pitanja o izradi AI aplikacija, pridružite se drugim učenicima i iskusnim programerima u raspravama o MCP-u. To je podržavajuća zajednica u kojoj su pitanja dobrodošla, a znanje slobodno dijeljeno.
+Ako zapnete ili imate bilo kakvih pitanja o izradi AI aplikacija, pridružite se ostalim učenicima i iskusnim programerima u raspravama o MCP. To je zajednica koja podržava, gdje su pitanja dobrodošla, a znanje se slobodno dijeli.

 [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)

-Ako imate povratne informacije o proizvodu ili pogreške tijekom izrade, posjetite:
+Ako imate povratne informacije o proizvodu ili greške tijekom izrade, posjetite:

 [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)

 ---

 <!-- CO-OP TRANSLATOR DISCLAIMER START -->
-**Odricanje od odgovornosti**:  
-Ovaj dokument preveden je korištenjem AI usluge prevođenja [Co-op Translator](https://github.com/Azure/co-op-translator). Iako se trudimo osigurati točnost, imajte na umu da automatizirani prijevodi mogu sadržavati pogreške ili netočnosti. Izvorni dokument na izvornom jeziku smatra se autoritativnim izvorom. Za važne informacije preporučuje se profesionalni ljudski prijevod. Ne snosimo odgovornost za bilo kakva nesporazumevanja ili pogrešna tumačenja koja proizlaze iz korištenja ovog prijevoda.
+**Odricanje od odgovornosti**:
+Ovaj dokument preveden je korištenjem AI usluge prijevoda [Co-op Translator](https://github.com/Azure/co-op-translator). Iako težimo točnosti, imajte na umu da automatski prijevodi mogu sadržavati pogreške ili netočnosti. Izvorni dokument na izvornom jeziku treba se smatrati autoritativnim izvorom. Za kritične informacije preporučuje se profesionalni ljudski prijevod. Ne snosimo odgovornost za bilo kakve nesporazume ili kriva tumačenja proizašla iz korištenja ovog prijevoda.
 <!-- CO-OP TRANSLATOR DISCLAIMER END -->
--- a/translations/my/.co-op-translator.json
+++ b/translations/my/.co-op-translator.json
@ -6,8 +6,8 @@
    "language_code": "my"
  },
  "README.md": {
-    "original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
-    "translation_date": "2026-02-28T10:08:26+00:00",
+    "original_hash": "12c8eb6bf0867d2f1c32daf613ac5b8b",
+    "translation_date": "2026-04-06T16:33:41+00:00",
    "source_file": "README.md",
    "language_code": "my"
  },
--- a/translations/my/README.md
+++ b/translations/my/README.md
@ -12,24 +12,24 @@

 [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)

-# ကလိပ်တစ်လုံးအတွက် အတုယူမှုသင်တန်း - သင်ခန်းစာအစီအစဉ်
+# စတင်လေ့လာသူများအတွက် အတုယူနိုင်သော ဉာဏ်ရည် - သင်ရိုးအစီအစဉ်

 |![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)|
 |:---:|
-| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
+| အတုယူနိုင်သော ဉာဏ်ရည် - _[@girlie_mac](https://twitter.com/girlie_mac) မှ သရုပ်ပြမှတ်စု_ |

-**အတုယူမှုသင်တန်း** (AI) ၏ကမ္ဘာကို 12 ပတ်၊ 24 သင်ခန်းစာဖြင့် သွားလေ့လာကြပါစို့! ၎င်းတွင် လက်တွေ့သင်ခန်းစာများ၊ စစ်ဆေးမှု မေးခွန်းများနှင့် လက်တွေ့ လေ့ကျင့်ခန်းများပါဝင်သည်။ သင်ခန်းစာအစီအစဉ်သည် စတင်လေ့လာသူများအတွက် သက်တမ်းတော်ပြီး TensorFlow နှင့် PyTorch ကဲ့သို့သော ကိရိယာများနှင့်အတူ AI တွင် သေချာမှုအကြောင်းကိုလည်း ဖုံးလွှမ်းပေးသည်။
+**အတုယူနိုင်သော ဉာဏ်ရည်** (AI) ကမ္ဘာကြီးကို ကျွန်ုပ်တို့၏ ၁၂ ပတ်၊ ၂၄ ခန်းသင်ကြားရေးအစီအစဉ်ဖြင့် ရှာဖွေပါ! ၎င်းတွင် အကောင်အထည်ဖော်သင်ခန်းစာများ၊ စစ်ဆေးမှုများနှင့် လက်တွေ့ဌာနများ ပါဝင်သည်။ သင်ကြားရေးအစီအစဉ်သည် စတင်လေ့လာသူများအတွက် သင့်တော်ပြီး TensorFlow နှင့် PyTorch ကဲ့သို့သော ကိရိယာများနှင့် AI တွင် ကျင့်သုံးသည့် ဓလေ့များကို ပါဝင်သည်။

-### 🌐 ဘာသာစကားစုံ ထောက်ပံ့မှု
+### 🌐 ဘာသာစကားမျိုးစုံ ထောက်ပံ့မှု

-#### GitHub Action မှတဆင့် ထောက်ပံ့သည်(အလိုအလျောက်နှင့် အမြဲတမ်း နောက်ဆုံးပေါ်)
+#### GitHub Action မှတဆင့် ထောက်ပံ့ (အလိုအလျောက် & အမြဲပြောင်းလဲပြီး)

 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](./README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](./README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Khmer](../km/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)

-> **ဒေသတွင်းကွန်ပျူတာမှာ ကလုန်းလုပ်ချင်ပါသလား?**
+> **ဒေသခံကို ကလုံးချင်ပါသလား?**
 >
-> ဤ repository တွင် 50+ ဘာသာစကားဘာသာပြန်ဆိုမှုများပါဝင်သဖြင့် ဒေါင်းလုပ်အရွယ်အစားကို ထိရောက်စွာတိုးမြှင့်သည်။ ဘာသာပြန်ချက်များမပါဘဲ ကလုန်းလုပ်လိုပါက sparse checkout ကို အသုံးပြုပါ။
+> ဤဂိုဒေါင်းသည် ဘာသာစကား ၅၀ ကျော် ဘာသာပြန်မှုများ ပါဝင်ပြီး ဒေါင်းလုပ်ဖိုင်အရွယ်အစားကို ထိရောက်စွာ တိုးမြှင့်ပေးသည်။ ဘာသာပြန်မှု မပါဘဲ ကလုံးချင်လျှင် sparse checkout ကို အသုံးပြုပါ:
 >
 > **Bash / macOS / Linux:**
 > ```bash
@ -45,135 +45,135 @@
 > git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
 > ```
 >
-> ၎င်းက သင်သင်ကြားမှုကို ပြီးမြောက်စေဖို့ လိုအပ်သမျှ အရာအားလုံးကို ပိုမိုလျင်မြန်စွာ ဒေါင်းလုပ်လုပ်နိုင်စေပါတယ်။
+> ၎င်းအဖြစ် သင်တန်းကို ပြီးမြောက်ရန် လိုအပ်သော အရာအားလုံးကို အမြန်ဆုံး ဒေါင်းလုပ်ပြုလုပ်နိုင်ပါသည်။
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->

-**ထပ်မံသောဘာသာပြန်ချက်များလိုအပ်ပါက [ဒီနေရာမှာ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) တွင် ပါရှိသော်လည်း လမ်းညွှန်ချက်များ ရှိပါသည်။**
+**ထပ်ဆောင်းဘာသာစကားများ ထောက်ပံ့လိုပါက [ဒီနေရာတွင်](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) စာရင်းဖြင့် ကြည့်ရှုနိုင်ပါသည်**

-## အသိုင်းအဝိုင်းတွင် ပါဝင်ပါ
+## လူမှုအသိုင်းအဝိုင်းကို ပူးပေါင်းပါ
 [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)

-## သင်ယူမယ့်အကြောင်းအရာများ
+## သင်ဘာများ သင်ယူမည်လဲ

-**[သင်တန်းကြီး လမ်းညွှန်မြေပုံ](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
+**[သင်တန်း၏ စိတ်ဓာတ်စက်ရေးမြေပုံ](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**

-ဤ သင်တန်းအစီအစဉ်တွင် သင် တက်ရောက်သင်ယူမည့်အရာများမှာ-
+ဤသင်ရိုး၌ သင်မှာ-

-* အတုယူမှုနည်းလမ်းအမျိုးမျိုး၊ အထူးသဖြင့် **အသိပညာကို ကိုယ်စားပြုခြင်း**နှင့် အကြောင်းတရားသရုပ်ပြခြင်းပါဝင်သည့် "အဟောင်း အဆန်း" ဂုဏ်သရုပ်ဆိုင်ရာနည်းလမ်း ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))။
-* ခေတ်သစ် AI ၏ အဓိက အစိတ်အပိုင်းဖြစ်သည့် **နယူးရယ်ကွန်ယက်များ** နှင့် **နက်ရှိုင်းသင်ယူမှု**များ။ ဤအကြောင်းအရာအရေးကြီးများ၏ အယူအဆများကို လူကြိုက်များသော Framework နှစ်ခုဖြစ်သည့် [TensorFlow](http://Tensorflow.org) နှင့် [PyTorch](http://pytorch.org) ကိုအသုံးပြုပြီး ကုဒ်ဖြင့်ရှင်းလင်းပြသမည်။
-* ပုံနှင့်စာသားများနှင့်အလုပ်လုပ်ဖို့အတွက် **နယူးရယ် ဖွဲ့စည်းမှုများ**။ နောက်ဆုံးပေါ် မော်ဒယ်များကို အနှောင့်အယှက်နည်းနည်းဖြင့် ဖုံးလွှမ်းပေးမည်။
-* နည်းလမ်းနည်းနည်း နာမည်ကြီးသည်မဟုတ်သော AI နည်းလမ်းများကဲ့သို့ **ယဉ်ကျေးမှုရေးဇီ၀ဗေဒနည်းလမ်းများ**နှင့် **စွမ်းဆောင်ရည်များစွာရှိသော စနစ်များ**။
+* အတုယူနိုင်သော ဉာဏ်ရည်အတွက် ကွဲပြားသောနည်းလမ်းများ၊ အထူးသဖြင့် **အသိပညာတင်စားခြင်း** နှင့် စဉ်းစားချက်များပါဝင်သော "ကောင်းမွန်သောဟောင်းရိုးသော" သင်္ကေတအခြေစိုက်နည်းလမ်း ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)) ကို သင်ကြားမည်။
+* စတင်လက်တွေ့အသုံးချ AI ၏ အဓိကအထောက်အထားဖြစ်သော **နယူးရယ်ကွန်ရက်များ** နှင့် **နက်ရှိုင်းလေ့လာမှု**ကို သင်ယူမည်။ ဤ အရေးကြီးသောအကြောင်းအရာများကို နိုင်ငံအလိုက်သုံးသပ်နိုင်ရန် ကုဒ်ဖြင့် [TensorFlow](http://Tensorflow.org) နှင့် [PyTorch](http://pytorch.org) ဆိုသော နာမည်ကျော် framework နှစ်ခုတွင် အညွှန်းပြသမည်။
+* ဓါတ်ပုံများနှင့် စာသားများကို ဆက်သွယ်ဆောင်ရွက်ရာတွင် အသုံးပြုသော **နယူးရယ်ဆောက်လုပ်ပုံများ**။ နောက်ဆုံးပေါ်ပုံစံများကို ဖော်ပြပါမည်၊ သို့သော် နည်းပညာအဆင့်အတန်းတွင် အနည်းငယ်ကျရှုံးနိုင်ပါသည်။
+* နည်းမကျယ်ပြန့်သော AI နည်းလမ်းများဖြစ်သည့် **ဂျီနက်တစ် အယ်လဂေါရီသမ်များ** နှင့် **အများအပြား ကိုယ်စားလှယ် စနစ်များ** ကိုလည်း ကောက်နှုတ်မည်။

-ဤ သင်တန်းအစီအစဉ်တွင် မဖုံးလွှမ်းမည့်အရာများမှာ-
+ဤသင်ရိုးတွင် မပါဝင်သော အကြောင်းအရာများ-

-> [ဤသင်တန်းအတွက် ထပ်မံလိုအပ်သော ရင်းမြစ်များအားလုံးကို ကျွန်ုပ်တို့၏ Microsoft Learn စုစည်းမှုတွင် ရှာဖွေပါ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
+> [ဤသင်တန်းအတွက် ထပ်ဆောင်းရင်းမြစ် အားလုံးကို Microsoft Learn စုစည်းမှုတွင် ရှာဖွေကြည့်ရှုနိုင်ပါသည်](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)

-* စီးပွားရေးတွင် အသုံးပြုသော **AI စီးပွားရေးမှတ်စုများ**။ Microsoft Learn ပေါ်တွင် [စီးပွားရေး အသုံးပြုသူများအတွက် AI အခြေခံ](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) သင်ခန်းစာလမ်းကြောင်း သို့မဟုတ် [AI စီးပွားရေးကျောင်း](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) မှာ သင်ကြားနိုင်သည်၊ ၎င်းကို [INSEAD](https://www.insead.edu/) နှင့် တွဲဖက်၍ ဖန်တီးထားသည်။
-* သာမာန် **စက်လေ့လာမှု**၊ ၎င်းကို ကျွန်ုပ်တို့၏ [စက်လေ့လာမှုကို စတင်သူများအတွက် သင်ခန်းစာပုံစံ](http://github.com/Microsoft/ML-for-Beginners) မှာ အသေးစိတ် ဖော်ပြထားသည်။
-* Practical AI applications များကို **[အကြောင်းအရာနှင့်ဆက်စပ်ဝန်ဆောင်မှုများ](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ဖြင့် တည်ဆောက်ခြင်း။ ၎င်းအတွက် Microsoft Learn တွင် [မြင်တွေ့မှု](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [သဘာဝဘာသာစကားကို လေ့လာခြင်း](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI Service ဖြင့် ပြုလုပ်သော Generative AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** နှင့် အခြားများကို စတင်ပါရန် အကြံပြုသည်။
-* အထူးသီးသန့် ML **Cloud Frameworks** များ၊ ဥပမာ [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) သို့မဟုတ် [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum) အသုံးပြုခြင်း။ [Azure Machine Learning ဖြင့် စက်လေ့လာမှု ဖြေရှင်းမှုများ ဖန်တီးခြင်းနှင့် လည်ပတ်ခြင်း](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) နှင့် [Azure Databricks ဖြင့် စက်လေ့လာမှု ဖြေရှင်းမှုများ ဖန်တီးခြင်းနှင့် လည်ပတ်ခြင်း](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) သင်ခန်းစာလမ်းကြောင်းများကို သုံးစွဲဖို့ အကြံပြုသည်။
-* **ပြောဆိုဆက်ဆံရေး AI** နှင့် **စကားပြောအလိုလိုက် ခြေရာခံစနစ်များ**။ အသီးအသီး သီးခြား [ပြောဆိုဆက်ဆံရေး AI ဖြေရှင်းမှုများ ဖန်တီးခြင်း](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) သင်ခန်းစာလမ်းကြောင်းရှိပြီး၊ အသေးစိတ်အတွက် [ဤ ဘလော့ဂ်ပို့စ်](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ကိုလည်း ရည်ညွှန်းနိုင်သည်။
-* နက်ရှိုင်းတဲ့ သင်ယူမှု၏ နောက်ကွယ်ရှိ **နက်ရှိုင်းတဲ့ သင်ကြားမှု သင်္ချာ**။ ၎င်းအတွက် Ian Goodfellow, Yoshua Bengio နှင့် Aaron Courville တို့ရေးသားသော [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) စာအုပ်ကို အကြံပြုထားပြီး၊ အွန်လိုင်းတွင်ပါ ရနိုင်သည် - [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)။
+* **စီးပွားရေးလုပ်ငန်းများတွင် AI သုံးခြင်း** အကြောင်း လေ့လာချင်ပါက Microsoft Learn တွင်ရှိသော [စီးပွားရေးအသုံးပြုသူများအတွက် AI အကျဉ်း](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) သင်ကြားမှုလမ်းကြောင်း သို့မဟုတ် [AI စီးပွားရေးကျောင်း](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) ကို [INSEAD](https://www.insead.edu/) နှင့် ပူးပေါင်းဖွံ့ဖြိုးထားသည်ကို သုံးပြိုင်ပါ။
+* ကျွန်ုပ်တို့၏ [စတင်လေ့လာသူများအတွက် စက်သင်ကြားမှု သင်ရိုး](http://github.com/Microsoft/ML-for-Beginners) တွင် လေ့လာထားသည့် **အားရေ Machine Learning** များ။
+* **[ပညာစွမ်းဆောင်မှု ဝန်ဆောင်မှုများ](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ဖြင့် ဆောက်လုပ်ထားသည့် လက်တွေ့ AI လျှောက်လွှာများ။ ဤအတွက်၊ Microsoft Learn တွင်ရှိသော [မြင်ကွင်း](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)၊ [ဘာသာစကားသဘာဝ စီမံခန့်ခွဲမှု](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)၊ **[Azure OpenAI ဝန်ဆောင်မှုဖြင့် ဖန်တီးရေး AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** နှင့် အခြားများကို စတင်လေ့လာရန် အကြံပြုသည်။
+* [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)၊ [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) သို့မဟုတ် [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum) ကဲ့သို့သော စက်မှုလေ့လာမှုများအတွက် **Cloud Frameworks** များ။ [Azure Machine Learning ဖြင့် စက်မှုလေ့လာမှု ဖြေရှင်းချက်များ ဆောက်လုပ်နှင့် ပြောဆိုင်ခြင်း](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) နှင့် [Azure Databricks ဖြင့် စက်မှုလေ့လာမှု ဖြေရှင်းချက်များ ဆောက်လုပ်နှင့် ပြောဆိုင်ခြင်း](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) သင်ကြားလမ်းကြောင်းများကို အသုံးပြုပါ။
+* **ဘာသာစကား စကားပြော AI** နှင့် **စကားပြောဘော့များ**။ အကြောင်းအရာများကို အသီးသီးခြား၍ [ဘာသာစကား စကားပြော AI ဖြေရှင်းချက်များ ဖန်တီးခြင်း](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) သင်ကြားလမ်းကြောင်း ရှိပြီး၊ ပိုမိုအသေးစိတ်အတွက် [ဒီဘလော့ဂ်ပို့စ်](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ကိုလည်း ဖတ်ရှုနိုင်ပါသည်။
+* နက်ရှိုင်းသော လေ့လာမှု၏ နောက်ခံ **ဂဏန်းသင်္ချာ**။ ဤအတွက် Ian Goodfellow၊ Yoshua Bengio နှင့် Aaron Courville တို့ရေးသားသော [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) စာအုပ်ကို တိုက်တွန်းပါမည်၊ လတ်တလောတွင် [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) တွင် အွန်လိုင်းလည်း ရပါသည်။

-_AI in the Cloud_ ခေါင်းစဉ်အား တဖြည်းဖြည်းသိရှိသွားရန်အတွက် [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) သင်ခန်းစာလမ်းကြောင်းကို ကြည့်ရှုပါ။
+_Cloud တွင် AI_ ချဉ်းကပ်မှုအတွက် သက်တောင့်သက်သာ စတင်လေ့လာလိုပါက [Azure ပေါ်ရှိ အတုယူနိုင်သော ဉာဏ်ရည် စတင်ဆောင်ရွက်ခြင်း](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) သင်ကြားလမ်းကြောင်းကို စဥ်းစားနိုင်ပါသည်။

-# အကြောင်းအရာများ
+# အကြောင်းအရာ

-|     |                                                                 Lesson Link                                                                  |                                           PyTorch/Keras/TensorFlow                                          | Lab                                                            |
+|     |                                                                 သင်ခန်းစာ Link                                                                  |                                           PyTorch/Keras/TensorFlow                                          | လက်တွေ့ဌာန                                                            |
 | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
-| 0  |                                 [Course Setup](./lessons/0-course-setup/setup.md)                                 |                      [Setup Your Development Environment](./lessons/0-course-setup/how-to-run.md)                       |   |
-| I  |               [**AI သို့ သွားရောက်မှု**](./lessons/1-Intro/README.md)      | | |
-| 01  |       [AI ၏စာတမ်းနှင့် သမိုင်း](./lessons/1-Intro/README.md)       |           -                            | -  |
-| II |              **ဂုဏ်သရုပ်ဆိုင်ရာ AI**              |
-| 02  |       [အသိပညာကိုတင်ပြခြင်းနှင့် အထူးပြုစနစ်များ](./lessons/2-Symbolic/README.md)       |            [အထူးပြုစနစ်များ](./lessons/2-Symbolic/Animals.ipynb) /  [အယူအဆပေါ်လွင်မှု](./lessons/2-Symbolic/FamilyOntology.ipynb) /[အယူအဆဇယား](./lessons/2-Symbolic/MSConceptGraph.ipynb)                             |  |
-| III |                        [**နယူးရယ်ကွန်ယက်များအကြောင်းအကျဉ်း**](./lessons/3-NeuralNetworks/README.md) |||
-| 03  |                [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md)                 |                       [မှတ်စုစာအုပ်](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb)                      | [ဆောင်းပါးခန်း](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
-| 04  |                   [Multi-Layered Perceptron နှင့် မိမိ Framework ကိုဖန်တီးခြင်း](./lessons/3-NeuralNetworks/04-OwnFramework/README.md)                   |        [မှတ်စုစာအုပ်](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb)        | [ဆောင်းပါးခန်း](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
-| 05  |            [Framework များ (PyTorch/TensorFlow) နှင့် Overfitting အကြောင်းအကျဉ်း](./lessons/3-NeuralNetworks/05-Frameworks/README.md)             |           [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb)             | [ဆောင်းပါးခန်း](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
-| IV  |            [**ကွန်ပျူတာမြင်ကွင်း**](./lessons/4-ComputerVision/README.md)             | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Microsoft Azure တွင် ကွန်ပျူတာမြင်ကွင်းကို စူးစမ်းကြည့်မည်](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
-| 06  |            [ကွန်ပျူတာမြင်ကွင်းအကြောင်းအကျဉ်း ဝင်ရောက်အကြောင်း OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md)             |           [မှတ်စုစာအုပ်](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb)         | [ဆောင်းပါးခန်း](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
-| 07  |            [Convolutional Neural Networks](./lessons/4-ComputerVision/07-ConvNets/README.md) &  [CNN အင်ဂျင်နီယာနည်းပညာများ](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md)             |           [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb)             | [ဆောင်းပါးခန်း](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
-| 08  |            [ရှေ့ပြေးလေ့ကျင့်ဆုံးဖွဲ့ပြီးသောကွန်ယက်များနှင့် သင်ကြားမှုလေ့ကျင့်မှု ပြောင်းလဲခြင်း](./lessons/4-ComputerVision/08-TransferLearning/README.md) နှင့် [သင်ကြားမှုနည်းလမ်းများ](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md)             |           [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb)             | [ဆောင်းပါးခန်း](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
+| 0  |                                 [သင်တန်း ပတ်သတ်မှု](./lessons/0-course-setup/setup.md)                                 |                      [သင့်ဖွံ့ဖြိုးရေးပတ်ဝန်းကျင်ကို ပြင်ဆင်ခြင်း](./lessons/0-course-setup/how-to-run.md)                       |   |
+| I  |               [**AI မိတ်ဆက်**](./lessons/1-Intro/README.md)      | | |
+| 01  |       [AI မိတ်ဆက်နှင့် သမိုင်း](./lessons/1-Intro/README.md)       |           -                            | -  |
+| II |              **သင်္ကေတ AI**              |
+| 02  |       [အသိပညာကိုယ်စားပြုမှုနှင့် ကျွမ်းကျင်ပညာရှိစနစ်များ](./lessons/2-Symbolic/README.md)       |            [ကျွမ်းကျင်ပညာရှိစနစ်များ](./lessons/2-Symbolic/Animals.ipynb) /  [အသိအမြင်ရသပုံရိပ်](./lessons/2-Symbolic/FamilyOntology.ipynb) /[အတွေးအခေါ်ဇယား](./lessons/2-Symbolic/MSConceptGraph.ipynb)                             |  |
+| III |                        [**နေ့ခြယ်ကွန်ယက်များသို့ နိဒါန်း**](./lessons/3-NeuralNetworks/README.md) |||
+| 03  |                [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md)                 |                       [စာမျက်နှာဖြင့် စမ်းသပ်ရန်](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb)                      | [လက်တွေ့ လေ့ကျင့်ခန်း](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
+| 04  |                   [အလွှာ များပါသော Perceptron နှင့် ကိုယ်ပိုင် Framework ဖန်တီးခြင်း](./lessons/3-NeuralNetworks/04-OwnFramework/README.md)                   |        [စာမျက်နှာဖြင့် စမ်းသပ်ရန်](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb)        | [လက်တွေ့ လေ့ကျင့်ခန်း](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
+| 05  |            [Framework များသို့ နိဒါန်း (PyTorch/TensorFlow) နှင့် မကြာခဏဖြစ်သောမမှန်မှုများ](./lessons/3-NeuralNetworks/05-Frameworks/README.md)             |           [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb)             | [လက်တွေ့ လေ့ကျင့်ခန်း](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
+| IV  |            [**ကွန်ပျူးတာမြင်ကွင်း**](./lessons/4-ComputerVision/README.md)             | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Microsoft Azure တွင် ကွန်ပျူးတာမြင်ကွင်း ကို စူးစမ်းရန်](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
+| 06  |            [ကွန်ပျူးတာမြင်ကွင်းသို့ နိဒါန်း။ OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md)             |           [စာမျက်နှာဖြင့် စမ်းသပ်ရန်](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb)         | [လက်တွေ့ လေ့ကျင့်ခန်း](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
+| 07  |            [Convolutional Neural Networks](./lessons/4-ComputerVision/07-ConvNets/README.md) &  [CNN အဆောက်အအုံများ](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md)             |           [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb)             | [လက်တွေ့ လေ့ကျင့်ခန်း](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
+| 08  |            [ရှေ့ပြေးကြိုတင်လေ့လာပြီးသောကွန်ယက်များနှင့် ဒေတာလွှဲပြောင်းသင်ကြားမှု](./lessons/4-ComputerVision/08-TransferLearning/README.md) နှင့် [ပြိုင်ဆိုင်သင်ကြားမှု လျှို့ဝှက်နည်းများ](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md)             |           [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb)             | [လက်တွေ့ လေ့ကျင့်ခန်း](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
 | 09  |            [Autoencoders နှင့် VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md)             |           [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb)             |  |
-| 10  |            [Generative Adversarial Networks နှင့် အနုပညာ စတိုင်အသီးသီး လွှဲပြောင်းခြင်း](./lessons/4-ComputerVision/10-GANs/README.md)             |           [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb)             |  |
-| 11  |            [အရာဝတ္ထုဖော်ထုတ်ခြင်း](./lessons/4-ComputerVision/11-ObjectDetection/README.md)             |         [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb)             | [ဆောင်းပါးခန်း](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
-| 12  |            [အဓိပ္ပာယ်လိုက် သီးခြားခြင်း။ U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md)             |           [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb)             |  |
-| V  |            [**ဘာသာစကားသက်ဆိုင်ရာ သဘာဝစွမ်းဆောင်မှု**](./lessons/5-NLP/README.md)             | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Microsoft Azure တွင် သဘာဝဘာသာစကား ဆော့ဖ်ဝဲဆိုင်ရာ စူးစမ်းကြည့်မည်](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
-| 13  |            [စာသားကိုယ်စားပြုမှု။ Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb)             | |
-| 14  |            [အဓိပ္ပာယ် ပါသော စကားလုံးများ ထည့်သွင်းခြင်း။ Word2Vec နှင့် GloVe](./lessons/5-NLP/14-Embeddings/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb)             |  |
-| 15  |            [ဘာသာစကား မော်ဒယ်ဖန်တီးခြင်း။ မိမိ၏ အတွဲများကို သင်ကြားခြင်း](./lessons/5-NLP/15-LanguageModeling/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb)             | [ဆောင်းပါးခန်း](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
+| 10  |            [Generative Adversarial Networks နှင့် အနုပညာစတိုင် လွှဲပြောင်းမှု](./lessons/4-ComputerVision/10-GANs/README.md)             |           [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb)             |  |
+| 11  |            [အရာဝတ္ထုဖော်ထုတ်ခြင်း](./lessons/4-ComputerVision/11-ObjectDetection/README.md)             |         [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb)             | [လက်တွေ့ လေ့ကျင့်ခန်း](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
+| 12  |            [Semantic Segmentation. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md)             |           [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb)             |  |
+| V  |            [**သဘာဝဘာသာစကား ပြုမူရေးသားခြင်း**](./lessons/5-NLP/README.md)             | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Microsoft Azure တွင် သဘာဝဘာသာစကား ပြုမူရေးသားခြင်း ကို စူးစမ်းရန်](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
+| 13  |            [စာသား ကိုယ်စားပြုခြင်း။ Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb)             | |
+| 14  |            [Semantic word embeddings. Word2Vec နှင့် GloVe](./lessons/5-NLP/14-Embeddings/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb)             |  |
+| 15  |            [ဘာသာစကား မော်ဒယ်ပြုစုပြုလုပ်ခြင်း။ ကိုယ်ပိုင် embedding များ သင်ကြားခြင်း](./lessons/5-NLP/15-LanguageModeling/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb)             | [လက်တွေ့ လေ့ကျင့်ခန်း](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
 | 16  |            [Recurrent Neural Networks](./lessons/5-NLP/16-RNN/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb)             |  |
-| 17  |            [Generative Recurrent Networks](./lessons/5-NLP/17-GenerativeNetworks/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb)             | [ဆောင်းပါးခန်း](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
+| 17  |            [Generative Recurrent Networks](./lessons/5-NLP/17-GenerativeNetworks/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb)             | [လက်တွေ့ လေ့ကျင့်ခန်း](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
 | 18  |            [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb)             |  |
-| 19  |            [အမည်ထားရှိသည့် အဖွဲ့ဝင် ဖော်ထုတ်ခြင်း](./lessons/5-NLP/19-NER/README.md)             |           [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb)             | [ဆောင်းပါးခန်း](./lessons/5-NLP/19-NER/lab/README.md) |
-| 20  |            [ကြီးမားသော ဘာသာစကား မော်ဒယ်များ၊ Prompt Programming နှင့် Few-Shot လုပ်ငန်းများ](./lessons/5-NLP/20-LangModels/README.md)             |           [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
-| VI |            **အခြား AI နည်းစနစ်များ** || |
-| 21  |            [ဂျီနက်တစ်အယ်လ်ဂေါရစ်သမ်များ](./lessons/6-Other/21-GeneticAlgorithms/README.md)             |           [မှတ်စုစာအုပ်](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
-| 22  |            [နက်ရှိုင်းသော အားပေးလေ့လာမှု](./lessons/6-Other/22-DeepRL/README.md)             |           [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb)             | [ဆောင်းပါးခန်း](./lessons/6-Other/22-DeepRL/lab/README.md) |
-| 23  |            [အများပြည်သူအေဂျင့်စနစ်များ](./lessons/6-Other/23-MultiagentSystems/README.md)             |  | |
-| VII |            **AI သဘာဝကျကျ အကျင့်စရိုက်များ** | | |
-| 24  |            [AI သဘာဝကျကျ အကျင့်စရိုက်နှင့် တာဝန်ယူမှုရှိသော AI](./lessons/7-Ethics/README.md)             |           [Microsoft Learn: တာဝန်ယူမှုရှိ AI ကိုယ်စားပြုချက်များ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
-| IX  |            **ထပ်ဆောင်းများ** | | |
-| 25  |            [Multi-Modal Networks, CLIP နှင့် VQGAN](./lessons/X-Extras/X1-MultiModal/README.md)             |           [မှတ်စုစာအုပ်](./lessons/X-Extras/X1-MultiModal/Clip.ipynb)    | |
+| 19  |            [အမည်ရ အခန်းကဏ္ဍ အသိအမှတ်ပြုခြင်း](./lessons/5-NLP/19-NER/README.md)             |           [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb)             | [လက်တွေ့ လေ့ကျင့်ခန်း](./lessons/5-NLP/19-NER/lab/README.md) |
+| 20  |            [ကြီးမားသော ဘာသာစကား မော်ဒယ်များ၊ Prompt Programming နှင့် နည်းပါးသော တိုက်ရိုက် လုပ်ဆောင်မှုများ](./lessons/5-NLP/20-LangModels/README.md)             |           [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
+| VI |            **အခြား AI နည်းပညာများ** || |
+| 21  |            [Genetic Algorithms](./lessons/6-Other/21-GeneticAlgorithms/README.md)             |           [စာမျက်နှာဖြင့် စမ်းသပ်ရန်](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
+| 22  |            [နက်ရှိုင်းသော အားပေးသင်ကြားမှု](./lessons/6-Other/22-DeepRL/README.md)             |           [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb)             | [လက်တွေ့ လေ့ကျင့်ခန်း](./lessons/6-Other/22-DeepRL/lab/README.md) |
+| 23  |            [ဗဟိုပြု စနစ်များ](./lessons/6-Other/23-MultiagentSystems/README.md)             |  | |
+| VII |            **AI ကျင့်ဝတ်များ** | | |
+| 24  |            [AI ကျင့်ဝတ်ပြုမှုနှင့် တာဝန်ကျေမှုရှိသော AI](./lessons/7-Ethics/README.md)             |           [Microsoft Learn: တာဝန်ရှိသော AI စည်းကမ်းများ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
+| IX  |            **အပိုဆောင်းများ** | | |
+| 25  |            [အမျိုးမျိုးသော အချင်းချင်း ကွန်ယက်များ၊ CLIP နှင့် VQGAN](./lessons/X-Extras/X1-MultiModal/README.md)             |           [စာမျက်နှာဖြင့် စမ်းသပ်ရန်](./lessons/X-Extras/X1-MultiModal/Clip.ipynb)    | |

-## တစ်ခုချင်းလက်ကားတွင် ပါဝင်သော အရာများ
-* အကြိုဖတ်စာကြောင်းများ  
-* ချက်ချင်းအလုပ်လုပ်နိုင်သော Jupyter Notebooks များ၊ အများဆုံးသည် **PyTorch** သို့မဟုတ် **TensorFlow** ဖွဲ့စည်းမှုများအထူးသည့်။ အလုပ်လုပ်နိုင်သော notebook တွင် သီအိုရီဆိုင်ရာ အကြောင်းအရာများ များပြားသောကြောင့် နားလည်ရန်အတွက် အနည်းဆုံး notebook တစ်ခုလျှောက်လည်သင့်သည် (PyTorch သို့မဟုတ် TensorFlow)။  
-* တချို့ ရွေးချယ်မှုများတွင် **Labs** ရှိပြီး သင့်လေ့လာသင်ယူမှုကို အထူးပြု ပြဿနာတစ်ခုတွင် သုံးစွဲကြည့်ရန် အခွင့်အလမ်းပေးသည်။  
-* တချို့ အပိုင်းများတွင် [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) မော်ဂျူးများသို့ ချိတ်ဆက်ချက်များ ပါဝင်ကာ ဆက်စပ်အကြောင်းအရာများကို ပေးထားသည်။  
+## သင်ခန်းစာတိုင်းတွင် ပါဝင်သည်များ
+* ကြိုတင်ဖတ်ရှုရန်ပစ္စည်းများ
+* Framework တစ်ခုချင်းစီအတွက် အထူးပြုသော **PyTorch** သို့မဟုတ် **TensorFlow** ဖြင့်ရေးသားထားသည့် အကောင်အထည်ဖော်နိုင်သော Jupyter Notebooks များ။ အကောင်အထည်ဖော်နိုင်သော notebook တွင် လည်းသိပ္ပံနည်းကျ အကြောင်းအရာများများ ပါဝင်သောကြောင့်၊ ခေါင်းစဉ်ကိုနားလည်ရန်အတွက် PyTorch သို့မဟုတ် TensorFlow ထဲမှ တစ်ခုခုရဲ့ notebook ဗားရှင်းတစ်ခုကနေဖြတ်သန်းဖတ်ရှုရပါမည်။
+* သင်ယူလေ့လာထားသည့် ပစ္စည်းများကို သီးခြားပြဿနာတစ်ခုတည်ဆောက်ရန် ကြိုးစားလေ့လာစမ်းသပ်နိုင်သည့် **Labs** များအချို့အတွက်ရရှိနိုင်သည်။
+* ခေါင်းစဉ်အချို့တွင် ဆက်စပ်ခေါင်းစဉ်များကိုဖုံးလွှမ်းသည့် [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modules များအတွက် လင့်များပါဝင်သည်။

-## စတင်ရန်
+## စတင်ခြင်း

-### 🎯 AI အကြောင်း အသစ်လား? ဒီနေရာကနေ စလိုက်ပါ!
+### 🎯 AI အသစ်လား? ဒီနေရာကနေ စတင်ပါ!

-AI အကြောင်း အသစ်ပြီး လျင်မြန်သော လက်တွေ့နမူနာများ လိုအပ်ပါက ကျွန်ုပ်တို့ရဲ့ [**အခြေခံသူများအတွက်နမူနာများ**](./examples/README.md) ကို ကြည့်ပါ။ အဆိုပါနမူနာများတွင် ပါဝင်သည်မှာ -  
+AI ကို အသစ်စ completely လုံးဝမသိဘဲ အမြန်လက်တွေ့ နမူနာများကူညီဖို့လိုရင်တော့ ကျွန်ုပ်တို့ရဲ့ [**ဆရာကြီးအတွက် အဆင်ပြေသော ဥပမာများ**](./examples/README.md) ကိုကြည့်ပေးပါ။ ဥပမာများတွင် ပါဝင်သည်မှာ -

- 🌟 **Hello AI World** - သင့်ရဲ့ ပထမဆုံး AI ပရိုဂရမ် (ပုံစံ သတိပြုခြင်း)  
- 🧠 **ရိုးရှင်းသော Neural Network** - Neural network ကို စတင်တည်ဆောက်ခြင်း  
- 🖼️ **ပုံတစ်ပုံအမျိုးအစားခွဲခြားရေး** - ပုံများကို အသေးစိတ် မှတ်ချက်များဖြင့် ခွဲခြားပါ  
- 💬 **စာသားခံစားချက်** - စာသားအပေါ် အပေါင်းအခြား စာသားများကို ခွဲခြားသုံးသပ်ခြင်း  
+- 🌟 **Hello AI World** - သင့်အတွက်ပထမဆုံး AI ပရိုဂရမ် (ပုံစံသိမြင်ခြင်း)
+- 🧠 **ရိုးရှင်းသော နေရယ်နက်နက်ဝက် (Neural Network)** - အခြေခံကနေ neural network တည်ဆောက်ခြင်း  
+- 🖼️ **ပုံရိပ်ခွဲခြားသူ** - အသေးစိတ်မှတ်ချက်များနှင့် ပုံများခွဲခြားခြင်း
+- 💬 **စာသားခံစားချက်** - အနောက် positive/negative စာသား ဝေဖန်ခြင်း

-ဒီနမူနာများသည် AI အယူအဆကို လေ့လာမှု အပြည့်အစုံထဲသို့ ဝင်မည့် အကြောင်းကို နားလည်ရန် အထောက်အကူပြုသည်။  
+ဒီဥပမာတွေက AI အကြောင်းအရာနားလည်မှုရဖို့လုပ်ထားပါတယ်၊ သင့်ကို အပြည့်အစုံ သင်ရဖြစ်တဲ့ဘာသာရပ်အထဲ ဝင်မတိုင်မှ ပိုကောင်းစေရန်ဖြစ်ပါတယ်။

-### 📚 စုံလင်သော သင်ရိုးညွှန်းတမ်း ပြင်ဆင်ခြင်း
+### 📚 အပြည့်အစုံ သင်ရေရာ့ ကုလားအုံ

- သင်၏ ဖွံ့ဖြိုးမှု ပတ်ဝန်းကျင်ကို ပြင်ဆင်ရန်အတွက် [တပ်ဆင်မှု သင်ခန်းစာ](./lessons/0-course-setup/setup.md) တစ်ခု ပြုလုပ်ထားသည်။  
- ဆရာ/ဆရာမများအတွက်လည်း [သင်ရိုးညွှန်းတမ်း ပြင်ဆင်ခြင်း သင်ခန်းစာ](./lessons/0-course-setup/for-teachers.md) တစ်ခု ပြုလုပ်ထားသည်။  
- VSCode သို့မဟုတ် Codespace တွင် [ကုဒ်ဆောင်ရွက်နည်း](./lessons/0-course-setup/how-to-run.md)  
+- သင့်ရဲ့ ဖွံ့ဖြိုးတိုးတက်ရေးပတ်ဝန်းကျင်ကို သက်ဆိုင်ရာ ချိန်ညှိဖို့ [setup lesson](./lessons/0-course-setup/setup.md) သင်ခန်းစာပြုလုပ်ထားပါတယ်။ 
+- ပညာရှင်များအတွက်လည်း [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) ကို လုပ်ထားပါတယ်။
+- VSCode သို့မဟုတ် Codespace အတွင်း ကုဒ်ကို [ပြေးပေးနည်း](./lessons/0-course-setup/how-to-run.md) 

-အောက်ပါ အဆင့်များကို လိုက်နာပါ -  
+ဒီအဆင့်တွေကိုလိုက်နာပါ -

-Repository ကို Fork လုပ်ပါ - ဒီစာမျက်နှာ၏ အပေါ်ယံညာဘက် ကွက်တွင်ရှိသော "Fork" ခလုတ်ကို နှိပ်ပါ။  
+Repository ကို Fork လုပ်ပါ: ဒီစာမျက်နှာ၏ အပေါ်-ညာဘက်ထောင့်ရှိ "Fork" ခလုတ်ကိုနှိပ်ပါ။

-Repository ကို Clone လုပ်ပါ - `git clone https://github.com/microsoft/AI-For-Beginners.git`  
+Repository ကို Clone လုပ်ပါ: `git clone https://github.com/microsoft/AI-For-Beginners.git`

-နောက်မှ ရှာဖွေ၊ အလွယ်တကူ ရနိုင်ဖို့အတွက် ဒီ repo ကို စတား (🌟) မမေ့ပါနှင့်။  
+နောက်တစ်ခါမှာ ရှာဖွေတွေ့ဖို့ အဆင်ပြေစေဖို့ ဒီ repo ကို ကြယ် (🌟) ဖြင့်မှတ်သားထားဖို့ မမေ့ပါနဲ့။

-## အခြားလေ့လာသူများနှင့် တွေ့ဆုံခြင်း
+## အခြား သင်ယူသူများနှင့် တွေ့ဆုံခြင်း

-ဒီသင်တန်းကို လက်ခံလေ့လာနေသူ အခြားလေ့လာသူများနှင့် တွေ့ဆုံ ဆက်ဆံရန်နှင့် ကူညီမှု ရရန် ကျွန်ုပ်တို့၏ [တရားဝင် AI Discord ဆာဗာ](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) တွင် ပါဝင်ပါ။  
+ဒီသင်တန်းကို လေ့လာနေသော အခြားသင်ယူသူများနှင့် တွေ့ဆုံပြီး လူမှုကွန်ယက်များ ပြုလုပ်နိုင်ရန်နှင့် အကူအညီရရန် အတွက် ကျွန်ုပ်တို့ရဲ့ [အတည်ပြု AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) ကို တက်ရောက်ပါ။

-ထုတ်ကုန်အကြံပြုချက် သို့မဟုတ် ညွှန်ကြားမှု ရှိပါက [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) သို့ သွားရောက်စုံစမ်းပါ။  
+စီမံကိန်းတည်ဆောက်မှုအတွင်း ထောက်ခံချက်၊ မေးခွန်းများ ရှိပါက ကျွန်ုပ်တို့ရဲ့ [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) ကို ဝင်ကြည့်ပါ။

-## စစ်ဆေးမေးခွန်းများ  
+## စမ်းသပ်မေးခွန်းများ

-> **စစ်ဆေးမေးခွန်းများအကြောင်း မှတ်ချက်** - အားလုံးသော စစ်ဆေးမေးခွန်းများကို Quiz-app folder တွင် etc\quiz-app တွင်ထားသည်၊ ဒါမှမဟုတ် [အွန်လိုင်းတွင် ဒီနေရာမှာ](https://ff-quizzes.netlify.app/) ရနိုင်ပါသည်။ စစ်ဆေးမေးခွန်းများသည် သင်ခန်းစာများထဲမှ ချိတ်ဆက်ထားပြီး၊ quiz app ကို ဒေသခံတွင် ပြေးနိုင်သလို Azure တွင် တင်ထားနိုင်သည်။ quiz-app ဖိုလ်ဒါအတွင်း ဆင့်များကို အတိုက်အခိုက် လိုက်နာပါ။ အဆင့်ဆင့် ဘာသာပြန်ထားလျက်ရှိသည်။  
+> **စမ်းသပ်မေးခွန်း အကြောင်းမှတ်ချက်**: စမ်းသပ်မေးခွန်းအားလုံးကို Quiz-app ဖိုလ်ဒါထဲ etc\quiz-app တွင် ပါဝင်သည်၊ သို့မဟုတ် [အွန်လိုင်းတွင်](https://ff-quizzes.netlify.app/) လင့်ခ်ထားသည်။ စမ်းသပ်မေးခွန်း app ကို ဒေသတွင်းတွင် ပြေးနိုင်သလို Azure တွင် မိတ်ဆက်နိုင်ပါသည်။ `quiz-app` ဖိုလ်ဒါအတွင်းရှိ မှတ်ချက်များကို လိုက်နာဖြစ်စေပါ။ သင်္ချာအဆင့်တစ်ခုချင်းစီဖြင့် တစ်ကြောင်းချင်းဘာသာပြန်နေဖြစ်သည်။

-## အကူအညီလိုအပ်ပါသည်
+## အကူအညီ လိုအပ်ပါသလား

-အကြံပြုချက်များ သို့မဟုတ် အမှားစာလုံး (spelling) သို့မဟုတ် ကုဒ်အမှားတွေ ရှိပါက တင်ပြပါ သို့မဟုတ် Pull request တောင်းဆိုပါ။  
+အကြံပြုချက်များရှိပါသလား၊ စာလုံးမှားခြင်း သို့မဟုတ် ကုဒ်မှားများ တွေ့ရှိပါသလား? စိစစ်မှုတင်ရန် သို့မဟုတ် pull request ဖန်တီးရန် ပြုလုပ်ပါ။

-## အထူးကျေးဇူးတင်ပါသည်
+## အထူးကျေးဇူးများ

-* **✍️ အဓိကစာရေးသူ:** [Dmitry Soshnikov](http://soshnikov.com), PhD  
-* **🔥 မျက်နှာဖုံးစောက်သူ:** [Jen Looper](https://twitter.com/jenlooper), PhD  
-* **🎨 Sketchnote ပန်းချီဆရာ:** [Tomomi Imura](https://twitter.com/girlie_mac)  
-* **✅ စစ်ဆေးမေးခွန်းဖန်တီးသူ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)  
-* **🙏 အဓိက ပံ့ပိုးသူများ:** [Evgenii Pishchik](https://github.com/Pe4enIks)  
+* **✍️ အဓိကရေးသားသူ:** [Dmitry Soshnikov](http://soshnikov.com), PhD
+* **🔥 ပြင်ဆင်သူ:** [Jen Looper](https://twitter.com/jenlooper), PhD
+* **🎨 စကက်ချန်းရေးဆွဲသူ:** [Tomomi Imura](https://twitter.com/girlie_mac)
+* **✅ စမ်းသပ်မေးခွန်း ဖန်တီးသူ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
+* **🙏 အဓိက ပါဝင်ဆောင်ရွက်သူများ:** [Evgenii Pishchik](https://github.com/Pe4enIks)

-## အခြား သင်ရိုးညွှန်းတမ်းများ
+## အခြားသင်ရိုးညွှန်း

-ကျွန်ုပ်တို့အသင်းသည် အခြားသင်ရိုးညွှန်းတမ်းများကို ထုတ်လုပ်လျက်ရှိသည်! စစ်ဆေးကြည့်ပါ -  
+ကျွန်ုပ်တို့အဖွဲ့သည် အခြားသင်ရိုးညွှန်းများလည်း ထုတ်လုပ်သည်။ ကြည့်ပါ -

 <!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### LangChain
@ -215,19 +215,19 @@ Repository ကို Clone လုပ်ပါ - `git clone https://github.com/mi
 [![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
 <!-- CO-OP TRANSLATOR OTHER COURSES END -->

-## အကူအညီ ရယူရန်
+## အကူအညီ ရယူခြင်း

-AI app များ တည်ဆောက်ရာတွင် ရပ်တန့်မဖြစ်ဘဲ မေးခွန်းများ ရှိပါက MCP နှင့် ပတ်သက်ပြီး အတွေ့အကြုံရှိသူအဖွဲ့နှင့် အခြားလေ့လာသူများနဲ့ ဆွေးနွေးရန် ပါဝင်ပါ။ ဒီသည် ဟာ မေးခွန်းများ လက်ခံပြီး အသိပညာ ရှင်းလင်းဝေမျှမှု အဆင်ပြေသော အသိုင်းအဝိုင်း ဖြစ်သည်။  
+AI အက်ပ်များ တည်ဆောက်ရာတွင် တားဆီးမှုရှိပါက သို့မဟုတ် မေးခွန်းများရှိပါက MCP နှင့်ပတ်သက်သော ဆွေးနွေးပွဲများတွင် သင်တန်းသားများနဲ့ အတွေ့အကြုံရှိ ဖွံ့ဖြိုးတိုးတက်သူများ နှင့် တွဲဖက်ပါဝင်ဆွေးနွေးနိုင်သည်။ ဆွေးနွေးပွဲသည် မေးခွန်းများ ကြိုဆိုပြီး အသိပညာ မျှဝေမှု လွတ်လပ်စွာ ဖြစ်ပွားသော ကြိုးစားမှု အသိုင်းအဝိုင်း ဖြစ်သည်။

-[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)  
+[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)

-ထုတ်ကုန် အကြံပြုချက် သို့မဟုတ် အမှားများ ရှိပါက ဤနေရာတွင် သွားရောက်ပါ -  
+တည်ဆောက်သည့်အခါ ထုတ်ကုန်အကြံပြုချက် သို့မဟုတ် မှားယွင်းချက်များရှိပါက -

 [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)

 ---

 <!-- CO-OP TRANSLATOR DISCLAIMER START -->
-**အသိပေးချက်**  
-ဤစာရွက်စာတမ်းကို AI ဘာသာပြန်ဝန်ဆောင်မှု [Co-op Translator](https://github.com/Azure/co-op-translator) အသုံးပြု၍ ဘာသာပြန်ထားပါသည်။ ကျွန်ုပ်တို့သည် တိကျမှန်ကန်မှုအတွက် ကြိုးစားပေမယ့်၊ စက်မှုဘာသာပြန်မှုသည် အမှားများ သို့မဟုတ် မှားယွင်းမှုများ ပါဝင်နိုင်ကြောင်း သတိပြုပါရန် မေတ္တာရပ်ခံအပ်ပါသည်။ မူလစာရွက်စာတမ်းကို မူလဘာသာဖြင့်သာ သေချာစွာ ကိုးကားရန် သင့်တော်ပါသည်။ အရေးကြီးသော သတင်းအချက်အလက်များအတွက် လူမှုပညာရှင်တို့၏ လုပ်ထုံးလုပ်နည်းဖြင့်ဘာသာပြန်ခြင်းကို အကြံပြုပါသည်။ ဤဘာသာပြန်မှု အသုံးပြုမှုပေါ်တွင် ဖြစ်ပေါ်လာသော နားလည်မှုမှားခြင်းများ သို့မဟုတ် မှားယွင်းနားလည်မှုများအတွက် ကျွန်ုပ်တို့သည် တာဝန်မရှိပါ။
+**အချက်ပြချက်**။  
+ဤစာတမ်းကို AI ဘာသာပြန်ဝန်ဆောင်မှုဖြစ်သော [Co-op Translator](https://github.com/Azure/co-op-translator) ဖြင့် ဘာသာပြန်ထားပါသည်။ ကျွမ်းကျင်မှုရှိရန် ကြိုးစားပါသော်လည်း၊ စက်ရုပ်ဘာသာပြန်ခြင်းအတွက် မမှန်ကန်မှုများ သို့မဟုတ် မှားယွင်းမှုများ ရှိနိုင်ကြောင်း သတိပြုရန်လိုအပ်ပါသည်။ မူလစာတမ်းကို သူ့ဘာသာစကားဖြင့်ပင် ကိုယ်စားပြုအချက်အလက် ဟုယူဆရမည်။ အရေးကြီးသော သတင်းအချက်အလက်များအတွက် လူအဆိုအရ ဘာသာပြန်ခြင်းကို သတင်းအချက်အလက်တပ်ဆင်ရန် အကြံပြုပါသည်။ ဤဘာသာပြန်ချက်လ်အပေါ်မှ မတူညီမှုများ သို့မဟုတ် မှားယွင်းနားမလည်မှုများအတွက် ကျွန်ုပ်တို့ တာဝန်မယူပါ။
 <!-- CO-OP TRANSLATOR DISCLAIMER END -->
--- a/translations/sl/.co-op-translator.json
+++ b/translations/sl/.co-op-translator.json
@ -6,8 +6,8 @@
    "language_code": "sl"
  },
  "README.md": {
-    "original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
-    "translation_date": "2026-02-28T10:06:34+00:00",
+    "original_hash": "12c8eb6bf0867d2f1c32daf613ac5b8b",
+    "translation_date": "2026-04-06T16:31:26+00:00",
    "source_file": "README.md",
    "language_code": "sl"
  },
--- a/translations/sl/README.md
+++ b/translations/sl/README.md
@ -12,24 +12,24 @@

 [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)

-# Umetna inteligenca za začetnike - Načrt učenja
+# Umetna inteligenca za začetnike - učni načrt

 |![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)|
 |:---:|
-| AI Za začetnike - _Sketchnote avtorice [@girlie_mac](https://twitter.com/girlie_mac)_ |
+| AI za začetnike - _Sketchnote avtorice [@girlie_mac](https://twitter.com/girlie_mac)_ |

-Raziščite svet **umetne inteligence** (UI) s našim 12-tedenskim, 24-lekcijskim načrtom učenja! Vključuje praktične lekcije, kvize in laboratorijske vaje. Načrt je prijazen do začetnikov in pokriva orodja, kot sta TensorFlow in PyTorch, pa tudi etiko v UI.
+Raziskujte svet **umetne inteligence** (UI) z našim 12-tedenskim, 24-urnim učnim načrtom! Vključuje praktične lekcije, kvize in laboratorijske vaje. Učni načrt je prijazen do začetnikov in pokriva orodja kot sta TensorFlow in PyTorch, ter tudi etiko v UI.

-### 🌐 Podpora več jezikov
+### 🌐 Podpora za več jezikov

 #### Podprto preko GitHub Action (avtomatizirano in vedno posodobljeno)

 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](./README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
+[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Khmer](../km/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](./README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)

-> **Raje želite lokalno klonirati?**
+> **Raje klonirate lokalno?**
 >
-> Ta repozitorij vključuje več kot 50 prevodov jezikov, kar znatno poveča velikost prenosa. Za kloniranje brez prevodov uporabite sparse checkout:
+> Ta repozitorij vsebuje več kot 50 prevodov jezikov, kar znatno poveča velikost prenosa. Za kloniranje brez prevodov uporabite sparse checkout:
 >
 > **Bash / macOS / Linux:**
 > ```bash
@ -45,37 +45,37 @@ Raziščite svet **umetne inteligence** (UI) s našim 12-tedenskim, 24-lekcijski
 > git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
 > ```
 >
-> Tako dobite vse, kar potrebujete za dokončanje tečaja, z veliko hitrejšim prenosom.
+> To vam daje vse, kar potrebujete za dokončanje tečaja s precej hitrejšo prenosa.
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->

-**Če želite, da so podprti dodatni prevodi jezikov, so ti navedeni [tukaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
+**Če želite, da so podprti dodatni prevodni jeziki, so navedeni [tukaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**

 ## Pridružite se skupnosti
 [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)

 ## Kaj se boste naučili

-**[Mindmap tečaja](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
+**[Miselnoposnetkovna shema tečaja](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**

-V tem načrtu učenja se boste naučili:
+V tem učnem načrtu boste spoznali:

-* Različnih pristopov k umetni inteligenci, vključno s "starim dobrim" simbolnim pristopom s **predstavljanjem znanja** in sklepanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
-* **Nevronskih mrež** in **globokega učenja**, ki sta jedro sodobne UI. Koncepte za tema pomembnima področjema bomo ilustrirali z uporabo kode v dveh najbolj priljubljenih ogrodjih - [TensorFlow](http://Tensorflow.org) in [PyTorch](http://pytorch.org).
-* **Nevronskih arhitektur** za delo s slikami in besedilom. Pokrili bomo najnovejše modele, a morda bomo nekoliko manj v stiku z najsodobnejšim stanjem.
-* Manj priljubljene pristope k UI, kot so **genetski algoritmi** in **sistemi več agentov**.
+* Različne pristope k umetni inteligenci, vključno s "starim dobrim" simboličnim pristopom s **predstavitvijo znanja** in sklepanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
+* **Nevronske mreže** in **globoko učenje**, ki sta osnova sodobne umetne inteligence. Koncepte teh pomembnih tem bomo ponazorili z uporabo kode v dveh najbolj priljubljenih okvirjih - [TensorFlow](http://Tensorflow.org) in [PyTorch](http://pytorch.org).
+* **Nevronske arhitekture** za delo s slikami in besedilom. Pokrili bomo novejše modele, a morda bomo nekoliko manj aktualni glede najmodernejših modelov.
+* Manj priljubljene pristope k umetni inteligenci, kot so **genetski algoritmi** in **sistemi več agentov**.

-Kaj v tem načrtu ne bomo pokrivali:
+Česa ta učni načrt ne vključuje:

-> [Vse dodatne vire za ta tečaj najdete v naši zbirki Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
+> [Najdite vse dodatne vire za ta tečaj v naši zbirki Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)

-* Poslovnih primerov uporabe **UI v poslu**. Razmislite o sprejetju [Uvod v UI za poslovne uporabnike](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) učne poti na Microsoft Learn ali [AI poslovne šole](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvite v sodelovanju z [INSEAD](https://www.insead.edu/).
-* **Klasičnega strojnega učenja**, ki je dobro opisano v našem [Načrtu učenja o strojnega učenja za začetnike](http://github.com/Microsoft/ML-for-Beginners).
-* Praktičnih aplikacij UI, zgrajenih z uporabo **[Kognitivnih storitev](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za to priporočamo začetek z moduli Microsoft Learn za [vid](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [obdelave naravnega jezika](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativno UI z Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** in druge.
-* Specifičnih **oblaku prijaznih ogrodij za ML**, kot so [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) ali [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Razmislite o uporabi učnih poti [Izdelava in upravljanje rešitev strojnega učenja z Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) in [Izdelava in upravljanje rešitev strojnega učenja z Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
-* **Pogovorne UI** in **klepetalne bote**. Obstaja posebna [Učna pot za ustvarjanje pogovornih rešitev UI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), lahko pa si ogledate tudi [ta prispevek na blogu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) za več podrobnosti.
-* **Globoka matematika** za globoko učenje. Za to priporočamo [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) avtorjev Ian Goodfellow, Yoshua Bengio in Aaron Courville, ki je na voljo tudi na spletu na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
+* Poslovni primeri uporabe **UI v podjetništvu**. Razmislite o sprejetju učne poti [Uvod v UI za uporabnike iz podjetij](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn, ali [AI poslovna šola](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvita v sodelovanju z [INSEAD](https://www.insead.edu/).
+* **Klasično strojno učenje**, ki je dobro opisano v našem [učnem načrtu Strojno učenje za začetnike](http://github.com/Microsoft/ML-for-Beginners).
+* Praktične aplikacije umetne inteligence zgrajene z uporabo **[Kognitivnih storitev](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za to priporočamo, da začnete z moduli Microsoft Learn za [videnje](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [obdelavo naravnega jezika](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[generativno UI z Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** in druge.
+* Specifični **oblaki računalništva v oblaku za strojno učenje**, kot so [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) ali [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Razmislite o uporabi učnih poti [Gradnja in upravljanje rešitev strojnega učenja z Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) in [Gradnja in upravljanje rešitev strojnega učenja z Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
+* **Pogovorna UI** in **čatboti**. Obstaja ločena učna pot [Ustvarjanje rešitev pogovorne UI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), prav tako lahko za podrobnosti pogledate [ta blog zapis](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/).
+* **Globoka matematika** za globoko učenje. Za to priporočamo [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) avtorjev Ian Goodfellow, Yoshua Bengio in Aaron Courville, ki je prav tako dostopna na spletu na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).

-Za nežen uvod v teme _UI v oblaku_ lahko razmislite o sprejetju [Začetek z umetno inteligenco na Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) učne poti.
+Za lahek uvod v teme _UI v oblaku_ lahko razmislite o sprejetju učne poti [Začnite z umetno inteligenco na Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).

 # Vsebina

@ -84,95 +84,95 @@ Za nežen uvod v teme _UI v oblaku_ lahko razmislite o sprejetju [Začetek z ume
 | 0  |                                 [Nastavitev tečaja](./lessons/0-course-setup/setup.md)                                 |                      [Nastavite svoje razvojno okolje](./lessons/0-course-setup/how-to-run.md)                       |   |
 | I  |               [**Uvod v UI**](./lessons/1-Intro/README.md)      | | |
 | 01  |       [Uvod in zgodovina UI](./lessons/1-Intro/README.md)       |           -                            | -  |
-| II |              **Simbolna UI**              |
+| II |              **Simbolična UI**              |
 | 02  |       [Predstavitev znanja in ekspertni sistemi](./lessons/2-Symbolic/README.md)       |            [Ekspertni sistemi](./lessons/2-Symbolic/Animals.ipynb) /  [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptni graf](./lessons/2-Symbolic/MSConceptGraph.ipynb)                             |  |
 | III |                        [**Uvod v nevronske mreže**](./lessons/3-NeuralNetworks/README.md) |||
 | 03  |                [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md)                 |                       [Zvezek](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb)                      | [Laboratorij](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
 | 04  |                   [Večplastni perceptron in ustvarjanje lastnega ogrodja](./lessons/3-NeuralNetworks/04-OwnFramework/README.md)                   |        [Zvezek](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb)        | [Laboratorij](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
-| 05  |            [Uvod v ogrodja (PyTorch/TensorFlow) in prenaučevanje](./lessons/3-NeuralNetworks/05-Frameworks/README.md)             |           [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb)             | [Laboratorij](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
-| IV  |            [**Računalniški vid**](./lessons/4-ComputerVision/README.md)             | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Raziščite računalniški vid na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
+| 05  |            [Uvod v ogrodja (PyTorch/TensorFlow) in prekomerno prileganje](./lessons/3-NeuralNetworks/05-Frameworks/README.md)             |           [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb)             | [Laboratorij](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
+| IV  |            [**Računalniški vid**](./lessons/4-ComputerVision/README.md)             | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Razišči računalniški vid na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
 | 06  |            [Uvod v računalniški vid. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md)             |           [Zvezek](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb)         | [Laboratorij](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
-| 07  |            [Konvolucijske nevronske mreže](./lessons/4-ComputerVision/07-ConvNets/README.md) &  [Arhitekture CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md)             |           [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb)             | [Laboratorij](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
-| 08  |            [Predhodno naučene mreže in prenosno učenje](./lessons/4-ComputerVision/08-TransferLearning/README.md) in [Triki pri treningu](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md)             |           [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb)             | [Laboratorij](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
-| 09  |            [Avtoenkoderji in VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md)             |           [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb)             |  |
-| 10  |            [Generativne nasprotujoče se mreže & prenos umetniškega sloga](./lessons/4-ComputerVision/10-GANs/README.md)             |           [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb)             |  |
-| 11  |            [Zaznavanje objektov](./lessons/4-ComputerVision/11-ObjectDetection/README.md)             |         [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb)             | [Laboratorij](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
+| 07  |            [Konvolucijske nevronske mreže](./lessons/4-ComputerVision/07-ConvNets/README.md) &  [CNN arhitekture](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md)             |           [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb)             | [Laboratorij](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
+| 08  |            [Predhodno naučene mreže in prenosno učenje](./lessons/4-ComputerVision/08-TransferLearning/README.md) in [Triki za treniranje](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md)             |           [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb)             | [Laboratorij](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
+| 09  |            [Avtoenkoderji in VAE-ji](./lessons/4-ComputerVision/09-Autoencoders/README.md)             |           [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb)             |  |
+| 10  |            [Generativne sovražne mreže in prenos umetniškega sloga](./lessons/4-ComputerVision/10-GANs/README.md)             |           [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb)             |  |
+| 11  |            [Zaznavanje predmetov](./lessons/4-ComputerVision/11-ObjectDetection/README.md)             |         [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb)             | [Laboratorij](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
 | 12  |            [Semantična segmentacija. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md)             |           [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb)             |  |
-| V  |            [**Obdelava naravnega jezika**](./lessons/5-NLP/README.md)             | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Raziščite obdelavo naravnega jezika na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
+| V  |            [**Obdelava naravnega jezika**](./lessons/5-NLP/README.md)             | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Razišči obdelavo naravnega jezika na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
 | 13  |            [Predstavitev besedila. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb)             | |
-| 14  |            [Semantične vektorske predstavitve besed. Word2Vec in GloVe](./lessons/5-NLP/14-Embeddings/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb)             |  |
-| 15  |            [Jezikovno modeliranje. Učenje lastnih vektorskih predstavitev](./lessons/5-NLP/15-LanguageModeling/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb)             | [Laboratorij](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
+| 14  |            [Semantične vgradnje besed. Word2Vec in GloVe](./lessons/5-NLP/14-Embeddings/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb)             |  |
+| 15  |            [Modeliranje jezika. Treniraš svoje vgradnje](./lessons/5-NLP/15-LanguageModeling/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb)             | [Laboratorij](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
 | 16  |            [Rekurentne nevronske mreže](./lessons/5-NLP/16-RNN/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb)             |  |
 | 17  |            [Generativne rekurentne mreže](./lessons/5-NLP/17-GenerativeNetworks/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb)             | [Laboratorij](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
-| 18  |            [Transformatorji. BERT.](./lessons/5-NLP/18-Transformers/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb)             |  |
+| 18  |            [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md)             |           [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb)             |  |
 | 19  |            [Prepoznavanje imenovanih entitet](./lessons/5-NLP/19-NER/README.md)             |           [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb)             | [Laboratorij](./lessons/5-NLP/19-NER/lab/README.md) |
-| 20  |            [Veliki jezikovni modeli, programiranje pozivov in naloge z malo primeri](./lessons/5-NLP/20-LangModels/README.md)             |           [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
-| VI |            **Druge AI tehnike** || |
+| 20  |            [Veliki jezikovni modeli, programiranje pozivov in opravila z malo podatki](./lessons/5-NLP/20-LangModels/README.md)             |           [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
+| VI |            **Drugi tehniški pristopi v umetni inteligenci** || |
 | 21  |            [Genetski algoritmi](./lessons/6-Other/21-GeneticAlgorithms/README.md)             |           [Zvezek](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
-| 22  |            [Globoko okrepitveno učenje](./lessons/6-Other/22-DeepRL/README.md)             |           [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb)             | [Laboratorij](./lessons/6-Other/22-DeepRL/lab/README.md) |
+| 22  |            [Globoko okrepljeno učenje](./lessons/6-Other/22-DeepRL/README.md)             |           [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb)             | [Laboratorij](./lessons/6-Other/22-DeepRL/lab/README.md) |
 | 23  |            [Sistemi z več agenti](./lessons/6-Other/23-MultiagentSystems/README.md)             |  | |
 | VII |            **Etika umetne inteligence** | | |
-| 24  |            [Etika umetne inteligence in odgovorna AI](./lessons/7-Ethics/README.md)             |           [Microsoft Learn: Principi odgovorne AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
+| 24  |            [Etika umetne inteligence in odgovorna umetna inteligenca](./lessons/7-Ethics/README.md)             |           [Microsoft Learn: Načela odgovorne umetne inteligence](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
 | IX  |            **Dodatki** | | |
-| 25  |            [Večmodalne mreže, CLIP in VQGAN](./lessons/X-Extras/X1-MultiModal/README.md)             |           [Zvezek](./lessons/X-Extras/X1-MultiModal/Clip.ipynb)    | |
+| 25  |            [Mreže z več modalnostmi, CLIP in VQGAN](./lessons/X-Extras/X1-MultiModal/README.md)             |           [Zvezek](./lessons/X-Extras/X1-MultiModal/Clip.ipynb)    | |

 ## Vsaka lekcija vsebuje
-* Material za predhodno branje
-* Izvedljivi Jupyter zvezki, ki so pogosto specifični za okvir (**PyTorch** ali **TensorFlow**). Izvedljivi zvezek vsebuje tudi veliko teoretičnega gradiva, zato morate za razumevanje teme preiti skozi vsaj eno različico zvezka (bodisi PyTorch ali TensorFlow).
-* **Laboratoriji** na voljo za nekatere teme, ki vam omogočajo, da poskusite uporabiti naučeno gradivo na določen problem.
-* Nekateri oddelki vsebujejo povezave do modulov [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), ki pokrivajo sorodne teme.
+* Gradivo za predhodno branje
+* Izvedljivi Jupyter zvezki, ki so pogosto specifični za okvir (**PyTorch** ali **TensorFlow**). Izvedljivi zvezek vsebuje tudi veliko teoretičnega gradiva, zato morate, da bi razumeli temo, prebrati vsaj eno različico zvezka (bodisi PyTorch ali TensorFlow).
+* **Laboratorijske vaje** za nekatere teme, ki vam omogočajo, da preizkusite uporabo naučenega gradiva na določen problem.
+* Nekateri razdelki vsebujejo povezave do modulov [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), ki obravnavajo sorodne teme.

 ## Začetek

 ### 🎯 Nov v AI? Začni tukaj!

-Če ste popoln začetnik v AI in želite hitre, praktične primere, si oglejte naše [**Primeri za začetnike**](./examples/README.md)! Ti vključujejo:
+Če ste povsem novi v AI in želite hitre, praktične primere, si oglejte naše [**Primere za začetnike**](./examples/README.md)! Ti vključujejo:

- 🌟 **Pozdravljen svet AI** - Vaš prvi AI program (prepoznavanje vzorcev)
+- 🌟 **Pozdravljen AI svet** - Vaš prvi AI program (prepoznavanje vzorcev)
 - 🧠 **Preprosta nevronska mreža** - Zgradite nevronsko mrežo iz nič  
- 🖼️ **Razvrščevalec slik** - Razvrščajte slike z podrobnimi komentarji
- 💬 **Čustvena analiza besedila** - Analizirajte pozitivno/negativno besedilo
+- 🖼️ **Klasifikator slik** - Klasificirajte slike z podrobnimi komentarji
+- 💬 **Čustvena analiza besedil** - Analizirajte pozitivna/negativna besedila

-Ti primeri so zasnovani tako, da vam pomagajo razumeti koncepte AI, preden se lotite celotnega učnega načrta.
+Ti primeri so zasnovani, da vam pomagajo razumeti pojme AI, preden se poglobite v celoten kurikulum.

-### 📚 Celotna nastavitev učnega načrta
+### 📚 Celotna namestitev kurikuluma

- Ustvarili smo [lekcijo o nastavitvi](./lessons/0-course-setup/setup.md), ki vam pomaga pri nastavitvi razvojnega okolja. - Za učitelje smo prav tako ustvarili [lekcijo o nastavitvi učnih načrtov](./lessons/0-course-setup/for-teachers.md)!
- Kako [pognati kodo v VSCode ali Codespace](./lessons/0-course-setup/how-to-run.md)
+- Pripravili smo [lekcijo za nastavitev](./lessons/0-course-setup/setup.md), ki vam pomaga pri nastavitvi razvojnega okolja. - Za učitelje smo pripravili tudi [lekcijo za nastavitev kurikuluma](./lessons/0-course-setup/for-teachers.md)!
+- Kako [zaženete kodo v VSCode ali Codespace](./lessons/0-course-setup/how-to-run.md)

 Sledite tem korakom:

-Razvejite skladišče: Kliknite na gumb "Fork" zgoraj desno na tej strani.
+Razvejite repozitorij: Kliknite gumb "Fork" v zgornjem desnem kotu te strani.

-Klonirajte skladišče: `git clone https://github.com/microsoft/AI-For-Beginners.git`
+Klonirajte repozitorij: `git clone https://github.com/microsoft/AI-For-Beginners.git`

-Ne pozabite zvezdico (🌟) dodati temu repozitoriju, da ga boste lažje našli pozneje.
+Ne pozabite dati zvezdice (🌟) temu repozitoriju, da ga boste lažje našli pozneje.

-## Spoznajte druge udeležence
+## Spoznajte druge učence

-Pridružite se našemu [uradnemu AI Discord strežniku](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), da spoznate in se povežete z drugimi, ki obiskujejo tečaj, ter pridobite podporo.
+Pridružite se našemu [uradnemu AI Discord strežniku](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), da spoznate in se povežete z drugimi učenci tega tečaja ter pridobite podporo.

-Če imate povratne informacije o izdelku ali vprašanja med gradnjo, obiščite naš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
+Če imate povratne informacije o izdelku ali vprašanja med razvojem, obiščite naš [Azure AI Foundry Developerski forum](https://aka.ms/foundry/forum).

 ## Kvizi

-> **Opomba o kvizih**: Vsi kvizi so shranjeni v mapi Quiz-app v etc\quiz-app ali [spletno tukaj](https://ff-quizzes.netlify.app/). Povezani so iz lekcij. Kviz aplikacijo lahko zaženete lokalno ali pa jo namestite v Azure – sledite navodilom v mapi `quiz-app`. Postopoma so lokalizirani.
+> **Opomba o kvizih**: Vsi kvizi so v mapi Quiz-app na poti etc\quiz-app ali [na spletu tukaj](https://ff-quizzes.netlify.app/). Povezani so iz lekcij, aplikacijo za kvize lahko zaženete lokalno ali namestite na Azure; sledite navodilom v mapi `quiz-app`. Postopoma jih lokaliziramo.

-## Iščemo pomoč
+## Potrebna pomoč

-Imate predloge ali ste našli pravopisne ali kode napake? Odprite težavo ali ustvarite pull zahtevo.
+Imate predloge ali ste našli pravopisne ali kodne napake? Pojasnite težavo ali ustvarite pull request.

-## Posebne zahvale
+## Posebna zahvala

-* **✍️ Glavni avtor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
-* **🔥 Urednik:** [Jen Looper](https://twitter.com/jenlooper), PhD
-* **🎨 Ilustratorka skic:** [Tomomi Imura](https://twitter.com/girlie_mac)
+* **✍️ Glavni avtor:** [Dmitry Soshnikov](http://soshnikov.com), mag. znanosti
+* **🔥 Urednik:** [Jen Looper](https://twitter.com/jenlooper), mag. znanosti
+* **🎨 Ilustrator skic:** [Tomomi Imura](https://twitter.com/girlie_mac)
 * **✅ Ustvarjalec kvizov:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
 * **🙏 Glavni sodelavci:** [Evgenii Pishchik](https://github.com/Pe4enIks)

-## Drugi učni načrti
+## Drugi kurikulumi

-Naša ekipa ustvarja še druge učne načrte! Oglejte si:
+Naša ekipa pripravlja tudi druge kurikulume! Oglejte si:

 <!-- CO-OP TRANSLATOR OTHER COURSES START -->
 ### LangChain
@ -181,15 +181,15 @@ Naša ekipa ustvarja še druge učne načrte! Oglejte si:
 [![LangChain za začetnike](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin)
 ---

-### Azure / Edge / MCP / Agenti
+### Azure / Edge / MCP / Agent
 [![AZD za začetnike](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Edge AI za začetnike](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![MCP za začetnike](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
-[![Agenti AI za začetnike](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![AI Agenti za začetnike](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)

 ---
 
-### Serija Generativne AI
+### Serija generativne AI
 [![Generativna AI za začetnike](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
 [![Generativna AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
 [![Generativna AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
@ -198,29 +198,29 @@ Naša ekipa ustvarja še druge učne načrte! Oglejte si:
 ---
 
 ### Osnovno učenje
-[![Strojno učenje za začetnike](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
+[![ML za začetnike](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
 [![Podatkovna znanost za začetnike](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
 [![AI za začetnike](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
 [![Kibernetska varnost za začetnike](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
-[![Razvoj spletnih strani za začetnike](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
+[![Spletni razvoj za začetnike](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
 [![IoT za začetnike](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
-[![Razvoj XR za začetnike](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
+[![XR razvoj za začetnike](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)

 ---
 
 ### Serija Copilot
-[![Copilot za AI združeno programiranje](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
+[![Copilot za AI partnersko programiranje](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
 [![Copilot za C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
-[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
+[![Copilot avantura](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
 <!-- CO-OP TRANSLATOR OTHER COURSES END -->

-## Pomoc
+## Pridobivanje pomoči

-Če zataknete ali imate kakršna koli vprašanja glede izgradnje AI aplikacij, se pridružite ostalim učencem in izkušenim razvijalcem v razpravah o MCP. To je podporna skupnost, kjer so vprašanja dobrodošla in se znanje prosto deli.
+Če se zataknete ali imate vprašanja o izdelavi AI aplikacij, se pridružite drugim učencem in izkušenim razvijalcem v razpravah o MCP. Je podporna skupnost, kjer so vprašanja dobrodošla in se znanje prosto deli.

 [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)

-Če imate povratne informacije o izdelku ali napake med gradnjo, obiščite:
+Če imate povratne informacije o izdelku ali napake med razvojem, obiščite:

 [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)

@ -228,5 +228,5 @@ Naša ekipa ustvarja še druge učne načrte! Oglejte si:

 <!-- CO-OP TRANSLATOR DISCLAIMER START -->
 **Omejitev odgovornosti**:  
-Ta dokument je bil preveden z uporabo storitve za avtomatski prevod [Co-op Translator](https://github.com/Azure/co-op-translator). Čeprav si prizadevamo za točnost, vas prosimo, da upoštevate, da lahko avtomatski prevodi vsebujejo napake ali netočnosti. Izvirni dokument v maternem jeziku velja za avtoritativni vir. Za kritične informacije je priporočljiv strokovni prevod, ki ga opravi človek. Ne odgovarjamo za morebitna nesporazume ali napačne interpretacije, ki izhajajo iz uporabe tega prevoda.
+Ta dokument je bil preveden z uporabo AI prevajalske storitve [Co-op Translator](https://github.com/Azure/co-op-translator). Čeprav si prizadevamo za natančnost, upoštevajte, da avtomatizirani prevodi lahko vsebujejo napake ali netočnosti. Izvirni dokument v svojem izvirnem jeziku naj se šteje kot avtoritativni vir. Za kritične informacije priporočamo strokovni človeški prevod. Nismo odgovorni za morebitna nesporazumevanja ali napačne interpretacije, ki izhajajo iz uporabe tega prevoda.
 <!-- CO-OP TRANSLATOR DISCLAIMER END -->