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[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
# Umjetna Inteligencija za Početnike - Nastavni Plan
# Umjetna inteligencija za početnike - Nastavni plan i program
|![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)_ |
| AI za početnike - _Sketchnote od [@girlie_mac](https://twitter.com/girlie_mac)_ |
Istražite svijet **Umjetne Inteligencije** (UI) uz naš 12-tjedni program s 24 lekcije! Uključuje praktične lekcije, kvizove i laboratorijske vježbe. Nastavni plan je prilagođen početnicima i pokriva alate poput TensorFlow i PyTorch, kao i etiku u UI
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
### 🌐 Podrška za Više Jezika
### 🌐 Podrška za više jezika
#### Podržano putem GitHub Action (Automatski i Uvijek Ažurirano)
#### Podržano putem GitHub akcije (Automatski i uvijek ažurirano)
<!-- 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)
> **Radije Klonirati Lokalno?**
> Ovaj repozitorij uključuje 50+ prijevoda jezika što značajno povećava veličinu preuzimanja. Za kloniranje bez prijevoda, koristite sparse checkout:
> **Preferirate li lokalnu kloniranje?**
>
> Ovaj repozitorij uključuje 50+ prijevoda jezika što značajno povećava veličinu preuzimanja. Za kloniranje bez prijevoda koristite sparse checkout:
>
> **Bash / macOS / Linux:**
> ```bash
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
> cd AI-For-Beginners
> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
> ```
> Ovo vam daje sve što je potrebno za završetak tečaja s mnogo bržim preuzimanjem.
>
> **CMD (Windows):**
> ```cmd
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
> cd AI-For-Beginners
> git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
> ```
>
> Ovo vam daje sve što je potrebno da završite tečaj uz znatno brže preuzimanje.
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
**Ako želite da se podrže dodatni jezici prijevoda, oni su navedeni [ovdje](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
**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)**
## Pridružite se Zajednici
## Pridružite se zajednici
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
## Što ćete naučiti
**[Mindmap tečaja](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
U ovom nastavnom programu naučit ćete:
U ovom nastavnom planu i programu naučit ćete:
* Različite pristupe umjetnoj inteligenciji, uključujući "dobri stari" simbolički pristup sa **predstavljanjem znanja** i zaključivanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
* **Neuronske mreže** i **duboko učenje**, koje su u srži moderne UI. Koncepte ovih važnih tema ćemo ilustrirati koristeći kod u dva najpopularnija okvira - [TensorFlow](http://Tensorflow.org) i [PyTorch](http://pytorch.org).
* **Neuronske arhitekture** za rad sa slikama i tekstom. Pokrit ćemo nedavne modele, ali možda ćemo biti nešto slabiji u stanju umjetnosti.
* Manje popularne pristupe UI, kao što su **genetski algoritmi** i **sustavi s više agenata**.
* 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**.
Šta nećemo pokrivati u ovom nastavnom programu:
Što nećemo pokriti u ovom nastavnom planu i programu:
> [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)
* Poslovni slučajevi korištenja **UI u poslovanju**. Razmotrite pohađanje [Uvod u UI za poslovne korisnike](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) puteva učenja 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 strojarstvo učenja**, koje je dobro opisano u našem [Nastavnom planu strojarskog učenja za početnike](http://github.com/Microsoft/ML-for-Beginners).
* Praktične AI aplikacije izrađene koristeći **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za to preporučujemo da započnete s modulima Microsoft Learn za [viziju](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 umjetnu inteligenciju s Azure OpenAI servisom](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** i druge.
* Specifične ML **Cloud Framework**-ove, kao što su [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 [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) i [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) puteva učenja.
* **Konverzacijska UI** i **Chat Botovi**. Postoji zasebni [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) put učenja, a možete također pogledati [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 [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autora Iana Goodfellowa, Yoshue Bengioa i Aarona Courvillea, koji je također dostupan online na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
* 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/).
Za blagi uvod u teme _UI u oblaku_ možda biste razmotrili i pohađanje [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) puta učenja.
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.
# Sadržaj
| | Link Lekcije | PyTorch/Keras/TensorFlow | Laboratorij |
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | -------------------------------------------------------- |
| 0 | [Postavljanje Tečaja](./lessons/0-course-setup/setup.md) | [Postavite Vaše Razvojno Okruženje](./lessons/0-course-setup/how-to-run.md) | |
| I | [**Uvod u UI**](./lessons/1-Intro/README.md) | | |
| 01 | [Uvod i Povijest UI](./lessons/1-Intro/README.md) | - | - |
| II | **Simbolička UI** |
| 02 | [Predstavljanje Znanja i Ekspertni Sustavi](./lessons/2-Symbolic/README.md) | [Ekspertni Sustavi](./lessons/2-Symbolic/Animals.ipynb) / [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptualni Graf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| III | [**Uvod u neuronske mreže**](./lessons/3-NeuralNetworks/README.md) |||
| | Poveznica na lekciju | PyTorch/Keras/TensorFlow | Laboratorij |
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
| 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) |||
| 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 izrada 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 prekomjerno učenje](./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) & [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 | [Unaprijed naučene mreže i prijenosno učenje](./lessons/4-ComputerVision/08-TransferLearning/README.md) i [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 | [Automatski koderi i 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 | [Generativne adversarijalne mreže i umjetnički prijenos 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 | [Semantičke vektorske reprezentacije 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 vektorskih reprezentacija](./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) |
| 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) |
| 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) |
| 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 zadaci s malo primjera](./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 potkrepljeno](./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 | **Etika umjetne inteligencije** | | |
| 24 | [Etika umjetne inteligencije i odgovorna umjetna inteligencija](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principi odgovorne umjetne inteligencije](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX | **Dodatci** | | |
| 25 | [Višemodalne mreže, 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, 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) | |
## Svaka lekcija sadrži
* Materijal za predčitanje
* Izvršne Jupyter bilježnice, koje su često specifične za okvir (**PyTorch** ili **TensorFlow**). Izvršna bilježnica također sadrži mnogo teorijskog materijala, pa kako biste razumjeli temu, potrebno je proći barem jednu verziju bilježnice (bilo PyTorch ili TensorFlow).
* **Laboratorije** dostupne za neke teme, koje vam daju priliku da pokušate primijeniti naučeno na konkretan problem.
* 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.
* 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 rada
## Početak
### 🎯 Novi u AI? Započni ovdje!
### 🎯 Novi u AI? Počnite ovdje!
Ako ste potpuno novi u umjetnoj inteligenciji i želite brze, praktične primjere, pogledajte naše [**Primjere prilagođene početnicima**](./examples/README.md)! Oni uključuju:
- 🌟 **Pozdrav svijete AI** - Vaš prvi AI program (prepoznavanje uzoraka)
- 🧠 **Jednostavna neuronska mreža** - Izgradnja neuronske mreže ispočetka
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
- 🖼️ **Klasifikator slika** - Klasificirajte slike s detaljnim komentarima
- 💬 **Sentiment teksta** - Analizirajte pozitivan/negativan tekst
Ovi primjeri su dizajnirani da vam pomognu razumjeti AI koncepte prije nego što započnete s cjelokupnim kurikulumom.
Ovi primjeri su osmišljeni kako bi vam pomogli razumjeti AI koncepte prije nego što zaronite u puni kurikulum.
### 📚 Postavljanje cjelokupnog kurikuluma
### 📚 Postavljanje cijelog kurikuluma
- Kreirali smo [lekciju za postavljanje](./lessons/0-course-setup/setup.md) kako bismo vam pomogli s postavljanjem razvojne okoline. - Za nastavnike smo također kreirali [lekciju za postavljanje kurikuluma](./lessons/0-course-setup/for-teachers.md)!
- 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)
Slijedite ove korake:
Forkajte repozitorij: Kliknite na gumb "Fork" u gornjem desnom kutu ove stranice.
Forkajte spremište: Kliknite na gumb "Fork" u gornjem desnom kutu ove stranice.
Klonirajte repozitorij: `git clone https://github.com/microsoft/AI-For-Beginners.git`
Klonirajte spremište: `git clone https://github.com/microsoft/AI-For-Beginners.git`
Ne zaboravite dodati zvjezdicu (🌟) ovom repozitoriju da biste ga lakše pronašli kasnije.
Ne zaboravite označiti (🌟) ovaj repo da biste ga lakše pronašli kasnije.
## 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 umrežili 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) kako biste upoznali i povezali se s drugim polaznicima ovog tečaja i dobili 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 o proizvodu ili pitanja tijekom izrade, posjetite naš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
## Kvizovi
## Kvizevi
> **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 same lekcije, a aplikaciju za kvizove možete pokretati lokalno ili implementirati na Azure; slijedite upute u mapi `quiz-app`. Kvizovi se postupno lokaliziraju.
> **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.
## Potreban je pomoć
## Tražimo pomoć
Imate li prijedloge ili ste pronašli pravopisne ili programske pogreške? Otvorite issue ili napravite pull request.
Imate prijedloge ili ste pronašli pravopisne ili programske pogreške? Podignite pitanje ili napravite pull zahtjev.
## Posebna zahvala
## Posebne zahvale
* **✍️ Glavni autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
* **🔥 Urednik:** [Jen Looper](https://twitter.com/jenlooper), PhD
* **🎨 Ilustrator sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ Kreator kviza:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **✍️ Glavni autor:** [Dmitry Soshnikov](http://soshnikov.com), dr. sc.
* **🔥 Urednik:** [Jen Looper](https://twitter.com/jenlooper), dr. sc.
* **🎨 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
@ -174,7 +183,7 @@ Naš tim proizvodi i druge kurikulume! Pogledajte:
[![LangChain for Beginners](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 / Agents
### Azure / Edge / MCP / Agenti
[![AZD for Beginners](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 for Beginners](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 for Beginners](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)
@ -182,7 +191,7 @@ Naš tim proizvodi i druge kurikulume! Pogledajte:
---
### Serija Generative AI
### Serija Generativne 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)
@ -201,7 +210,7 @@ Naš tim proizvodi i druge kurikulume! Pogledajte:
---
### Copilot serija
### 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)
[![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)
@ -209,7 +218,7 @@ Naš tim proizvodi i druge kurikulume! Pogledajte:
## Dobivanje pomoći
Ako zapnete ili imate pitanja u vezi izrade AI aplikacija. Pridružite se drugim polaznicima i iskusnim programerima u raspravama o MCP-u. To je podržavajuća zajednica gdje su pitanja dobrodošla i znanje se slobodno dijeli.
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.
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
@ -220,6 +229,6 @@ Ako imate povratne informacije o proizvodu ili pogreške tijekom izrade, posjeti
---
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
**Napomena**:
Ovaj dokument preveden je pomoću AI prevoditeljske usluge [Co-op Translator](https://github.com/Azure/co-op-translator). Iako nastojimo osigurati točnost, molimo imajte na umu da automatski prijevodi mogu sadržavati pogreške ili netočnosti. Izvorni dokument na njegovom izvornom jeziku smatra se službenim izvorom. Za kritične informacije preporuča se profesionalni ljudski prijevod. Ne snosimo odgovornost za bilo kakva nesporazuma ili pogrešna tumačenja nastala korištenjem ovog prijevoda.
**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.
<!-- CO-OP TRANSLATOR DISCLAIMER END -->

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translations/hr/lessons/2-Symbolic/MSConceptGraph.ipynb
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translations/my/.co-op-translator.json
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@ -6,8 +6,8 @@
"language_code": "my"
},
"README.md": {
"original_hash": "75fe3383afc51eaa84b82ace619ffea7",
"translation_date": "2026-02-06T09:18:20+00:00",
"original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
"translation_date": "2026-02-28T10:08:26+00:00",
"source_file": "README.md",
"language_code": "my"
},
@ -89,6 +89,12 @@
"source_file": "lessons/1-Intro/assignment.md",
"language_code": "my"
},
"lessons/2-Symbolic/MSConceptGraph.ipynb": {
"original_hash": "e5690bbc6e5119a96a8172ec7261db67",
"translation_date": "2026-02-28T10:03:21+00:00",
"source_file": "lessons/2-Symbolic/MSConceptGraph.ipynb",
"language_code": "my"
},
"lessons/2-Symbolic/README.md": {
"original_hash": "f9f06b266b8b2bfc6b8792ff2bb1bea4",
"translation_date": "2026-01-16T06:18:19+00:00",

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@ -12,160 +12,168 @@
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
# ကလေ့လာသူများအတွက် အနှစ်သာရ ဒစ်ဂျစ်တယ် ဉာဏ်ရည်
# ကလိပ်တစ်လုံးအတွက် အတုယူမှုသင်တန်း - သင်ခန်းစာအစီအစဉ်
|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)|
|:---:|
| ကလေ့လာသူများအတွက် အနှစ်သာရ ဒစ်ဂျစ်တယ် ဉာဏ်ရည် - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
**အတတ်ပညာရေး သင်တန်း၊ စကယ်တင် ၂၄ ခန်းခွဲ၊ ၁၂ ပတ်ကြာသည့် အစီအစဉ်**ဖြင့် **အတုယူသော ဉာဏ်ရည်** (AI) ၏ ကမ္ဘာကြီးကို ရှာဖွေလေ့လာပါ! ၎င်းတွင် လက်တွေ့သင်ခန်းစာများ၊ စစ်ဆေးမှုများ နှင့် လက်တွေ့လေ့ကျင့်ခန်းများ ပါဝင်ပါသည်။ သင်တန်းအစီအစဉ်သည် စတင်သူများအတွက် သင့်လျော်ပြီး TensorFlow နှင့် PyTorch ကဲ့သို့သော တူတူ ပရိုဂရမ်များကိုပါ ပါဝင်သည်၊ ထို့အပြင် AI အတွင်း ပြည့်ပေးသည့် တရားထောင်ရေးကဏ္ဍများပါ ပါဝင်သည်။
**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။
### 🌐 ဘာသာစကားစုံ ထောက်ပံ့မှု
### 🌐 ဘာသာစကားစုံထောက်ပံ့မှု
#### GitHub Action ဖြင့် ထောက်ပံ့ထားသည် ( အလိုအလျောက် နှင့် အမြဲ အသစ်)
#### GitHub Action မှတဆင့် ထောက်ပံ့သည်(အလိုအလျောက်နှင့် အမြဲတမ်း နောက်ဆုံးပေါ်)
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
[အာရဗီ](../ar/README.md) | [ဘင်္ဂလီ](../bn/README.md) | [ဘူလ်ဂေးရီးယား](../bg/README.md) | [မြန်မာ (Myanmar)](./README.md) | [တရုတ် (ရိုးရှင်း)](../zh-CN/README.md) | [တရုတ် (ရိုးရာ၊ ဟောင်ကောင်)](../zh-HK/README.md) | [တရုတ် (ရိုးရာ၊ မာကောင်)](../zh-MO/README.md) | [တရုတ် (ရိုးရာ၊ ထိုင်ဝမ်)](../zh-TW/README.md) | [ခရိုအေးရှီးယား](../hr/README.md) | [ချက်](../cs/README.md) | [ဒိန်မတ်](../da/README.md) | [ဒတ်ချ်](../nl/README.md) | [အက်စတိုးနီးယား](../et/README.md) | [ဖင်နီရှ်](../fi/README.md) | [ပြင်သစ်](../fr/README.md) | [ဂျာမန်](../de/README.md) | [ဂရိ](../el/README.md) | [ဟီဘရူး](../he/README.md) | [ဟိंदी](../hi/README.md) | [ဟန်ဂါရီ](../hu/README.md) | [အင်ဒိုနီးရှား](../id/README.md) | [အီတလီ](../it/README.md) | [ဂျပန်](../ja/README.md) | [ကန်နာဒါ](../kn/README.md) | [ကိုရီးယား](../ko/README.md) | [လီကျူၤနီးယား](../lt/README.md) | [မလေး](../ms/README.md) | [မလေးလမ်](../ml/README.md) | [မရာသီး](../mr/README.md) | [နီပေါလိ](../ne/README.md) | [နိုင်းဂျီးရီးယား ပစ်ဂင်](../pcm/README.md) | [နော်ဝေး](../no/README.md) | [ပါရှင်း (ဖာစီ)](../fa/README.md) | [ပိုလန်](../pl/README.md) | [ပေါ်တူဂီ (ဘရာဇီးလ်)](../pt-BR/README.md) | [ပေါ်တူဂီ (ပေါ်တူဂီ)](../pt-PT/README.md) | [ပန်ဂျာဘီ (ဂူရ်မူခီ)](../pa/README.md) | [ဆိုမေးနီးယား](../ro/README.md) | [ရုရှား](../ru/README.md) | [ဆာဘီးယား (စိရီလစ်)](../sr/README.md) | [ဆိုဗက်](../sk/README.md) | [ဆိုဗေးနီးယား](../sl/README.md) | [စပိန်](../es/README.md) | [ဆွာဟီလီ](../sw/README.md) | [ဆွီဒင်](../sv/README.md) | [တဂါလို (ဖီလစ်ပိုင်)](../tl/README.md) | [တမီး](../ta/README.md) | [တယ်လူဂူ](../te/README.md) | [ထိုင်း](../th/README.md) | [တာကီး](../tr/README.md) | [ယူကရိန်း](../uk/README.md) | [ဥရဒူး](../ur/README.md) | [ဗီယက်နမ်](../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) | [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)
> **ဒေသန္တရ အဖြစ် တိုက်ရိုက် Clone လုပ်ရန် မျှော်လင့်ပါသလား?**
> ဒီ repository တွင်ဘာသာစကား ၅၀ ကျော် ပါဝင်ပြီး ဒေါင်းလုပ် အရွယ်အစားကို များစေသည်။ ဘာသာပြန်ချက်များ မပါဝင်ဘဲ မတင်ချင်လျှင် sparse checkout ကို သုံးပါ:
> **ဒေသတွင်းကွန်ပျူတာမှာ ကလုန်းလုပ်ချင်ပါသလား?**
>
> ဤ repository တွင် 50+ ဘာသာစကားဘာသာပြန်ဆိုမှုများပါဝင်သဖြင့် ဒေါင်းလုပ်အရွယ်အစားကို ထိရောက်စွာတိုးမြှင့်သည်။ ဘာသာပြန်ချက်များမပါဘဲ ကလုန်းလုပ်လိုပါက sparse checkout ကို အသုံးပြုပါ။
>
> **Bash / macOS / Linux:**
> ```bash
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
> cd AI-For-Beginners
> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
> ```
> သင့်အား သင်တန်းကုတ်ကို အချိန်အတိုင်းအတာမှန်ကန်စွာ ပြီးမြောက်မှုမှာ အလျင်မြန်စေပါသည်။
>
> **CMD (Windows):**
> ```cmd
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
> cd AI-For-Beginners
> git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
> ```
>
> ၎င်းက သင်သင်ကြားမှုကို ပြီးမြောက်စေဖို့ လိုအပ်သမျှ အရာအားလုံးကို ပိုမိုလျင်မြန်စွာ ဒေါင်းလုပ်လုပ်နိုင်စေပါတယ်။
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
**ထပ်မံလိုအပ်သော ဘာသာစကားများထောက်ပံ့နိုင်ရန် ကြိုးစားသင့်ပါက [ဒီနေရာမှာ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) ကြည့်ရှုနိုင်ပါသည်။**
**ထပ်မံသောဘာသာပြန်ချက်များလိုအပ်ပါက [ဒီနေရာမှာ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) တွင် ပါရှိသော်လည်း လမ်းညွှန်ချက်များ ရှိပါသည်။**
## အသိုင်းအဝိုင်း၌ ပါဝင်ရန်
## အသိုင်းအဝိုင်းတွင် ပါဝင်ပါ
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
## သင်ယူလေ့လာရမည့်အရာများ
## သင်ယူမယ့်အကြောင်းအရာများ
**[သင်တန်း၏ စိတ်ဓာတ်မြေပုံ](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
**[သင်တန်းကြီး လမ်းညွှန်မြေပုံ](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
ဤသင်တန်းအစီအစဉ်တွင် သင်လေ့လာမည့်အရာများမှာ-
ဤ သင်တန်းအစီအစဉ်တွင် သင် တက်ရောက်သင်ယူမည့်အရာများမှာ-
* အတုယူသော ဉာဏ်ရည်၏ အမျိုးမျိုးနည်းလမ်းများ၊ အထူးသဖြင့် **နေရာထားမှုအသိပညာ** (Knowledge Representation) နှင့် သဘောတရားစဉ်းစားခြင်း ပါဝင်သော ရိုးရာ သင်္ကေတနည်းလမ်း ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))။
* ခေတ်မှီ AI ၏ အခြေခံဖြစ်သည့် **အကြောင်းအရာကွန်ရက်များ**နှင့် **နက်ရှိုင်းသင်ကြားခြင်း**။ TensorFlow နှင့် PyTorch တို့ဖြင့် အဓိကသဘောများကို ကုဒ်ဖြင့် ဖော်ပြပါမည်။
* ပုံရိပ်များနှင့် စာသားများနှင့် လုပ်ကိုင်နိုင်သော **နက်ရှိုင်းဖွဲ့စည်းတည်ဆောက်ပုံများ**။ နောက်ဆုံးပေါ် ပုံစံများကို အကျဉ်းတင်ဖြစ်စေသော်လည်း နည်းနည်း အားနည်းနိုင်ပါသည်။
* နည်းနည်း နာမည်မကြီးသော AI နည်းလမ်းများ၊ ဥပမာ **ဂျီနက်ဆစ် အယ်လဂို့ရီသမ်များ**နှင့် **အများ Agent System များ**။
* 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**။
ဤသင်တန်းနောက် ထည့်မည်မဟုတ်သော အရာများ-
ဤ သင်တန်းအစီအစဉ်တွင် မဖုံးလွှမ်းမည့်အရာများမှာ-
> [Microsoft Learn တွင် ဤသင်တန်း၏ ထပ်ဆောင်းအရင်းအမြစ်များအားလုံးကို ရှာဖွေပါ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
> [ဤသင်တန်းအတွက် ထပ်မံလိုအပ်သော ရင်းမြစ်များအားလုံးကို ကျွန်ုပ်တို့၏ Microsoft Learn စုစည်းမှုတွင် ရှာဖွေပါ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
* **စီးပွားရေးလုပ်ငန်းတွင် AI အသုံးပြုမှု** ၏ စီးပွားရေးကိစ္စများ။ Microsoft Learn တွင် [စီးပွားရေးအသုံးပြုသူများအတွက် AI မိတ်ဆက်](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) သင်တန်းလမ်းကြောင်း သို့မဟုတ် [AI စီးပွားရေးသင်တန်းခန်းမ](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) ကို ကြည့်ရှုပါ။
* **နာမည်အများဆုံး စက်သင်ယူမှု**၊ ၎င်းအား [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) တွင် ပြည့်စုံစွာ ဖော်ပြထားသည်။
* Practical AI အကောင်အထည်ဖော်မှုများတည်ဆောက်ရာတွင် **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** အသုံးပြုခြင်း။ ဤအတွက် vision, natural language processing နှင့် **[Azure OpenAI Service နှင့် Generative AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** တို့အတွက် Microsoft Learn ၏ modules များထဲမှ စတင်သင့်သည်။
* အထူးပြု 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) များ။ [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) နှင့် [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) သင်တန်းလမ်းကြောင်းများကို အသုံးပြုရန် အကြံပြုသည်။
* **စကားပြော AI** နှင့် **Chat Bot** များ။ ဆွေးနွေးစကားပုံ AI ဖြေရှင်းချက်ဖန်တီးခြင်းအတွက် သီးသန့် [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) သင်တန်းလမ်းကြောင်းရှိပြီး၊ အသေးစိတ် သိရှိလိုလျှင် [ဒီ ဘလော့ဂ်](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ကိုလည်း ဖတ်ရှုနိုင်ပါသည်။
* နက်ရှိုင်းသင်ကြားမှုအတွက် အခြေခံ **ဂဏန်းသိပ္ပံ**။ ဤအတွက် Ian Goodfellow, Yoshua Bengio နှင့် Aaron Courville ရေးသားသော [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) စာအုပ်ကို အကြံပြုလိုက်ပါသည်၊ အွန်လိုင်းတွင်လည်း [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) မှာ ရရှိနိုင်ပါသည်။
* 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/)။
_Cloud အတွင်း AI_ ကို ချိုချိုမြိန်မြိန် နားလည်ချင်သူများအတွက် [Azure တွင် artificial intelligence ကို စတင်လေ့လာရန်](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) သင်တန်းလမ်းကြောင်းကို သီးသန့်သုံးသင့်ပါသည်။
_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။
# အကြောင်းအရာ
# အကြောင်းအရာများ
| | သင်ခန်းစာ ချိတ်ဆက်မှု | PyTorch/Keras/TensorFlow | လက်တွေ့လေ့ကျင့်ခန်း |
| | Lesson Link | PyTorch/Keras/TensorFlow | Lab |
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
| 0 | [သင်တန်း စတင်မည့် နည်းလမ်း](./lessons/0-course-setup/setup.md) | [သင့် ရေးရာ ဖွံ့ဖြိုးရေးပတ်ဝန်းကျင် ကို စတင်ဖွင့်ပါ](./lessons/0-course-setup/how-to-run.md) | |
| I | [**AI မိတ်ဆက်ခြင်း**](./lessons/1-Intro/README.md) | | |
| 01 | [AI မိတ်ဆက်ခြင်းနှင့် သမိုင်း](./lessons/1-Intro/README.md) | - | - |
| II | **သင်္ကေတအခြေခံ AI** |
| 02 | [အတွေ့အကြုံ စနစ်များနှင့် သိခြင်း ကိုယ်စားပြုခြင်း](./lessons/2-Symbolic/README.md) | [အတွေ့အကြုံ စနစ်များ](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| III | [**နျူရယ်ကွန်ရက်များအကြောင်းမိတ်ဆက်**](./lessons/3-NeuralNetworks/README.md) |||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [Multi-Layered Perceptron နှင့် ကိုယ်ပိုင် Framework ဖန်တီးခြင်း](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [Framework များ (PyTorch/TensorFlow) နှင့် Overfitting အကြောင်းမိတ်ဆက်](./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) | [Lab](./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 ပေါ်တွင် ကွန်ပျူတာမြင်ကွင်းကို စူးစမ်းရန်](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 06 | [ကွန်ပျူတာမြင်ကွင်းမိတ်ဆက်။ OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./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) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 08 | [အရင်တင်ထားပြီးသောကွန်ရက်များနှင့် ကူးပြောင်းသင်ယူခြင်း](./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) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 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) |
| 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 အနုပညာစတိုင် ကူးပြောင်းခြင်း](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 11 | [အရာဝတ္ထုရှာဖွေရေး](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
| 12 | [ဘာသာခြားခြားနားနားရေးခြင်း။ 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 ကိုင်တွယ်ခြင်း**](./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 ပေါ်တွင် သဘာဝဘာသာစကား ကိုင်တွယ်ခြင်း ကို စူးစမ်းရန်](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 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 | [ဘာသာစကားရေးစဉ်အဓိပ္ပါယ် သွင်းယူခြင်း။ 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 မော်ဒယ်ဆွဲခြင်း။ ကိုယ်ပိုင် အဓိပ္ပါယ် သွင်းယူမှုများ 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) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 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) |
| 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) | [Lab](./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) | [ဆောင်းပါးခန်း](./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 | [အမည်ရ ကဏ္ဍ သတ်မှတ်ခြင်း](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) |
| 20 | [ကြီးမားသော ဘာသာစကား မော်ဒယ်များ၊ Prompt Programming နှင့် Few-Shot အလုပ်များ](./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 | [ဂျီနက်တစ် အယ်လ်ဂိုရစ်သမ်များ](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./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) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
| 23 | [Multi-Agent Systems](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| VII | **AI သဘာဝရွေးချယ်မှုများ** | | |
| 24 | [AI သဘာဝရွေးချယ်မှုများနှင့် တာဝန်ယူနိုင်သော AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: တာဝန်ယူနိုင်သော AI စည်းကမ်းများ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| 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) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
| 25 | [Multi-Modal Networks, CLIP နှင့် VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [မှတ်စုစာအုပ်](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
## သင်ခန်းစာတိုင်းတွင် ပါဝင်သည့်အရာများ
## 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။
* ရှေ့ဆက်အတတ်ပညာစာအုပ်များ
* framework အလိုက်ခွဲခြားထားသော Jupyter Notebooks အားလုံး (PyTorch သို့မဟုတ် TensorFlow) ပါဝင်သည်။ executable notebook တွင် သီအိုရီအရ အကြောင်းအရာများစွာပါရှိသောကြောင့် ချိတ်ဆက်သော Jupyter Notebook တစ်ခုကိုသာ (PyTorch သို့မဟုတ် TensorFlow) ကို ဖတ်ရှုနားလည်ရမည်။
* တချို့ခေါင်းစဉ်များအတွက် **Labs** ရရှိနိုင်ပြီး သင်လေ့လာထားသောအကြောင်းအရာများကို သက်ဆိုင်ရာ ပြဿနာအတွက် အသုံးပြုကြည့်နိုင်သည့် အခွင့်အရေးကို ပေးသည်။
* အချို့အပိုင်းများတွင် [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) သင်ခန်းစာများကို ချိတ်ဆက်ထားပြီး သက်ဆိုင်ရာခေါင်းစဉ်များကို ပါဝင်သည်။
## စတင်ရန်
## စတင်သင်ယူခြင်း
### 🎯 AI အကြောင်း အသစ်လား? ဒီနေရာကနေ စလိုက်ပါ!
### 🎯 AI အသစ်လား? ဒီနေရာမှ စလိုက်ပါ!
AI အကြောင်း အသစ်ပြီး လျင်မြန်သော လက်တွေ့နမူနာများ လိုအပ်ပါက ကျွန်ုပ်တို့ရဲ့ [**အခြေခံသူများအတွက်နမူနာများ**](./examples/README.md) ကို ကြည့်ပါ။ အဆိုပါနမူနာများတွင် ပါဝင်သည်မှာ -
AI ကို အသစ်စ entirely လုံးဝ မသိပါက၊ လျင်မြန်သွားနိုင်ရန် အတွေ့အကြုံရရှိစေမည့် [**အစ Beginner-Friendly ตัวอย่าง**](./examples/README.md) ကို ကြည့်ပါ! ၎င်းတို့သည် -
- 🌟 **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** - သင့်အတွက် ပထမဆုံး AI ပရိုဂရမ် (ပုံစံသိရှိခြင်း)
- 🧠 **ရိုးရှင်းသော နျူရယ်ကွန်ရက်** - neural network ကို အစကနေတည်ဆောက်ခြင်း
ဒီနမူနာများသည် AI အယူအဆကို လေ့လာမှု အပြည့်အစုံထဲသို့ ဝင်မည့် အကြောင်းကို နားလည်ရန် အထောက်အကူပြုသည်။
- 🖼️ **ရုပ်ပုံခွဲခြမ်းစစ်ဆေးသူ** - အကြောင်းအရာအသေးစိတ်မှတ်ချက်များနှင့် ရုပ်ပုံများကိုခွဲခြမ်းစစ်ဆေးခြင်း
- 💬 **စာသားခံစားချက်** - သဘောကျ/မကျ text ကိုခွဲခြမ်းစစ်ဆေးခြင်း
### 📚 စုံလင်သော သင်ရိုးညွှန်းတမ်း ပြင်ဆင်ခြင်း
ဤဥပမာများသည် သင်အား AI အကြောင်းအရာများကို နားလည်ရန် ကူညီရန် ရည်ရွယ်ပါသည်၊ ပြီးနောက် လုံးဝသင်တန်းအစီအစဉ်ကို စတင်ပါ။
- 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)
### 📚 လုံးဝသင်တန်းအစီအစဉ်တပ်ဆင်ခြင်း
အောက်ပါ အဆင့်များကို လိုက်နာပါ -
- သင်၏ဖွံ့ဖြိုးတိုးတက်မှုပတ်ဝန်းကျင် တပ်ဆင်ရာတွင် ကူညီရန် [setup lesson](./lessons/0-course-setup/setup.md) တစ်ခုကို ဖန်တီးထားပါသည်။ - သင်ကြားပေးသူများအတွက်လည်း [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) တစ်ခုကို ဖန်တီးထားပါသည်!
- [VSCode သို့မဟုတ် Codespace တွင် ကုဒ်ကို run ပြုလုပ်နည်း](./lessons/0-course-setup/how-to-run.md)
Repository ကို Fork လုပ်ပါ - ဒီစာမျက်နှာ၏ အပေါ်ယံညာဘက် ကွက်တွင်ရှိသော "Fork" ခလုတ်ကို နှိပ်ပါ။
အောက်ပါအဆင့်များကို လိုက်နာပါ-
Repository ကို Clone လုပ်ပါ - `git clone https://github.com/microsoft/AI-For-Beginners.git`
Repository ကို Fork လုပ်ပါ: ဤစာမျက်နှာ၏ အပေါ်ညာကွက်တွင်ရှိသည့် "Fork" ခလုတ်ကို နှိပ်ပါ။
Repository ကို Clone လုပ်ပါ: `git clone https://github.com/microsoft/AI-For-Beginners.git`
နောက်ပိုင်းတွင် ရှာဖွေရန် လွယ်ကူစေရန် ဤ repo ကို ကြယ်စင် (🌟) ချက်မမေ့ပါနဲ့။
နောက်မှ ရှာဖွေ၊ အလွယ်တကူ ရနိုင်ဖို့အတွက် ဒီ repo ကို စတား (🌟) မမေ့ပါနှင့်။
## အခြားလေ့လာသူများနှင့် တွေ့ဆုံခြင်း
ဤသင်တန်းကို လေ့လာနေသည့် အခြားလေ့လာသူများနှင့် တွေ့ဆုံပြီး စကားပြောဆွေးနွေးရန်၊ ကူညီမှုရရှိရန် [တရားဝင် AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) တွင် ပူးပေါင်းဆောင်ရွက်ပါ။
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။
ထုတ်ကုန်ဆီမှာ သဘောတူညီချက်များ သို့မဟုတ် မေးခွန်းများရှိပါက[Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) မှာ တိုက်ရိုက်ဆက်သွယ်နိုင်ပါသည်။
ထုတ်ကုန်အကြံပြုချက် သို့မဟုတ် ညွှန်ကြားမှု ရှိပါက [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) သို့ သွားရောက်စုံစမ်းပါ။
## စစ်တမ်းများ
## စစ်ဆေးမေးခွန်းများ
> **စစ်တမ်းများအကြောင်း မှတ်ချက်**: စစ်တမ်းများအားလုံးသည် etc\quiz-app တွင်ရှိသည့် Quiz-app ဖိုလ်ဒါထဲတွင်၊ သို့မဟုတ် [အွန်လိုင်းမှာ](https://ff-quizzes.netlify.app/) ရှိသည်။ ၎င်းတို့ကို သင်ခန်းစာများမှ လင့်ခ်ထားပြီး စစ်တမ်း app ကို ဒေသတွင်း run ပြုလုပ်နိုင်သလို Azure သို့ deploy လုပ်နိုင်ပါသည်။ `quiz-app` ဖိုလ်ဒါအတွင်းရှိ အသုံးပြုနည်းများကို လိုက်နာပါ။ စတင်၍ ဒေသတြင်းဘာသာပြန်နေပါသည်။
> **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။
## ကူညီလိုပါသည်
## အကူအညီလိုအပ်ပါသည်
အကြံပြုချက်ရှိပြီး စာလုံးပေါင်းသွင်းမမှန်ခြင်း သို့မဟုတ် ကုဒ်အမှားတွေကိုတွေ့ရှိပါက ကိစ္စတင်သွင်းပါ သို့မဟုတ် Pull request တစ်ခု ဖန်တီးပါ။
အကြံပြုချက်များ သို့မဟုတ် အမှားစာလုံး (spelling) သို့မဟုတ် ကုဒ်အမှားတွေ ရှိပါက တင်ပြပါ သို့မဟုတ် Pull request တောင်းဆိုပါ။
## အထူးကျေးဇူးတင်ရှိပါသည်
## အထူးကျေးဇူးတင်ပါသည်
* **✍️ အဓိကရေးသားသူ:** [Dmitry Soshnikov](http://soshnikov.com), PhD
* **🔥 တည်းဖြတ်သူ:** [Jen Looper](https://twitter.com/jenlooper), PhD
* **🎨 Sketchnote ပန်းချီဆွဲသူ:** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ စစ်တမ်းဖန်တီးသူ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **🙏 အဓိကအဖွဲ့ဝင်များ:** [Evgenii Pishchik](https://github.com/Pe4enIks)
* **✍️ 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)
## အခြား သင်တန်းအစီအစဉ်များ
## အခြား သင်ရိုးညွှန်းတမ်းများ
ကျွန်ုပ်တို့အသင်းသည် အခြား သင်တန်းအစီအစဉ်များကို ထုတ်လုပ်ပါသည်။ ကြည့်ပါ-
ကျွန်ုပ်တို့အသင်းသည် အခြားသင်ရိုးညွှန်းတမ်းများကို ထုတ်လုပ်လျက်ရှိသည်! စစ်ဆေးကြည့်ပါ -
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
### LangChain
@ -207,13 +215,13 @@ Repository ကို Clone လုပ်ပါ: `git clone https://github.com/mic
[![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 -->
## ကူညီမှုရယူရန်
## အကူအညီ ရယူရန်
AI apps ဖန်တီးရာတွင် အခင်အခဲတိုက်ရိုက်ကြုံတွေ့ပါက MCP သင်ယူနေသူများနှင့် အတွေ့အကြုံရှိ developer များ၏ ဆွေးနွေးကြမည့် ဖိုရမ်သို့ တက်ရောက်ပါ။ ၎င်းမှာ မေးခွန်းများကို လွတ်လပ်စွာမေးမြန်းနိုင်ပြီး သင်ကြားပေးမှုများကို မျှဝေကြတဲ့ ပံ့ပိုးမှုရှိသောအသင်းဝင်အဖွဲ့ပါ။
AI app များ တည်ဆောက်ရာတွင် ရပ်တန့်မဖြစ်ဘဲ မေးခွန်းများ ရှိပါက MCP နှင့် ပတ်သက်ပြီး အတွေ့အကြုံရှိသူအဖွဲ့နှင့် အခြားလေ့လာသူများနဲ့ ဆွေးနွေးရန် ပါဝင်ပါ။ ဒီသည် ဟာ မေးခွန်းများ လက်ခံပြီး အသိပညာ ရှင်းလင်းဝေမျှမှု အဆင်ပြေသော 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)
ထုတ်ကုန်ပေါ်တွင် တုံ့ပြန်ချက်များ သို့မဟုတ် အမှားများလည်းရှိပါက ဤနေရာသို့ သွားပါ-
ထုတ်ကုန် အကြံပြုချက် သို့မဟုတ် အမှားများ ရှိပါက ဤနေရာတွင် သွားရောက်ပါ -
[![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)
@ -221,5 +229,5 @@ AI apps ဖန်တီးရာတွင် အခင်အခဲတိုက
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
**အသိပေးချက်**
ဤစာတမ်းကို AI ဘာသာပြန်ဝန်ဆောင်မှုဖြစ်သော [Co-op Translator](https://github.com/Azure/co-op-translator) ကိုအသုံးပြု၍ ဘာသာပြန်ထားပါသည်။ ကျွန်ုပ်တို့သည် မှန်ကန်မှုအတွက် ကြိုးပမ်းဆောင်ရွက်သော်လည်း အလိုအလျောက်ဘာသာပြန်မှုတွင် အမှားများ သို့မဟုတ် မမှန်ကန်မှုများ ပါရှိနိုင်ကြောင်း အသိပေးလိုပါသည်။ မူရင်းစာတမ်းကို မူလဘာသာဖြင့်သာ ယုံကြည်ရမည့် အချက်အလက်အရင်းအမြစ်အဖြစ် အလေးထားစဉ်းစားရမည်ဖြစ်သည်။ အရေးကြီးသော သတင်းအချက်အလက်များအတွက် မိမိသူတော်အဖြစ် လူသားဘာသာပြန်ကို အသုံးပြုရန် အကြံပြုပါသည်။ ဤဘာသာပြန်မှုကို အသုံးပြုမှုကြောင့် ဖြစ်ပေါ်လာနိုင်သည့် နားလည်မှားယွင်းမှုများ၊ မှားယွင်းဖော်ပြမှုများအတွက် ကျွန်ုပ်တို့သည် တာ၀န်မရှိပါ။
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။
<!-- CO-OP TRANSLATOR DISCLAIMER END -->

1065
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translations/sl/.co-op-translator.json
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@ -6,8 +6,8 @@
"language_code": "sl"
},
"README.md": {
"original_hash": "75fe3383afc51eaa84b82ace619ffea7",
"translation_date": "2026-02-06T09:15:33+00:00",
"original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
"translation_date": "2026-02-28T10:06:34+00:00",
"source_file": "README.md",
"language_code": "sl"
},
@ -89,6 +89,12 @@
"source_file": "lessons/1-Intro/assignment.md",
"language_code": "sl"
},
"lessons/2-Symbolic/MSConceptGraph.ipynb": {
"original_hash": "e5690bbc6e5119a96a8172ec7261db67",
"translation_date": "2026-02-28T10:03:02+00:00",
"source_file": "lessons/2-Symbolic/MSConceptGraph.ipynb",
"language_code": "sl"
},
"lessons/2-Symbolic/README.md": {
"original_hash": "f9f06b266b8b2bfc6b8792ff2bb1bea4",
"translation_date": "2026-01-16T06:12:16+00:00",

197
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@ -12,160 +12,167 @@
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
# Umetna inteligenca za začetnike - učni načrt
# Umetna inteligenca za začetnike - Načrt učenja
|![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 avtorja [@girlie_mac](https://twitter.com/girlie_mac)_ |
| AI Za začetnike - _Sketchnote avtorice [@girlie_mac](https://twitter.com/girlie_mac)_ |
Raziščite svet **umetne inteligence** (UI) z našim 12-tedenskim, 24-lekcijskim učnim načrtom! Vključuje praktične lekcije, kvize in laboratorijske vaje. Učni načrt je prijazen do začetnikov in pokriva orodja, kot sta TensorFlow in PyTorch, pa tudi etiko v UI.
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.
### 🌐 Podpora več jezikov
### 🌐 Podpora za več jezikov
#### Podprto preko GitHub Action (avtomatsko in vedno posodobljeno)
#### Podprto preko GitHub Action (avtomatizirano in vedno posodobljeno)
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
[Arabščina](../ar/README.md) | [Bengalščina](../bn/README.md) | [Bolgarščina](../bg/README.md) | [Burmanščina (Mjanmar)](../my/README.md) | [Poenostavljena kitajščina](../zh-CN/README.md) | [Tradicionalna kitajščina (Hong Kong)](../zh-HK/README.md) | [Tradicionalna kitajščina (Macao)](../zh-MO/README.md) | [Tradicionalna kitajščina (Tajvan)](../zh-TW/README.md) | [Hrvaščina](../hr/README.md) | [Češčina](../cs/README.md) | [Danščina](../da/README.md) | [Nizozemščina](../nl/README.md) | [Estonščina](../et/README.md) | [Finščina](../fi/README.md) | [Francoščina](../fr/README.md) | [Nemščina](../de/README.md) | [Grščina](../el/README.md) | [Hebrejščina](../he/README.md) | [Hindijščina](../hi/README.md) | [Madžarščina](../hu/README.md) | [Indonezijščina](../id/README.md) | [Italijanščina](../it/README.md) | [Japonščina](../ja/README.md) | [Kannada](../kn/README.md) | [Korejščina](../ko/README.md) | [Litovščina](../lt/README.md) | [Malajščina](../ms/README.md) | [Malajalščina](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalščina](../ne/README.md) | [Nigerijski pidžin](../pcm/README.md) | [Norveščina](../no/README.md) | [Perzijski (Farsi)](../fa/README.md) | [Poljščina](../pl/README.md) | [Portugalski (Brazilija)](../pt-BR/README.md) | [Portugalski (Portugalska)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romunščina](../ro/README.md) | [Ruščina](../ru/README.md) | [Srbščina (cirilica)](../sr/README.md) | [Slovaščina](../sk/README.md) | [Slovenščina](./README.md) | [Španščina](../es/README.md) | [Svahili](../sw/README.md) | [Švedščina](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamilščina](../ta/README.md) | [Telugu](../te/README.md) | [Tajščina](../th/README.md) | [Turščina](../tr/README.md) | [Ukrajinščina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamščina](../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) | [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 klonirate lokalno?**
> Ta repozitorij vključuje več kot 50 jezikovnih prevodov, kar znatno poveča velikost prenosa. Za kloniranje brez prevodov uporabite sparse checkout:
> **Raje želite lokalno klonirati?**
>
> Ta repozitorij vključuje več kot 50 prevodov jezikov, kar znatno poveča velikost prenosa. Za kloniranje brez prevodov uporabite sparse checkout:
>
> **Bash / macOS / Linux:**
> ```bash
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
> cd AI-For-Beginners
> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
> ```
> Tako boste imeli vse, kar potrebujete za dokončanje tečaja, z veliko hitrejšim prenosom.
>
> **CMD (Windows):**
> ```cmd
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
> cd AI-For-Beginners
> git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
> ```
>
> Tako dobite vse, kar potrebujete za dokončanje tečaja, z veliko hitrejšim prenosom.
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
**Če želite, da so podprti dodatni jeziki za prevod, so na voljo [tukaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
**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)**
## Pridružite se skupnosti
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
## Kaj se boste naučili
**[Miselni zemljevid tečaja](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
**[Mindmap tečaja](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
V tem učnem načrtu se boste naučili:
V tem načrtu učenja se boste naučili:
* Različne pristope k umetni inteligenci, vključno s "starim dobrim" simbolnim pristopom z **predstavo znanja** in sklepanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
* **Nevronske mreže** in **globoko učenje**, ki sta jedro sodobne UI. Koncepte teh pomembnih tem bomo ponazorili z uporabo kode v dveh najpopularnejših ogrodjih - [TensorFlow](http://Tensorflow.org) in [PyTorch](http://pytorch.org).
* **Nevronske arhitekture** za delo s slikami in besedilom. Pokrili bomo novejše modele, vendar so lahko nekoliko zaostali za najnovejšimi trendi.
* Manj priljubljene pristope k UI, kot so **genetski algoritmi** in **sistemi z več agenti**.
* 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**.
Kaj ne bomo pokrivali v tem učnem načrtu:
Kaj v tem načrtu ne bomo pokrivali:
> [Poiščite 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)
> [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)
* Poslovni primeri uporabe **UI v poslovanju**. Razmislite o začetnem učnem programu [Uvod v UI za poslovne uporabnike](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn ali [UI 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 UI, zgrajene 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), [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.
* Specifična oblačna ogrodja 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 [Izgradnja 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 [Izgradnja 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).
* **Klepetalna UI** in **chat boti**. Obstaja posebna učna pot [Ustvarjanje klepetalnih UI rešitev](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), poleg tega pa se lahko za več podrobnosti obrnete na [ta blog objavo](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 tudi na voljo na spletu na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
* 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/).
Za nežen uvod v teme _UI v oblaku_ lahko razmislite o učenju z učnim potjo [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).
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.
# Vsebina
| | Povezava do lekcije | PyTorch/Keras/TensorFlow | Laboratorij |
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
| 0 | [Nastavitev tečaja](./lessons/0-course-setup/setup.md) | [Nastavite razvojno okolje](./lessons/0-course-setup/how-to-run.md) | |
| 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** |
| 02 | [Predstavitev znanja in ekspertski sistemi](./lessons/2-Symbolic/README.md) | [Ekspertski sistemi](./lessons/2-Symbolic/Animals.ipynb) / [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptni graf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| 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 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)| [Raziskuj 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 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) |
| 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 | [Prednaložene mreže in prenosno učenje](./lessons/4-ComputerVision/08-TransferLearning/README.md) in [Triki pri učenju](./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 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 | [Generativne nasprotujoče 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 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) |
| 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) |
| 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) | [Raziskuj 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) | [Raziščite 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 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. Učenje lastnih vgradenj](./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 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) |
| 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 | [Transformerji. 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 poimenovanih 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 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 | **Druge tehnike AI** || |
| 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) | |
| 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** || |
| 21 | [Genetski algoritmi](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Zvezek](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
| 22 | [Gloko utrjevalno 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 | [Večagentni sistemi](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| VII | **Etika AI** | | |
| 24 | [Etika AI in odgovorni 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) | |
| 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) |
| 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) | |
| IX | **Dodatki** | | |
| 25 | [Večmodalne mreže, CLIP in VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Zvezek](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
## Vsaka lekcija vsebuje
* Predhodno gradivo za branje
* Izvedljive Jupyter zvezke, ki so pogosto specifični za ogrodje (**PyTorch** ali **TensorFlow**). Izvedljiv zvezek vsebuje tudi veliko teoretičnega gradiva, zato morate za razumevanje teme preiti vsaj eno različico zvezka (ali PyTorch ali TensorFlow).
* **Laboratorije** na voljo za nekatere teme, ki vam omogočajo, da poskusite uporabiti naučeno gradivo na določenem problemu.
* Nekateri odseki vsebujejo povezave do modulov [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), ki pokrivajo sorodne teme.
* 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.
## Začetek
### 🎯 Nov v AI? Začni tukaj!
Če ste popoln začetnik v AI in želite hitre, praktične primere, si oglejte naše [**Prijazne primere za začetnike**](./examples/README.md)! Vključujejo:
Če ste popoln začetnik v AI in želite hitre, praktične primere, si oglejte naše [**Primeri za začetnike**](./examples/README.md)! Ti vključujejo:
- 🌟 **Pozdravljen AI svet** - Vaš prvi AI program (prepoznavanje vzorcev)
- 🌟 **Pozdravljen svet AI** - 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
- 🖼️ **Razvrščevalnik slik** - Razvrščajte slike z podrobnimi komentarji
- 💬 **Sentiment besedila** - Analizirajte pozitivno/negativno besedilo
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 koncepte umetne inteligence, preden se poglobite v celoten učni načrt.
### 📚 Celotna nastavitev učnega načrta
### 📚 Nastavitev celotnega učnega načrta
- Ustvarili smo [uvodno lekcijo za nastavitev](./lessons/0-course-setup/setup.md), ki vam pomaga pri nastavitvi vašega razvojnega okolja. - Za izobraževalce smo prav tako ustvarili [lekcijo o nastavitvi učnih načrtov](./lessons/0-course-setup/for-teachers.md)!
- 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)
Sledite tem korakom:
Razvezi repozitorij: Kliknite na gumb "Fork" v zgornjem desnem kotu te strani.
Razvejite skladišče: Kliknite na gumb "Fork" zgoraj desno na tej strani.
Kloniraj repozitorij: `git clone https://github.com/microsoft/AI-For-Beginners.git`
Klonirajte skladišče: `git clone https://github.com/microsoft/AI-For-Beginners.git`
Ne pozabite dati zvezdico (🌟) temu repozitoriju za lažje iskanje kasneje.
Ne pozabite zvezdico (🌟) dodati temu repozitoriju, da ga boste lažje našli pozneje.
## Spoznajte druge učence
## Spoznajte druge udeležence
Pridružite se našemu [uradnemu Discord strežniku AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), da spoznate in mrežite z drugimi udeleženci tega tečaja 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, ki obiskujejo tečaj, ter pridobite podporo.
Če imate povratne informacije o izdelku ali vprašanja med razvojem, obiščite naš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
Če imate povratne informacije o izdelku ali vprašanja med gradnjo, obiščite naš [Azure AI Foundry Developer 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/) Povezave do njih so vključene v lekcijah. Aplikacijo kviz lahko zaženete lokalno ali pa jo namestite na Azure; sledite navodilom v mapi `quiz-app`. Postopoma se prevajajo.
> **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.
## Potrebna pomoč
## Iščemo pomoč
Imate predloge ali ste opazili pravopisne ali kodne napake? Odprite zadevo (issue) ali ustvarite pull zahtevo.
Imate predloge ali ste našli pravopisne ali kode napake? Odprite težavo ali ustvarite pull zahtevo.
## Posebna zahvala
## Posebne zahvale
* **✍️ Glavni avtor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
* **🔥 Urejevalec:** [Jen Looper](https://twitter.com/jenlooper), PhD
* **🎨 Ilustrator skic:** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ Ustvarjalec kvizov:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **🙏 Glavni prispevki:** [Evgenii Pishchik](https://github.com/Pe4enIks)
* **✍️ 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)
* **✅ Ustvarjalec kvizov:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **🙏 Glavni sodelavci:** [Evgenii Pishchik](https://github.com/Pe4enIks)
## Drugi učni načrti
Naša ekipa izdeluje tudi druge učne načrte! Oglejte si:
Naša ekipa ustvarja še druge učne načrte! Oglejte si:
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
### LangChain
@ -174,52 +181,52 @@ Naša ekipa izdeluje tudi 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 / Agents
### Azure / Edge / MCP / Agenti
[![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)
[![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)
[![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)
---
### Serija generativne umetne inteligence
[![Generative 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)
[![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)
### 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)
[![Generativna 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
[![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)
[![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)
[![UI 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)
[![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)
[![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)
[![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)
[![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)
[![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)
[![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)
---
### Serija Copilot
[![Copilot za AI programiranje v paru](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)
### 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 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)
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
## Kako dobiti pomoč
## Pomoc
Če se zataknete ali imate vprašanja o razvoju AI aplikacij. Pridružite se kolegom učencem in izkušenim razvijalcem v razpravah o MCP. To je podporna skupnost, kjer so vprašanja dobrodošla in kjer se znanje prosto deli.
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.
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
Če imate povratne informacije o izdelku ali napake med razvojem obiščite:
Če imate povratne informacije o izdelku ali napake med gradnjo, 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)
---
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
**Omejitev odgovornosti**:
Ta dokument je bil preveden z uporabo storitve za prevajanje z umetno inteligenco [Co-op Translator](https://github.com/Azure/co-op-translator). Čeprav si prizadevamo za natančnost, vas opozarjamo, da lahko avtomatski prevodi vsebujejo napake ali netočnosti. Izvirni dokument v njegovem izvorno jeziku se šteje za avtoritativni vir. Za kritične informacije priporočamo strokovni človeški prevod. Za morebitna nesporazume ali napačne interpretacije, ki izhajajo iz uporabe tega prevoda, ne odgovarjamo.
**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.
<!-- CO-OP TRANSLATOR DISCLAIMER END -->

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