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"language_code": "et"
},
"README.md": {
"original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
"translation_date": "2026-02-28T08:50:41+00:00",
"original_hash": "12c8eb6bf0867d2f1c32daf613ac5b8b",
"translation_date": "2026-04-06T16:03:39+00:00",
"source_file": "README.md",
"language_code": "et"
},

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|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)|
|:---:|
| AI algajatele - _Sketchnote autorilt [@girlie_mac](https://twitter.com/girlie_mac)_ |
| Tehisintellekt algajatele - _Sketchnote autorilt [@girlie_mac](https://twitter.com/girlie_mac)_ |
Avasta **Tehisintellekti** (AI) maailm meie 12-nädalase, 24-õpetusega õppekavaga! See sisaldab praktilisi õppetükke, teste ja laboreid. Õppekava on algajasõbralik ja hõlmab tööriistu nagu TensorFlow ja PyTorch ning ka AI eetikat.
Avasta **Tehisintellekti** (AI) maailm meie 12-nädalase, 24-õppeüksusesse jagatud õppekavaga! See sisaldab praktilisi tunde, viktoriine ja laborisessioone. Õppekava on algajasõbralik ning käsitleb tööriistu nagu TensorFlow ja PyTorch ning samuti eetikat tehisintellektis.
### 🌐 Mitmekeelne tugi
#### Toetatud GitHub Action'i kaudu (automaatne ja alati ajakohane)
#### Toetatud GitHub Actioni kaudu (automatiseeritud ja alati ajakohane)
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
[Araabia](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgaaria](../bg/README.md) | [Birma (Myanmar)](../my/README.md) | [Hiina (lihtsustatud)](../zh-CN/README.md) | [Hiina (traditsiooniline, Hongkong)](../zh-HK/README.md) | [Hiina (traditsiooniline, Macao)](../zh-MO/README.md) | [Hiina (traditsiooniline, Taiwan)](../zh-TW/README.md) | [Horvaadi](../hr/README.md) | [Tšehhi](../cs/README.md) | [Taani](../da/README.md) | [Hollandi](../nl/README.md) | [Eesti](./README.md) | [Soome](../fi/README.md) | [Prantsuse](../fr/README.md) | [Saksa](../de/README.md) | [Kreeka](../el/README.md) | [Heebrea](../he/README.md) | [Hindi](../hi/README.md) | [Ungari](../hu/README.md) | [Indoneesia](../id/README.md) | [Itaalia](../it/README.md) | [Jaapani](../ja/README.md) | [Kannada](../kn/README.md) | [Korea](../ko/README.md) | [Leedu](../lt/README.md) | [Malai](../ms/README.md) | [Malajalami](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigeeria pidgin](../pcm/README.md) | [Norra](../no/README.md) | [Pärsia (Farsi)](../fa/README.md) | [Poola](../pl/README.md) | [Portugali (Brasiilia)](../pt-BR/README.md) | [Portugali (Portugal)](../pt-PT/README.md) | [Pandžabi (Gurmukhi)](../pa/README.md) | [Rumeenia](../ro/README.md) | [Vene](../ru/README.md) | [Serbia (kirillitsa)](../sr/README.md) | [Slovaki](../sk/README.md) | [Sloveeni](../sl/README.md) | [Hispaania](../es/README.md) | [Suaheli](../sw/README.md) | [Rootsi](../sv/README.md) | [Tagalo (Filipino)](../tl/README.md) | [Tamili](../ta/README.md) | [Telugu](../te/README.md) | [Tai](../th/README.md) | [Türgi](../tr/README.md) | [Ukraina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnam](../vi/README.md)
[araabia](../ar/README.md) | [bengali](../bn/README.md) | [bulgaaria](../bg/README.md) | [birma (Myanmar)](../my/README.md) | [hiina (lihtsustatud)](../zh-CN/README.md) | [hiina (traditsiooniline, Hongkong)](../zh-HK/README.md) | [hiina (traditsiooniline, Macau)](../zh-MO/README.md) | [hiina (traditsiooniline, Taiwan)](../zh-TW/README.md) | [horvaadi](../hr/README.md) | [tšehhi](../cs/README.md) | [taani](../da/README.md) | [hollandi](../nl/README.md) | [eesti](./README.md) | [soome](../fi/README.md) | [prantsuse](../fr/README.md) | [saksa](../de/README.md) | [kreeka](../el/README.md) | [heebrea](../he/README.md) | [hindi](../hi/README.md) | [ungari](../hu/README.md) | [indoneesia](../id/README.md) | [itaalia](../it/README.md) | [jaapani](../ja/README.md) | [kannada](../kn/README.md) | [khmeeri](../km/README.md) | [korea](../ko/README.md) | [leedu](../lt/README.md) | [malai](../ms/README.md) | [malajalami](../ml/README.md) | [marathi](../mr/README.md) | [nepali](../ne/README.md) | [Nigeeria pidgin](../pcm/README.md) | [norra](../no/README.md) | [pärsia (farsi)](../fa/README.md) | [poola](../pl/README.md) | [portugali (Brasiilia)](../pt-BR/README.md) | [portugali (Portugal)](../pt-PT/README.md) | [pandžabi (gurmukhi)](../pa/README.md) | [rumeenia](../ro/README.md) | [vene](../ru/README.md) | [serbia (küüritits)](../sr/README.md) | [slovaki](../sk/README.md) | [sloveeni](../sl/README.md) | [hispaania](../es/README.md) | [suahiili](../sw/README.md) | [rootsi](../sv/README.md) | [tagalogi (filipino)](../tl/README.md) | [tamil](../ta/README.md) | [telugu](../te/README.md) | [tai](../th/README.md) | [türgi](../tr/README.md) | [ukraina](../uk/README.md) | [urdu](../ur/README.md) | [vietnami](../vi/README.md)
> **Eelistad kloonida kohalikult?**
> **Eelistate kloonida lokaalselt?**
>
> See hoidla sisaldab üle 50 keele tõlkeid, mis suurendab oluliselt allalaadimise mahtu. Tõlgeteta kloonimiseks kasuta sparsi checkout'i:
> See hoidla sisaldab 50+ keele tõlkeid, mis suurendab oluliselt allalaadimise suurust. Tõlgeteta kloonimiseks kasutage hajutatud allalaadimist:
>
> **Bash / macOS / Linux:**
> ```bash
@ -45,182 +45,182 @@ Avasta **Tehisintellekti** (AI) maailm meie 12-nädalase, 24-õpetusega õppekav
> git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
> ```
>
> See annab sulle kõik vajaliku kursuse läbimiseks palju kiirema allalaadimisega.
> See annab teile kõik vajaliku kursuse läbimiseks palju kiirema allalaadimisega.
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
**Kui soovid toetada täiendavaid tõlkekeeli, siis toetatud keeled on loetletud [siin](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
**Kui soovite toetada täiendavaid tõlkekeeli, siis need on loetletud [siin](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
## Liitu kogukonnaga
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
## Mida sa õpid
## Mida õpid
**[Kursuse mõttekaart](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
Selles õppekavas õpid:
* Erinevaid lähenemisi tehisintellektile, kaasa arvatud "vana hea" sümboolne lähenemine koos **teadmiste representatsiooni** ja järeldamisega ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
* **Närvivõrgud** ja **sügav õpe**, mis on kaasaegse AI tuum. Selgitame nende oluliste teemade taga olevaid kontseptsioone koodinäidete abil kahel populaarsemal raamistikul - [TensorFlow](http://Tensorflow.org) ja [PyTorch](http://pytorch.org).
* **Närviarhitektuurid**, mis töötavad piltide ja tekstiga. Katame hiljutisi mudeleid, kuid oleme ehk pisut mahajäänud kõige uuemate suundumustega.
* Vähem populaarsed AI lähenemised, näiteks **geneetilised algoritmid** ja **mitmeagendilised süsteemid**.
* Erinevaid lähenemisi tehisintellektile, sealhulgas "vana hea" sümboolset lähenemist koos **Teadmiste esindamise** ja järeldamisega ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
* **Närvivõrke** ja **Sügavat õppimist**, mis on kaasaegse AI tuumik. Illustreerime nende oluliste teemade taga olevaid kontseptsioone kahe kõige populaarsema raamistikuga - [TensorFlow](http://Tensorflow.org) ja [PyTorch](http://pytorch.org).
* **Närviarhitektuure** piltide ja teksti töötlemiseks. Käsitleme viimaseid mudeleid, kuid võime olla veidi maha jäänud tipptasemest.
* Vähem populaarseid AI lähenemisi, nagu **genetilised algoritmid** ja **mitmeagendilised süsteemid**.
Mida me selles õppekavas ei käsitle:
> [Leia kõik täiendavad selle kursuse ressursid meie Microsoft Learn kollektsioonist](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
> [Leia selle kursuse kõik lisamaterjalid meie Microsoft Leverage kogust](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
* Ärikasutuses kasutatavad **AI ärijuhtumid**. Soovitatav on võtta [Sissejuhatus äri kasutajatele AI-sse](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) õpperada Microsoft Learnis või [AI ärikool](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), mis on loodud koostöös [INSEADiga](https://www.insead.edu/).
* **Klassikaline masinõpe**, mida on hästi kirjeldatud meie [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) õppekavas.
* Praktilised AI rakendused, mis on loodud kasutades **[kognitiivseid teenuseid](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Soovitame alustada Microsoft Learni modulitest [nägemise](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [loomuliku keele töötlemise](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatiivse AI-ga Azure OpenAI teenuses](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ja teised.
* Spetsiifilised ML **pilverahastikud**, nagu [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) või [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Soovitatav on kasutada [Ehitada ja hallata masinõppe lahendusi Azure ML-iga](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ja [Ehitada ja hallata masinõppe lahendusi Azure Databricksiga](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) õpperadu.
* **Vestluslik AI** ja **vestlusrobotid**. Selleks on eraldi [Loo vestlusliku AI lahendused](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) õpperada ja võid ka küsida lisateavet [selles blogipostituses](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/).
* **Sügavad matemaatilised alused** sügava õppe taga. Soovitame selleks [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) raamatut autoritelt Ian Goodfellow, Yoshua Bengio ja Aaron Courville, mis on ka veebis kättesaadav aadressil [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
* Ärilised juhtumid, kus kasutatakse **AI äritegevuses**. Soovita läbida Microsoft Learn õppeteek [Sissejuhatus äri kasutajatele AI-sse](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum), või [AI ärikool](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), mis on koostöös [INSEAD](https://www.insead.edu/)iga välja töötatud.
* **Klassikalist masinõpet**, mida kirjeldatakse põhjalikult meie [Masinõppe algajatele õppekavas](http://github.com/Microsoft/ML-for-Beginners).
* Praktilisi AI rakendusi, mis on loodud kasutades **[Kognitiivseid teenuseid](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Soovitame alustada Microsoft Learn moodulitest näiteks [arvutinägemise](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [loomuliku keele töötlemise](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum) ja **[Generatiivse AI-ga Azure OpenAI teenuses](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** moodulid ja teised.
* Spetsiifilisi ML **pilve raamistikke**, nagu [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) või [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Soovitame kasutada õppeteid [Masinõppe lahenduste ehitamine ja haldamine Azure Machine Learninguga](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ja [Masinõppe lahenduste ehitamine ja haldamine Azure Databricksiga](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
* **Vestlustepõhist AI-d** ja **juturoboteid**. Selle jaoks on eraldi [Vestlustepõhiste AI lahenduste loomise](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) õppeteek, ning täpsema info saamiseks võib vaadata ka [seda blogipostitust](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/).
* **Sügavat matemaatikat** sügava õppimise taga. Selleks soovitame [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) raamatut, mille autoriteks on Ian Goodfellow, Yoshua Bengio ja Aaron Courville, mis on ka veebis saadaval aadressil [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
Õrnaks sissejuhatuseks _pilvepõhisesse AI-sse_ võid kaaluda [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) õpperada.
Kõrvetulatuse saamiseks _pilve AI_ teemades võid kaaluda [Hakka tehisintellekti kasutamisega Azure’is algajaks](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) õppeteed.
# Sisu
| | Õppetüki link | PyTorch/Keras/TensorFlow | Labor |
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
| 0 | [Kursuse seadistamine](./lessons/0-course-setup/setup.md) | [Seadista oma arendus keskkond](./lessons/0-course-setup/how-to-run.md) | |
| | Õppeüksuse link | PyTorch/Keras/TensorFlow | Labor |
| :-: | :--------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------: | ------------------------------------------------------------------ |
| 0 | [Kursuse seadistamine](./lessons/0-course-setup/setup.md) | [Arenduskeskkonna seadistamine](./lessons/0-course-setup/how-to-run.md) | |
| I | [**Sissejuhatus AI-sse**](./lessons/1-Intro/README.md) | | |
| 01 | [Sissejuhatus ja AI ajalugu](./lessons/1-Intro/README.md) | - | - |
| 01 | [AI tutvustus ja ajalugu](./lessons/1-Intro/README.md) | - | - |
| II | **Sümboolne AI** |
| 02 | [Teadmiste esitus ja ekspertsüsteemid](./lessons/2-Symbolic/README.md) | [Ekspertsüsteemid](./lessons/2-Symbolic/Animals.ipynb) / [Ontoloogia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Kontseptsioonigraafik](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| 02 | [Teadmiste esitamine ja eksperdsüsteemid](./lessons/2-Symbolic/README.md) | [Eksperdsüsteemid](./lessons/2-Symbolic/Animals.ipynb) / [Ontoloogia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Kontseptsioonigraafik](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| III | [**Sissejuhatus närvivõrkudesse**](./lessons/3-NeuralNetworks/README.md) |||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Märkmik](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Labor](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [Mitmekihiline perceptron ja oma raamistik](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Märkmik](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Labor](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [Sissejuhatus raamistikesse (PyTorch/TensorFlow) ja ületreenimine](./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) | [Labor](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV | [**Arvutinägemine**](./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)| [Avasta arvutinägemine Microsoft Azure'is](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 03 | [Perseptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Märkmik](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Labor](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [Mitmekihiline perseptron ja oma raamistik](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Märkmik](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Labor](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [Sissejuhatus raamistikesse (PyTorch/TensorFlow) ja üleõppimine](./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) | [Labor](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV | [**Arvutinägemine**](./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)| [Avasta arvutinägemine Microsoft Azure’is](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 06 | [Sissejuhatus arvutinägemisse. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Märkmik](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Labor](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
| 07 | [Konvolutsioonilised närvivõrgud](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN arhitektuurid](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Labor](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 08 | [Eeltreenitud võrgud ja teadmiste ülekandmine](./lessons/4-ComputerVision/08-TransferLearning/README.md) ja [Treeningunipid](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labor](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 09 | [Autoencoderid ja VAEd](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
| 10 | [Generatiivsed vastandvõrgud ja kunstilise stiili ülekandmine](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 08 | [Eeltrenni võrgud ja ülekandõpe](./lessons/4-ComputerVision/08-TransferLearning/README.md) ja [Treeningunipid](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labor](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 09 | [Autokodeerijad ja VAEd](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
| 10 | [Generatiivsed vastandvõrgud ja kunstiline stiiliedastus](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 11 | [Objekti tuvastamine](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Labor](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
| 12 | [Semantiline segmentimine. 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 | [**Loodusliku keele töötlemine**](./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) | [Avasta loodusliku keele töötlemine Microsoft Azure'is](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 13 | [Tekstiesitus. Koti mudel / 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 | [Semantilised sõnade manused. Word2Vec ja 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 | [Keelemudelid. Oma manuste treenimine](./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) | [Labor](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 16 | [Tagasikorduvad närvivõrgud](./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 | [Generatiivsed tagasikorduvad võrgud](./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) | [Labor](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
| 18 | [Transformerid. 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 | [Nimede äratundmine](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Labor](./lessons/5-NLP/19-NER/lab/README.md) |
| 20 | [Suured keelemudelid, taskude programmeerimine ja väheste näidete ülesanded](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| V | [**Loodusliku keele töötlemine**](./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) | [Avasta loodusliku keele töötlemise võimalused Microsoft Azure’is](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 13 | [Teksti esitamine. 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 | [Semantilised sõnaesitused. Word2Vec ja 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 | [Keelemudel. Oma esituste treenimine](./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) | [Labor](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 16 | [Korduvad närvivõrgud](./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 | [Generatiivsed korduvad võrgud](./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) | [Labor](./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 | [Märgistatud üksuste tuvastamine](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Labor](./lessons/5-NLP/19-NER/lab/README.md) |
| 20 | [Suurkeelemudelid, promptide programmeerimine ja väheste proovidega ülesanded](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| VI | **Muud tehisintellekti tehnikad** || |
| 21 | [Geneetilised algoritmid](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Märkmik](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
| 22 | [Sügav tugevdusõpe](./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) | [Labor](./lessons/6-Other/22-DeepRL/lab/README.md) |
| 23 | [Mitmeagendilised süsteemid](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| VII | **Tehisintellekti eetika** | | |
| 24 | [Tehisintellekti eetika ja vastutustundlik AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: vastutustundliku AI põhimõtted](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| 24 | [Tehisintellekti eetika ja vastutustundlik tehisintellekt](./lessons/7-Ethics/README.md) | [Microsoft Learn: Vastutustundliku AI printsiibid](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX | **Lisad** | | |
| 25 | [Mitmemodaalsed võrgud, CLIP ja VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Märkmik](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
| 25 | [Mitme-modaalvõrgud, CLIP ja VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Märkmik](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
## Iga õppetund sisaldab
* Eelinfo materjal
* Täidetavad Jupyteri märkmikud, mis on sageli raamistikuspetsiifilised (**PyTorch** või **TensorFlow**). Täidetav märkmik sisaldab samuti palju teoreetilist materjali, seega teema mõistmiseks peate läbi töötama vähemalt ühe märkmiku versiooni (kas PyTorch või TensorFlow).
* Mõne teema kohta on saadaval **praktikumid**, mis annavad võimaluse proovida õpitut rakendada konkreetsele probleemile.
* Mõned osad sisaldavad linke [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moodulitele, mis käsitlevad seotud teemasid.
## Iga peatükk sisaldab
* Eelnev lugemismaterjal
* Käivitatavad Jupyteri märkmikud, mis on sageli raamistikupõhised (**PyTorch** või **TensorFlow**). Käivitatav märkmik sisaldab ka palju teoreetilist materjali, nii et teema mõistmiseks tuleb läbida vähemalt üks märkmiku versioon (kas PyTorch või TensorFlow).
* Mõnedel teemadel on saadaval **laborid**, mis annavad võimaluse proovida õpitu rakendamist konkreetse probleemi lahendamisel.
* Mõned sektsioonid sisaldavad linke [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moodulitele, mis käsitlevad seotud teemasid.
## Alustamine
### 🎯 Uus tehisintellektis? Alusta siit!
### 🎯 Oled AI uus? Alusta siit!
Kui oled AI-ga täiesti uus ja soovid kiireid, praktilisi näiteid, vaata meie [**Algajatele mõeldud näited**](./examples/README.md)! Need sisaldavad:
Kui oled AI-ga täiesti uus ja soovid kiireid, praktilisi näiteid, vaata meie [**Algajatele sõbralikke näiteid**](./examples/README.md)! Need sisaldavad:
- 🌟 **Tere AI maailm** - Sinu esimene AI programm (mustrituvastus)
- 🧠 **Lihtne närvivõrk** - Ehita närvivõrk nullist
- 🖼️ **Pildiklasseerija** - Piltide klassifitseerimine üksikasjalike kommentaaridega
- 💬 **Teksti meeleolu** - Positiivse/negatiivse teksti analüüs
- 🌟 **Tere Tulemast AI Maailma** - Sinu esimene AI programm (mustrituvastus)
- 🧠 **Lihtne Neuraalvõrk** - Ehita neuraalvõrk algusest peale
- 🖼️ **Pildiklassifikaator** - Piltide klassifitseerimine üksikasjalike kommentaaridega
- 💬 **Teksti meeleolu analüüs** - Positiivse/negatiivse teksti analüüs
Need näited on loodud selleks, et aidata sul mõista AI kontseptsioone enne kogu õppekava läbimist.
Need näited on mõeldud aitama sul arusaamist AI kontseptsioonidest enne täiskursusega süvenemist.
### 📚 Täieliku õppekava seadistamine
### 📚 Täiskursuse seadistamine
- Oleme loonud [seadistamise õppetunni](./lessons/0-course-setup/setup.md), mis aitab sul arendus- keskkonda seadistada. - Õpetajatele oleme loonud ka [õppekava seadistamise õppetunni](./lessons/0-course-setup/for-teachers.md)!
- Oleme loonud [seadistamistunni](./lessons/0-course-setup/setup.md), mis aitab sul seadistada oma arendusõhkkonda. - Õpetajatele oleme loonud [õppekava seadistamistunni](./lessons/0-course-setup/for-teachers.md) samuti!
- Kuidas [koodi käivitada VSCode'is või Codespaces'is](./lessons/0-course-setup/how-to-run.md)
Järgi neid samme:
Forki hoidla: Klõpsa sellel lehel ülanurgas nupule "Fork".
Varasta hoidla: Klõpsa selle lehe paremas ülanurgas nuppu "Fork".
Klooni hoidla: `git clone https://github.com/microsoft/AI-For-Beginners.git`
Ära unusta lisada (🌟) tärni, et repo hiljem kergemini leida.
Ära unusta lisada sellele hoidlale täht (🌟), et seda hiljem hõlpsam leida.
## Kohtumine teiste õppuritega
## Tutvu teiste õppijatega
Liitu meie [ametliku AI Discordi serveriga](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), et kohtuda ja suhelda teiste selle kursuse läbivate õppuritega ning saada tuge.
Liitu meie [ametliku AI Discordi serveriga](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), et kohtuda ja suhelda teiste selle kursuse õppijatega ning saada tuge.
Kui sul on toote tagasisidet või küsimusi arendamise ajal, külasta meie [Azure AI Foundry arendajate foorumit](https://aka.ms/foundry/forum)
Kui sul on toodete kohta tagasisidet või küsimusi ehitamise ajal, külasta meie [Azure AI Foundry arendajate foorumit](https://aka.ms/foundry/forum)
## Testid
## Väiksed testid
> **Märkuse testide kohta**: Kõik testid on koos Quiz-app kaustas asukohas etc\quiz-app või [Veebis siin](https://ff-quizzes.netlify.app/). Neile viidatakse õppetundide sees; testi rakendust saab käivitada lokaalselt või juurutada Azure'i; järgi juhiseid `quiz-app` kaustas. Need on järk-järgult lokaliseerimisel.
> **Märkus testide kohta**: Kõik testid asuvad kaustas Quiz-app kaustas etc\quiz-app või on [veebis siin](https://ff-quizzes.netlify.app/). Neid on lingitud õppetundide seest, testirakendust saab käivitada lokaalselt või kasutusele võtta Azure'i; järgi juhiseid `quiz-app` kaustas. Neid lokaliseeritakse järk-järgult.
## Abi otsitakse
## Abi soovitakse
Kas sul on ettepanekuid või oled leidnud kirjavigu või koodivigu? Tekita probleem või loo tõmbepäring.
Kas sul on ettepanekuid või oled leidnud trükivigu või koodi vigu? Tekita teema või loo pull-päring.
## Eriline tänu
## Eritähed
* **✍️ Peamine autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
* **✍️ Põhiautor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
* **🔥 Toimetaja:** [Jen Looper](https://twitter.com/jenlooper), PhD
* **🎨 Skeemijooniste illustraator:** [Tomomi Imura](https://twitter.com/girlie_mac)
* **🎨 Sketchnote illustratsioon:** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ Testide looja:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **🙏 Põhilised panustajad:** [Evgenii Pishchik](https://github.com/Pe4enIks)
* **🙏 Peamised panustajad:** [Evgenii Pishchik](https://github.com/Pe4enIks)
## Teised õppekavad
## Muud õppekavad
Meie meeskond toodab ka teisi õppekavu! Vaata:
Meie meeskond toodab teisi õppekavu! Vaata:
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
### LangChain
[![LangChain4j algajatele](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners)
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[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners)
[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
[![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 / Agentid
[![AZD algajatele](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 algajatele](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 algajatele](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 agentid algajatele](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)
[![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)
[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
---
### Generatiivse AI seeria
[![Generatiivne AI algajatele](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 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)
[![Generatiivne 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)
[![Generatiivne 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)
[![Generatiivne 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)
---
### Põhivõimalused õppimiseks
[![ML algajatele](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)
### Põhioskused
[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
[![Andmeteadus algajatele](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
[![AI algajatele](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)
[![Küberjulgeolek algajatele](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)
[![Veebiarendus algajatele](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 algajatele](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 arendus algajatele](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
[![XR arendamine algajatele](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)
---
### Copilot seeria
[![Copilot AI paarisprogrammeerimiseks](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)
### Copiloti seeria
[![Copilot AI paarisarendus](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 C#/.NET jaoks](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 seiklus](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
[![Copilot seiklused](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 -->
## Abi saamine
Kui jääd toppama või sul on AI rakenduste loomise kohta küsimusi, liitu teiste õppurite ja kogenud arendajatega MCP teemalistes aruteludes. See on toetav kogukond, kus küsimused on teretulnud ja teadmisi jagatakse vabalt.
Kui jääd hätta või sul on küsimusi AI rakenduste loomisel, liitu teiste õppijate ja kogenud arendajatega MCP aruteludes. See on toetav kogukond, kus küsimusi on teretulnud esitada ja teadmisi vabalt jagatakse.
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
Kui sul on toote tagasisidet või ehitamise ajal vigu, külasta:
Kui sul on toodete kohta tagasisidet või ehitamise käigus vigu, külasta:
[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
@ -228,5 +228,5 @@ Kui sul on toote tagasisidet või ehitamise ajal vigu, külasta:
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
**Vastutusest loobumine**:
See dokument on tõlgitud kasutades AI tõlketeenust [Co-op Translator](https://github.com/Azure/co-op-translator). Kuigi püüame täpsust, palun arvestage, et automaatsed tõlked võivad sisaldada vigu või ebatäpsusi. Originaaldokument oma algkeeles tuleks pidada autoriteetseks allikaks. Olulise teabe puhul soovitatakse kasutada professionaalset inimtõlget. Me ei vastuta käesoleva tõlke kasutamisest tingitud arusaamatuste või valesti mõistmiste eest.
See dokument on tõlgitud AI-tõlketeenuse [Co-op Translator](https://github.com/Azure/co-op-translator) abil. Kuigi püüame tagada täpsust, palun arvestage, et automaatsed tõlked võivad sisaldada vigu või ebatäpsusi. Originaaldokument selle algkeeles tuleks pidada autoriteetseks allikaks. Olulise teabe puhul soovitatakse kasutada professionaalset inimtõlget. Me ei vastuta selle tõlke kasutamisest tulenevate arusaamatuste või valesti mõistmiste eest.
<!-- CO-OP TRANSLATOR DISCLAIMER END -->

4
translations/pcm/.co-op-translator.json
View File

@ -6,8 +6,8 @@
"language_code": "pcm"
},
"README.md": {
"original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
"translation_date": "2026-02-28T08:52:24+00:00",
"original_hash": "12c8eb6bf0867d2f1c32daf613ac5b8b",
"translation_date": "2026-04-06T16:05:28+00:00",
"source_file": "README.md",
"language_code": "pcm"
},

78
translations/pcm/README.md
View File

@ -18,19 +18,18 @@
|:---:|
| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
Explore di world of **Artificial Intelligence** (AI) wit our 12-week, 24-lesson curriculum! E get practical lessons, quizzes, and labs. Di curriculum dey beginner-friendly and e cover tools like TensorFlow and PyTorch, plus ethics inside AI
Explore di world of **Artificial Intelligence** (AI) wit our 12-week, 24-lesson curriculum! E get practical lessons, quizzes, and labs. Di curriculum dey beginner-friendly and e cover tools like TensorFlow and PyTorch, plus ethics for AI
### 🌐 Multi-Language Support
#### Supported via GitHub Action (Automated & Always Up-to-Date)
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](./README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Khmer](../km/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](./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)
> **You prefer make you Clone am for your machine?**
> **Prefer to Clone Locally?**
>
> Dis repo get 50+ language translations wey go make di download size big well-well. If you want clone am without translations, use sparse checkout:
> Dis repository get 50+ language translations wey go make di download size big. If you wan clone without di translations, use sparse checkout:
>
> **Bash / macOS / Linux:**
> ```bash
@ -46,10 +45,10 @@ Explore di world of **Artificial Intelligence** (AI) wit our 12-week, 24-lesson
> git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
> ```
>
> Dis go give you everything to complete di course wey go download sharp-sharp.
> Dis one go give you everything wey you need to finish di course with beta download speed.
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
**If you wan make we support more translation languages, you fit find dem [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
**If you want make we add more translation languages dem wey dey listed [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
## Join di Community
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
@ -60,23 +59,23 @@ Explore di world of **Artificial Intelligence** (AI) wit our 12-week, 24-lesson
For dis curriculum, you go learn:
* Different waya dem dey take handle Artificial Intelligence, including di "good old" symbolic way with **Knowledge Representation** and reasoning ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
* **Neural Networks** and **Deep Learning**, wey be di core of modern AI. We go show the basic tin dem for dis important topics by using code inside two of di most popular frameworks - [TensorFlow](http://Tensorflow.org) and [PyTorch](http://pytorch.org).
* **Neural Architectures** for workin wit images and text. We go cover recent models but fit be e no too dey up-to-date on state-of-the-art.
* Less popular AI ways, like **Genetic Algorithms** and **Multi-Agent Systems**.
* Different ways to take do Artificial Intelligence, including di "good old" symbolic style wit **Knowledge Representation** and reasoning ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
* **Neural Networks** and **Deep Learning**, wey be di main tin for modern AI. We go explain di ideas behind dem using code for two of di most popular frameworks - [TensorFlow](http://Tensorflow.org) and [PyTorch](http://pytorch.org).
* **Neural Architectures** wey dem dey use to work wit images and text. We go cover recent models but fit no too up-to-date with di latest beta.
* Other less popular AI ways like **Genetic Algorithms** and **Multi-Agent Systems**.
Wetin we no go cover for dis curriculum:
Wet we no go cover for dis curriculum:
> [Find all additional resources for this course in our Microsoft Learn collection](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
* Business cases of using **AI in Business**. You fit consider to take [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) learning path for Microsoft Learn, or [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), wey dem develop join hand with [INSEAD](https://www.insead.edu/).
* **Classic Machine Learning**, wey well describe for our [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
* Practical AI applications wey dem build using **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. For dis one, we recommend say you start with modules for Microsoft Learn about [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** and others.
* Specific ML **Cloud Frameworks**, like [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), or [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). You fit use [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) and [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) learning paths.
* **Conversational AI** and **Chat Bots**. E get separate [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) learning path, and you fit also check [dis blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for more detail.
* **Deep Mathematics** behind deep learning. For dis one, we recommend say you check [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) by Ian Goodfellow, Yoshua Bengio and Aaron Courville, wey also dey online at [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
* Business use cases for **AI in Business**. Try consider to take [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) learning path for Microsoft Learn, or [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), wey dem create together with [INSEAD](https://www.insead.edu/).
* **Classic Machine Learning**, wey well explain for our [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
* Practical AI apps wey dem build using **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. For dis one, we recommend you start with di Microsoft Learn modules for [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** and others.
* Specific ML **Cloud Frameworks**, like [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), or [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Make you try use [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) and [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) learning paths.
* **Conversational AI** and **Chat Bots**. Dem get separate [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) learning path, and you fit also check [this blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for more detail.
* **Deep Mathematics** wey dey behind deep learning. For dis one, we go recommend [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) book by Ian Goodfellow, Yoshua Bengio and Aaron Courville, wey you fit also find online at [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
For gentle introduction to _AI in the Cloud_ topics, you fit consider to take the [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) Learning Path.
If na soft introduction to _AI in the Cloud_ topics you want, you fit consider to take [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) Learning Path.
# Content
@ -117,52 +116,51 @@ For gentle introduction to _AI in the Cloud_ topics, you fit consider to take th
| IX | **Extras** | | |
| 25 | [Multi-Modal Networks, CLIP and VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
## Each lesson get inside
## Each lesson get inside am
* Pre-reading material
* Executable Jupyter Notebooks, wey dem dey usually make for di framework (**PyTorch** or **TensorFlow**). Di executable notebook still get plenti theoretical material, so if you wan understand di topic you must run through at least one version of di notebook (na PyTorch or TensorFlow).
* **Labs** wey dem get for some topics, wey go give you chance to try apply di material wey you don learn to one kain problem.
* Some sections get links go [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modules wey cover related topics.
* Executable Jupyter Notebooks, wey dem dey usually make for one framework (**PyTorch** or **TensorFlow**). The executable notebook still get plenty theoretical material, so to sabi the topic you gats waka through at least one version of the notebook (whether Na PyTorch or TensorFlow).
* **Labs** wey dey for some topics, wey go give you chance to try apply the material wey you don learn to one specific problem.
* Some sections get links to [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modules wey cover related topics.
## Getting Started
### 🎯 New to AI? Start Here!
If you never sabi AI before and you want quick, hands-on examples, make you check our [**Beginner-Friendly Examples**](./examples/README.md)! Dem get:
If you be complete new for AI and you want quick, hands-on examples, check out our [**Beginner-Friendly Examples**](./examples/README.md)! These ones include:
- 🌟 **Hello AI World** - Your first AI program (pattern recognition)
- 🧠 **Simple Neural Network** - Build neural network from scratch
- 🖼️ **Image Classifier** - Classify images wit detailed comments
- 🧠 **Simple Neural Network** - Make neural network from scratch
- 🖼️ **Image Classifier** - Classify images with detailed comments
- 💬 **Text Sentiment** - Analyze positive/negative text
These examples dem dey make to help you understand AI concepts before you go full-ground for di curriculum.
These examples dem design to help you understand AI concepts before you enter full curriculum.
### 📚 Full Curriculum Setup
- We create one [setup lesson](./lessons/0-course-setup/setup.md) to help you set up your development environment. - For Educators, we also create one [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) for you!
- How to [Run the code inside VSCode or Codespace](./lessons/0-course-setup/how-to-run.md)
- We don make one [setup lesson](./lessons/0-course-setup/setup.md) to help you set up your development environment. - For Educators, we still don make one [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) for you too!
- How to [Run the code for VSCode or Codespace](./lessons/0-course-setup/how-to-run.md)
Follow these steps:
Fork the Repository: Click the "Fork" button for the top-right corner of this page.
Fork the Repository: Click the "Fork" button wey dey top-right corner of this page.
Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git`
No forget to star (🌟) this repo to make am easy to find later.
No forget to star (🌟) this repo to make e easy to find later.
## Meet other Learners
Join our [official AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) make you meet and network with other learners wey dey do this course and get support.
Join our [official AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) to meet and network with other learners wey dey do this course and get support.
If you get product feedback or questions while you dey build, make you visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
If you get product feedback or questions as you dey build visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
## Quizzes
> **A note about quizzes**: All quizzes dey inside Quiz-app folder for etc\quiz-app, or [Online Here](https://ff-quizzes.netlify.app/) Dem dey link inside the lessons, and di quiz app fit run locally or deploy for Azure; follow di instruction wey dey `quiz-app` folder. Dem dey slowly dey localize.
> **A note about quizzes**: All quizzes dey for the Quiz-app folder inside etc\quiz-app, or [Online Here](https://ff-quizzes.netlify.app/) Dem link am from inside the lessons. The quiz app fit run locally or e fit deploy for Azure; just follow the instruction wey dey the `quiz-app` folder. Dem dey gradually dey localize am.
## Help Wanted
You get suggestions or find spelling or code error? Make you raise issue or create pull request.
You get suggestions or you don find spelling or code errors? Raise issue or create pull request.
## Special Thanks
@ -174,7 +172,7 @@ You get suggestions or find spelling or code error? Make you raise issue or crea
## Other Curricula
Our team dey produce other curricula! Make you check:
Our team dey produce other curricula! Check am out:
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
### LangChain
@ -218,11 +216,11 @@ Our team dey produce other curricula! Make you check:
## Getting Help
If you jam stuck or you get any question about how to build AI apps. Make you join other learners and experience developers for discussions about MCP. Na supportive community where questions dem dey welcome and knowledge dem dey share freely.
If you jam problem or you get any questions about how to build AI apps. Come join other learners and developers wey get experience for MCP discussions. Na supportive community wey questions dey welcome and knowledge dey share free freely.
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
If you get product feedback or errors while you dey build, make you visit:
If you get product feedback or find error while you dey build, visit:
[![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)
@ -230,5 +228,5 @@ If you get product feedback or errors while you dey build, make you visit:
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
**Disclaimer**:
Dis document na AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) wey translate am. Even though we dey try make am correct, abeg sabi say automated translation fit get some wahala or mistake. Di original document wey dem write for im own language na di main correct version. If na serious info, make you use professional human translation. We no go take blame if person no understand or misunderstand correct because of dis translation.
Dis document don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even though we dey try make am correct, abeg sabi say automated translation fit get mistake or no too clear. The original document wey e dey for ground language na im get authority pass. For important info, e better to use professional human translation. We no go take any blame if person misunderstand or misinterpret anything wey come from this translation.
<!-- CO-OP TRANSLATOR DISCLAIMER END -->

4
translations/te/.co-op-translator.json
View File

@ -6,8 +6,8 @@
"language_code": "te"
},
"README.md": {
"original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
"translation_date": "2026-02-28T08:54:49+00:00",
"original_hash": "12c8eb6bf0867d2f1c32daf613ac5b8b",
"translation_date": "2026-04-06T16:08:14+00:00",
"source_file": "README.md",
"language_code": "te"
},

225
translations/te/README.md
View File

@ -12,175 +12,176 @@
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
# ప్రారంభకులకు ఆర్టిఫిషియల్ ఇంటెలిజెన్స్ - ఒక పాఠ్య‌క్రమం
# ప్రారంభ దశకు కృత్రిమ బుద్ధి - ఒక పాఠ్యಕ್ರಮం
|![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 - _స్కెచ్‌నోట్ [@girlie_mac](https://twitter.com/girlie_mac)వద్ద‌నే_ |
| ప్రారంభ దశకు కృత్రిమ బుద్ధి - _స్కెచ్ నోట్ [@girlie_mac](https://twitter.com/girlie_mac) గారి ద్వారా_ |
మా 12వారం, 24 పాఠాల పాఠ్యक्रमంలో **కృత్రిమ బుద్ధి** (AI) ప్రపంచాన్ని అన్వేషించండి! దీనిలో ప్రాక్టికల్ పాఠాలు, క్విజ్లు మరియు ప్రయోగశాలలు ఉన్నాయి. ఈ పాఠ్యক্রমం ప్రారంభ దశకు స్నేహపూర్వకంగా ఉంది మరియు TensorFlow మరియు PyTorch వంటి టూల్స్‌తో పాటు AI లో నైతికతలను కప్పుతుంది.
మా 12-వారాల, 24-పాఠాల పాఠ్యక్రమంతో **కృతిమ మేధ** (AI) ప్రపంచాన్ని అన్వేషించండి! దీంట్లో సాంప్రదాయ పాఠాలు, ప్రశ్నోత్తరాలు మరియు ప్రయోగశాలలు ఉన్నాయి. ఈ పాఠ్యక్రమం ప్రారంభకులకు అనుకూలంగా ఉంది మరియు TensorFlow మరియు PyTorch వంటి టూల్స్ తో పాటు AIలో నీతిశాస్త్రం కూడా కవర్ చేస్తుంది.
### 🌐 బహుభాషా మద్దతు
#### GitHub కార‌య‌క్రమం ద్వారా మద్దతు పొందింది (స్వయంచాలితంగా & ఎప్పుడూ నవీకరించబడుతుంది)
#### GitHub Action ద్వారా మద్దతు (స్వయంచాలకంగా & ఎప్పుడూ తాజా)
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../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](./README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Khmer](../km/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../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](./README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
> **స్థానిక‌గా క్లోన్ చేయాలనుకుంటున్నారా?**
> **స్థానికంగా క్లోన్ చేయాలని ఇష్టపడుతున్నారా?**
>
> ఈ రిపోజిటరీలో 50+ భాషా అనువాదాలు ఉన్నాయి, ఇది డౌన్‌లోడ్ పరిమాణాన్ని గణనీయంగా పెంచుతుంది. అనువాదాలు లేకుండా క్లోన్ చేయడానికి, స్పార్స్ చెక్అవుట్ ఉపయోగించండి:
> ఈ రేపోజిటరీ 50+ భాషా అనువాదాలను కలిగి ఉంది, ఇది డౌన్‌లోడ్ పరిమాణాన్ని గణనీయంగా పెంచుతుంది. అనువాదాలు లేకుండా క్లోన్ చేయడానికి, స్పార్సు చెకౌట్ ను ఉపయోగించండి:
>
> **Bash / macOS / Linux:**
> **బాష్ / macOS / లినక్స్:**
> ```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'
> ```
>
> **CMD (Windows):**
> **CMD (విండోస్):**
> ```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"
> ```
>
> దీని ద్వారా మీరు కోర్సును పూర్తిచేసేందుకు అవసరమైన అన్ని అంశాలను నెమ్మదిగా కాకుండా వేగంగా డౌన్లోడ్ చేసుకోవచ్చు.
> ఇది మీరు కోర్సును పూర్తిచేయడానికి అవసరమైన అన్ని అంశాలను చాలా వేగంగా డౌన్లోడ్ చేస్తుంది.
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
**మీకు అదనపు అనువాద భాషల మద్దతు కావాలంటే అవి ఇక్కడ [listed](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) ఉన్నాయి**
**మీరు అదనపు భాషా అనువాదాలను కోరుకుంటే అవి [ఇక్కడ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) జాబితాలో ఉన్నాయి**
## కమ్యూనిటీ లో చేరండి
## కమ్యునిటీలో చేరండి
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
## మీరు నేర్చుకునేది
## మీరు నేర్చుకునే విషయాలు
**[కోర్సు మైండ్మ్యాప్](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
**[కోర్సు మైండ్ మ్యాప్](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
ఈ పాఠ్యక్రమంలో మీరు నేర్చుకునేది:
ఈ పాఠ్యక్రమంలో మీరు నేర్చుకోబోతున్నవాటిలో:
* ఆర్టిఫిషియల్ ఇంటెలిజెన్స్‌కు వివిధ దృక్పథాలు, సహా "గుడ్ ఓల్డ్" సాంయ‌మిక దృక్పథం కంటే **జ్ఞాన ప్రాతినిధ్యం** మరియు తార్కిక పరిశీలన ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
* సమకాలీన AIలో ఆధారంగా ఉన్న **న్యూరల్ నెట్‌వర్క్స్** మరియు **డీప్ లెర్నింగ్**. ఈ ముఖ్య విషయాలను రెండు ప్రాచుర్యం పొందిన ఫ్రేమ్‌వర్క్‌లలో - [TensorFlow](http://Tensorflow.org) మరియు [PyTorch](http://pytorch.org) - కోడ్ సహాయంతో వివరించబోతున్నాము.
* చిత్రాలు మరియు పాఠ్యంతో పనిచేసే **న్యూరల్ ఆర్కిటెక్చర్స్**. మేము తాజా మోడల్స్‌ను కవర్ చేస్తాము, కానీ కొంతమేర ఆధునికతకు కూడా కొంచెం కొరత ఉండవచ్చు.
* తక్కువ ప్రసిద్ధి గల AI దృక్పథాలు, వంటి **జెనటికల్ అల్గొరిథమ్స్** మరియు **మల్టీ ఏజెంట్ సిస్టమ్స్**.
* కృత్రిమ బుద్ధి (AI) కు వివిధ విధానాలు, వాటిలో "చాలా పాత" చిహ్నాత్మక విధానం ***జ్ఞానాత్మక ప్రాతినిధ్యం*** మరియు నిర్ణయాల తీర్మానం ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)) సహా.
* ఆధునిక AI మూ‍లమైన **న్యూరల్ నెట్‌వర్క్‌లు** మరియు **డీప్ లెర్నింగ్**. ఈ ముఖ్యమైన విషయాల వెనుక కాన్సెప్ట్‌లను రెండు ప్రముఖ ఫ్రేమ్‌వర్క్‌లలో కోడ్ ఉపయోగించి వివరించబడతాయి - [TensorFlow](http://Tensorflow.org) మరియు [PyTorch](http://pytorch.org).
* చిత్రాలు మరియు పాఠ్యంతో పని చేసే **న్యూరల్ ఆర్కిటెక్చర్స్**. మేము తాజా మోడల్స్‌ను కవర్ చేస్తాము, కానీ స్తితిపై కొంత ఆలస్యంగా ఉండవచ్చు.
* తక్కువ ప్రాచుర్యం ఉన్న AI విధానాలు, ఉదాహరణకు **జెనటిక్ అల్గోరిథమ్స్** మరియు **బహుళ-ఏజెంట్ సిస్టమ్స్**.
ఈ పాఠ్యక్రమంలో మేము కవర్ చేయని విషయాలు:
ఈ పాఠ్యక్రమంలో మేము కవర్ చేయనివి:
> [ఈ కోర్సుకు సంబంధించిన అన్ని అదనపు వనరులను మా Microsoft Learn సేకరణలో కనుగొనండి](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
> [ఈ కోర్సుకి సంబంధించిన అదనపు వనరులను మా Microsoft Learn సేకరణలో కనుగొనండి](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
* వ్యాపారాల్లో ఉపయోగించే **AI వ్యాపార కేసులు**. Microsoft Learnలో [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) లెర్నింగ్ పాత్ లేదా [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), [INSEAD](https://www.insead.edu/)తో కలిసి అభివృద్ధి చేయబడినవి.
* **క్లాసిక్ మెషీన్ లెర్నింగ్**, ఇది మన [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners)లో బాగా వివరించబడింది.
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ఉపయోగించి రూపొందించిన ప్రాక్టికల్ AI అప్లికేషన్లు. ఇందుకోసం, Microsoft Learn మాడ్యూల్స్ ద్వారా [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** మరియు ఇతరులను మొదలుపెట్టాలని మేము సిఫార్సు చేస్తాము.
* [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), లేదా [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum) వంటి ప్రత్యేకమైన మెషీన్ లెర్నింగ్ **క్లౌడ్ ఫ్రేమ్‌వర్క్‌లు**. [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), [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) లెర్నింగ్ పాథ్‌లను ఉపయోగించాలని సూచిస్తున్నాము.
* **కథన AI** మరియు **చాట్ బాట్లు**. దీనికి ప్రత్యేకమైన [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) లెర్నింగ్ పాథ్ ఉంది, ఇంకా మీరు [ఈ బ్లాగ్ పోస్ట్](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ను కూడా చూడవచ్చు.
* డీప్ లెర్నింగ్ వెనుక తగిన **గణితం**. ఇది కోసం Ian Goodfellow, Yoshua Bengio మరియు Aaron Courville రచించిన [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) పుస్తకాన్ని మేము సిఫార్సు చేయగలము, ఇది ఆన్‌లైన్‌ లో కూడా [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) వద్ద అందుబాటులో ఉంది.
* **వ్యవసాయంలో AI** ఉపయోగాల వ్యాపార ఉదాహరణలు. మీరు [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) Microsoft Learnలోని పాఠ్యాన్ని లేదా [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), [INSEAD](https://www.insead.edu/)తో సహకారంగా అభివృద్ధి చేయబడింది, తీసుకోవచ్చు.
* **సాంప్రదాయ మెషీన్ లెర్నింగ్**, ఇది మా [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) లో బాగా వివరించబడింది.
* **[కాగ్నిటివ్ సర్వీసెస్](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ఉపయోగించి నిర్మించబడిన ప్రాక్టికల్ AI అప్లికేషన్లు. దీని కొరకు, మీరు Microsoft Learn లోని [విజన్](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [నేచురల్ లాంగ్వేజ్ ప్రాసెసింగ్](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI Service తో జనరేటివ్ AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** మరియు ఇతర మాడ్యూల్స్ ప్రారంభించడానికి సిఫార్సు చేస్తాము.
* [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), లేదా [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum) వంటి నిర్దిష్ట మీడియాన ML క్లౌడ్ ఫ్రేమ్‌వర్క్స్. మీరు [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) మరియు [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) పాఠ్యాల‌ను ఉపయోగించుకోవచ్చును.
* **కథానాయక AI** మరియు **చాట్ బొట్స్**. ప్రత్యేకంగా [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) పాఠ్యమాల ఉంది, అలాగే మరింత వివరాలకు మీరు [ఈ బ్లాగ్ పోస్ట్](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ను చూడవచ్చు.
* డీప్ లెర్నింగ్ వెనుక ఉన్న **గొప్ప గణితం**. దీనికి, ఇండియన్ గూడ్ఫెల్లో, యోషువా బెన్జియో, మరియు ఆరోన్ కౌర్విల్ రాసిన [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) పుస్తకాన్ని సూచిస్తాము, ఇది ఆన్‌లైన్లో కూడా లభ్యమవుతుంది [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
_క్లౌడ్‌లో AIకి సున్నితమైన పరిచయం కోసం_, మీరు [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) లెర్నింగ్ పాథ్‌ను పరిశీలించవచ్చు.
_క్లౌడ్ లో AI కి స్నేహపూర్వక పరిచయమైనది కావాలనుకుంటే, మీరు [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) లెర్నింగ్ పాథ్ తీసుకోండి._
# కంటెంట్
# సమగ్ర విషయాలు
| | పాఠం లింక్ | PyTorch/Keras/TensorFlow | ప్రయోగశాల |
| | పాఠం లింక్ | PyTorch/Keras/TensorFlow | ల్యాబ్ |
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
| 0 | [పాఠ్యक्रमం సెట్ అప్](./lessons/0-course-setup/setup.md) | [మీ అభివృద్ధి వాతావరణాన్ని సెట్ చేయండి](./lessons/0-course-setup/how-to-run.md) | |
| I | [**AI పరిచయం**](./lessons/1-Intro/README.md) | | |
| 0 | [కోర్సు సెటప్](./lessons/0-course-setup/setup.md) | [మీ అభివృద్ధి వాతావరణం సెటప్ చేయండి](./lessons/0-course-setup/how-to-run.md) | |
| I | [**AI కి పరిచయం**](./lessons/1-Intro/README.md) | | |
| 01 | [AI పరిచయం మరియు చరిత్ర](./lessons/1-Intro/README.md) | - | - |
| II | **ప్రతీకాత్మక AI** |
| 02 | [జ్ఞాన ప్రతినిధానం మరియు నిపుణుల వ్యవస్థలు](./lessons/2-Symbolic/README.md) | [నిపుణుల వ్యవస్థలు](./lessons/2-Symbolic/Animals.ipynb) / [ఆంటాలజీ](./lessons/2-Symbolic/FamilyOntology.ipynb) /[ధారాణిక గ్రాఫ్](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| III | [**న్యూరల్ నెట్‌వర్క్‌ల పరిచయం**](./lessons/3-NeuralNetworks/README.md) |||
| 03 | [పర్సెప్ట్రోన్](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [సూచి పుస్తకం](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [ప్రయోగశాల](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [బహుళ-పట్టీ పర్సెప్ట్రోన్ మరియు మన స్వంత ఫ్రేమ్‌వర్క్ సృష్టించడం](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [సూచి పుస్తకం](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [ప్రయోగశాల](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [ఫ్రేమ్‌వర్క్స్ (PyTorch/TensorFlow) మరియు ఒవర్‌ఫిట్టింగ్ పరిచయం](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [పైటార్చ్](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [కేరాస్](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [టెన్సర్ఫ్లో](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ప్రయోగశాల](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV | [**కంప్యూటర్ విజన్**](./lessons/4-ComputerVision/README.md) | [పైటార్చ్](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [టెన్సర్ఫ్లో](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [మైক্রోసాఫ్ట్ అజ్యూర్‌పై కంప్యూటర్ విజన్ అన్వేషించండి](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 06 | [కంప్యూటర్ విజన్ పరిచయం. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [సూచి పుస్తకం](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [ప్రయోగశాల](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
| 07 | [కన్వల్యూషనల్ న్యూరల్ నెట్‌వర్క్లు](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN నిర్మాణాలు](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [పైటార్చ్](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[టెన్సర్ఫ్లో](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [ప్రయోగశాల](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 08 | [మునుపటి శిక్షణ పొందిన నెట్‌వర్క్లు మరియు ట్రాన్స్ఫర్ లెర్నింగ్](./lessons/4-ComputerVision/08-TransferLearning/README.md) మరియు [శిక్షణ ట్రిక్స్](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [పైటార్చ్](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [టెన్సర్ఫ్లో](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ప్రయోగశాల](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 09 | [ఆటోఎంకోడర్స్ మరియు VAEలు](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [పైటార్చ్](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [టెన్సర్ఫ్లో](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
| 10 | [జెనెరేటివ్ అడ్వర్సరియల్ నెట్‌వర్క్స్ & కళాత్మక శైలి బదిలీ](./lessons/4-ComputerVision/10-GANs/README.md) | [పైటార్చ్](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [టెన్సర్ఫ్లో](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 11 | [వీటిని గుర్తించడం](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [టెన్సర్ఫ్లో](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [ప్రయోగశాల](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
| 12 | [సామాంటిక్ విభజన. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [పైటార్చ్](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [టెన్సర్ఫ్లో](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
| V | [**ప్రाकृतिक భాషా ప్రాసెసింగ్**](./lessons/5-NLP/README.md) | [పైటార్చ్](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[టెన్సర్ఫ్లో](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [మైక్రోసాఫ్ట్ అజ్యూర్‌పై ప్రకృతిభాషా ప్రాసెసింగ్ అన్వేషించండి](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 13 | [పాఠ్య ప్రాతినిధ్యం. బో/టీఎఫ్-ఐడీఎఫ్](./lessons/5-NLP/13-TextRep/README.md) | [పైటార్చ్](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [టెన్సర్ఫ్లో](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
| 14 | [సామాంటిక్ వర్డ్ ఎంబెడ్డింగ్స్. వర్డ్2వెక్ మరియు గ్లోవ్](./lessons/5-NLP/14-Embeddings/README.md) | [పైటార్చ్](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [టెన్సర్ఫ్లో](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
| 15 | [భాషా మోడలింగ్. మీ స్వంత ఎంబెడ్డింగ్స్ శిక్షణ](./lessons/5-NLP/15-LanguageModeling/README.md) | [పైటార్చ్](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [టెన్సర్ఫ్లో](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [ప్రయోగశాల](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 16 | [రికరెంట్ న్యూరల్ నెట్‌వర్క్లు](./lessons/5-NLP/16-RNN/README.md) | [పైటార్చ్](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [టెన్సర్ఫ్లో](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
| 17 | [జెనెరేటివ్ రికరెంట్ నెట్‌వర్క్లు](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [పైటార్చ్](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [టెన్సర్ఫ్లో](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [ప్రయోగశాల](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
| 18 | [ట్రాన్స్‌ఫార్మర్స్. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [పైటార్చ్](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[టెన్సర్ఫ్లో](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
| 19 | [పేరు గుర్తింపు](./lessons/5-NLP/19-NER/README.md) | [టెన్సర్ఫ్లో](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [ప్రయోగశాల](./lessons/5-NLP/19-NER/lab/README.md) |
| 20 | [పెద్ద భాషా మోడల్స్, ప్రాంప్ట్ ప్రోగ్రామింగ్ మరియు ఫ్యూ-షాట్ టాస్కులు](./lessons/5-NLP/20-LangModels/README.md) | [పైటార్చ్](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| VI | **ఇతర AI సాంకేతికతలు** || |
| 21 | [జెనెటిక Algorithms](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [సూచి పుస్తకం](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
| 22 | [డీప్ రీఇన్ఫోర్స్‌మెంట్ లెర్నింగ్](./lessons/6-Other/22-DeepRL/README.md) | [పైటార్చ్](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[టెన్సర్ఫ్లో](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [ప్రയോഗశాల](./lessons/6-Other/22-DeepRL/lab/README.md) |
| 23 | [బహు-ఎజెంట్ వ్యవస్థలు](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| II | **చిహ్నాత్మక AI** |
| 02 | [జ్ఞాన ప్రాతినిధ్యం మరియు నిపుణుల వ్యవస్థలు](./lessons/2-Symbolic/README.md) | [నిపుణుల వ్యవస్థలు](./lessons/2-Symbolic/Animals.ipynb) / [ఆంటాలజీ](./lessons/2-Symbolic/FamilyOntology.ipynb) /[కన్సెప్ట్ గ్రాఫ్](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| III | [**నెరువల్ నెట్‌వర్క్‌ల కు పరిచయం**](./lessons/3-NeuralNetworks/README.md) |||
| 03 | [పర్సెప్ట్రాన్](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [నోట్‌బుక్](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [ల్యాబ్](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [మల్టీ-లేయర్డ్ పర్సెప్ట్రాన్ మరియు మన స్వంత ఫ్రేమ్‌వర్క్ సృష్టి](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [నోట్‌బుక్](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [ల్యాబ్](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [ఫ్రేమ్‌వర్క్‌లకు పరిచయం (PyTorch/TensorFlow) మరియు అధికపరిణామం](./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) | [ల్యాబ్](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV | [**కంప్యూటర్ విజన్**](./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 Azureపై కంప్యూటర్ విజన్ ఎక్స్‌ప్లోర్ చేయండి](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 06 | [కంప్యూటర్ విజన్ కు పరిచయం. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [నోట్‌బుక్](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [ల్యాబ్](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
| 07 | [కొన్వల్యూషనల్ నెరువల్ నెట్‌వర్క్‌లు](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN వాస్తవాలు](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [ల్యాబ్](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 08 | [ప్రీ-ట్రెయిన్ చేసిన నెట్‌వర్క్‌లు మరియు ట్రాన్స్‌ఫర్ లెర్నింగ్](./lessons/4-ComputerVision/08-TransferLearning/README.md) మరియు [ట్రెయిన్ ట్రిక్స్](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ల్యాబ్](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 09 | [ఆటోఎంకోడర్స్ మరియు VAEలు](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
| 10 | [జెనరేటివ్ అడ్వర్సేరియల్ నెట్‌వర్క్‌లు & కళాత్మక శైలి బదిలీ](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 11 | [వస్తువు గుర్తింపు](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [ల్యాబ్](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
| 12 | [సెమాంటిక్ విభజన. 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 | [**సహజ భాషా ప్రాసెసింగ్**](./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 Azureపై సహజ భాషా ప్రాసెసింగ్ అన్వేషించండి](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 13 | [పాఠ్య ప్రాతినిధ్యం. 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 | [సెమాంటిక్ పద ఎంబెడ్డింగ్స్. Word2Vec మరియు 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 | [భాషా మోడలింగ్. మీ స్వంత ఎంబెడ్డింగ్స్ ట్రెయిన్ చేయడం](./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) | [ల్యాబ్](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 16 | [రికరెంట్ నెరువల్ నెట్‌వర్క్‌లు](./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 | [జెనరేటివ్ రికరెంట్ నెట్‌వర్క్‌లు](./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) | [ల్యాబ్](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
| 18 | [ట్రాన్స్‌ఫార్మర్‌లు. 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 | [నేమ్డ్ ఎంటిటీ రికగ్నిషన్](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [ల్యాబ్](./lessons/5-NLP/19-NER/lab/README.md) |
| 20 | [పెద్ద భాషా మోడల్స్, ప్రాంప్ట్ ప్రోగ్రామింగ్ మరియు ఫ్యూ-షాట్ టాస్కులు](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| VI | **ఇతర AI సాంకేతిక పద్ధతులు** || |
| 21 | [జెనెటిక్ ఆల్గోరిథమ్‌లు](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [నోట్‌బుక్](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
| 22 | [డీప్ రీన్ఫోర్స్మెంట్ లెర్నింగ్](./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) | [ల్యాబ్](./lessons/6-Other/22-DeepRL/lab/README.md) |
| 23 | [మల్టీ-ఏజెంట్ వ్యవస్థలు](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| VII | **AI నైతికత** | | |
| 24 | [AI నైతికత మరియు బాధ్యతాయుత AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: బాధ్యతాయుత AI ప్రిన్సిపిల్స్](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX | **అత్యధికాలు** | | |
| 25 | [బహు-మాదిరి నెట్‌వర్క్లు, CLIP మరియు VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [సూచి పుస్తకం](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
| 24 | [AI నైతికత మరియు బాధ్యతగల AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: బాధ్యతగల AI సూత్రాలు](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX | **అదనపు విషయాలు** | | |
| 25 | [మల్టీ-మోడల్ నెట్‌వర్క్స్, CLIP మరియు VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [నోట్‌బుక్](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
## ప్రతి పాఠం కలిగించు
* ముందస్తు పఠన పదార్థం
* అమలు చేయదగిన Jupyter నోట్బుక్స్, ఇవి చాలా సార్లు ఫ్రేమ్‌వర్క్‌కు నిర్దిష్టమైనవి (**PyTorch** లేదా **TensorFlow**). అమలు చేసే నోట్బుక్‌లో కూడా చాలా సిద్ధాంత ప్రయోగ పదార్థం ఉంటుంది, కాబట్టి అంశాన్ని అర్థం చేసుకోవడానికి మీరు కనీసం ఒక వర్షన్‌ను (PyTorch లేదా TensorFlow) చదవాలి.
* కొన్ని అంశాలకు అందుబాటులో ఉన్న **ల్యాబ్‌లు**, ఇవి మీరు నేర్చుకున్న పదార్థాన్ని ఒక నిర్దిష్ట సమస్యపై ప్రయోగం చేయడానికి ఒక అవకాశం ఇస్తాయి.
* కొన్ని విభాగాలలో సంబంధిత అంశాలను కవర్ చేసే [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) మోడ్యూల్ లింకులు ఉన్నాయి.
## ప్రతి పాఠం లో ఏముంటుంది
* ముందుగా చదవాల్సిన పదార్థం
* సాధ్యమయ్యే Jupyter నోట్‌బుక్స్, ఇవి తరచుగా ఫ్రేమ్‌వర్క్‌కు ప్రత్యేకంగా ఉంటాయి (**PyTorch** లేదా **TensorFlow**). ఈ నోట్‌బుక్ కూడా చాలా స 이ట<EC9DB4><E0B09F>ిక పదార్థాన్ని కలిగి ఉంటుంది, కాబట్టి విషయం అర్థం చేసుకోవడానికి మీరు కనీసం ఒక వెర్షన్ (PyTorch లేదా TensorFlow) నోట్‌బుక్ చూసుకోవాలి.
* కొన్ని విషయాలకు అందుబాటులో ఉన్న **ల్యాబ్స్**, అవి మీరు నేర్చుకున్న పదార్థాన్ని ప్రత్యేక సమస్యకు అన్వయించడానికి అవకాశం ఇస్తాయి.
* కొన్ని విభాగాల్లో సంబంధిత విషయాలను కవర్చే [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) మాడ్యూల్‌లకి లింకులు ఉంటాయి.
## ప్రారంభించటం
## ప్రారంభం
### 🎯 AIలో కొత్తవారా? ఇక్కడినుంచి ప్రారంభించండి!
### 🎯 AIలో కొత్తవారా? ఇక్కడ ప్రారంభించండి!
మీరు AIలో పూర్తిగా కొత్తవారైతే మరియు త్వరిత, ప్రత్యక్ష ఉదాహరణలు కావాలంటే, మా [**అరంభకులు-స్నేహపూర్వక ఉదాహరణలు**](./examples/README.md) చూడండి! వీటిలో:
మీరు పూర్తి కొత్తవారు అయితే మరియు త్వరిత, హ్యాండ్-ఆన్ ఉదాహరణలు కావాలనుకుంటే, మా [**ఆరంభదశకు అనుకూలమైన ఉదాహరణలు**](./examples/README.md) చూడండి! వీటిలో:
- 🌟 **Hello AI World** - మీ మొదటి AI ప్రోగ్రామ్ (నమూనా గుర్తింపు)
- 🧠 **సాధారణ న్యూరల్ నెట్‌వర్క్** - స్క్రాచ్ నుండి న్యూరల్ నెట్‌వర్క్ రూపొందించండి
- 🖼️ **చిత్ర వర్గీకర్త** - వివరమైన కామెంట్లతో చిత్రాలను వర్గీకరించండి
- 💬 **టెక్స్‌ట్ సెంటిమెంట్** - సానుకూల/ప్రతికూల టెక్స్ట్‌ను విశ్లేషించండి
- 🌟 **హలో AI వరల్డ్** - మీ మొదటి AI ప్రోగ్రామ్ (నమూనా గుర్తింపు)
- 🧠 **సాదా న్యూట్రల్ నెట్‌వర్క్** - క్రింద నుంచి న్యూట్రల్ నెట్‌వర్క్ నిర్మించండి
- 🖼️ **ఇమేజ్ క్లాసిఫైయర్** - వివరమైన వ్యాఖ్యలతో చిత్రాలను వర్గీకరించండి
- 💬 **పాఠ్య భావన** - సానుకూల/నెగెటివ్ పాఠ్యాన్ని విశ్లేషించండి
ఈ ఉదాహరణలు పూర్తి పాఠ్యపుస్తకంలోకి అగులుతున్న ముందు AI సూత్రాలను అర్థం చేసుకోవడానికి రూపొందించబడ్డవి.
ఈ ఉదాహరణలు పూర్తి పాఠ్యక్రమంలోకి చేరకుండా ముందే AI కాన్సెప్ట్‌లు అర్థం చేసుకునేందుకు రూపొందించబడ్డాయి.
### 📚 పూర్తి పాఠ్యక్రమం సెట్-అప్
### 📚 పూర్తి పాఠ్యక్రమం సెటప్
- మీ అభివృద్ధి పరిసరాన్ని సెట్ అప్ చేయడానికి మా వద్ద ఒక [సెట్-అప్ పాఠం](./lessons/0-course-setup/setup.md) తయారుచేసాం.
- శిక్షకుల కోసం కూడా మేము ఒక [పాఠ్యక్రమం సెట్-అప్ పాఠం](./lessons/0-course-setup/for-teachers.md) తయారుచేశాము!
- [VSCode లేదా Codespaceలో కోడ్ ఎలా రన్ చేయాలో](./lessons/0-course-setup/how-to-run.md) తెలియజేసే విధానం
- మేము మీ అభివృద్ధి వాతావరణాన్ని సెటప్ చేసుకోవడానికి ఒక [సెట్టప్ పాఠం](./lessons/0-course-setup/setup.md) తయారు చేశాము.
- విద్యా ప్రొఫెషనల్స్ కోసం కూడా ఒక [పాఠ్యక్రమ సెటప్ పాఠం](./lessons/0-course-setup/for-teachers.md) ఉంది!
- [VSCode లేదా Codespaceలో కోడ్ ఎలా నడిపించాలి](./lessons/0-course-setup/how-to-run.md)
ఈ దశలను అనుసరించండి:
ఈ దశలను అనుసరించండి:
రిపోజిటరీని ఫోర్క్ చేయండి: ఈ పేజీ టాప్-రైట్ కార్నర్ లో ఉన్న "Fork" బటన్‌పై క్లిక్ చేయండి.
రిపాజిటరీని Fork చేసుకోండి: ఈ పేజీ యొక్క కుడిచూపు మూలలోని "Fork" బటన్‌పై క్లిక్ చేయండి.
రిపోజిటరీని క్లోన్ చేయండి: `git clone https://github.com/microsoft/AI-For-Beginners.git`
రిపాజిటరీని Clone చేసుకోండి: `git clone https://github.com/microsoft/AI-For-Beginners.git`
తరువాత ఈ రిపోను సులభంగా కనుగొనటానికి వాటిని స్టార్ (🌟) చేయడం మర్చిపోకండి.
తరువాత ఈ రిపోజిటరీని తేలికగా కనుగొనడానికి స్టార్ (🌟) చేయడం మరువద్దు.
## ఇతర అభ్యాసకులను కలుసుకోండి
## ఇతర అభ్యాసులతో కలవండి
ఈ కోర్సును తీసుకుంటున్న ఇతర అభ్యాసకులతో కలవడానికి మరియు నెట్‌వర్క్ చేయడానికి మా [అధికారిక AI Discord సర్వర్](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) లో చేరండి మరియు సాయం పొందండి.
ఈ కోర్సును తీసుకుంటున్న ఇతర అభ్యాసులతో కలవడానికి, మాటలాడటానికి మరియు సహాయం పొందడానికి మా [అధికృత AI Discord సర్వర్](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) లో చేరండి.
మీకు నిర్మాణ సమయంలో ఉత్పత్తి అభిప్రాయం లేదా ప్రశ్నలు ఉంటే, మా [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) ను సందర్శించండి.
మీరు ఉత్పత్తి గురించి అభిప్రాయాలు లేదా ప్రశ్నలు ఉంటే, మా [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) ను సందర్శించండి.
## క్విజ్‌లు
> **క్విజ్‌ల గురించి గమనిక**: అన్ని క్విజ్‌లు etc\quiz-app ఫోల్డర్‌లో ఉన్న Quiz-app లో ఉంటాయి లేదా [ఇక్కడ ఆన్‌లైన్](https://ff-quizzes.netlify.app/). ఇవి పాఠ్యాలలో లింక్ చేయబడ్డాయి; క్విజ్ యాప్ స్థానికంగా రన్ చేయవచ్చు లేదా Azureకి ఆక్రమించవచ్చు; `quiz-app` ఫోల్డర్‌లో ఉన్న సూచనలను అనుసరించండి. అవి దశలవారీగా స్థానికీకరణ చేయబడ్డాయి.
> **క్విజ్‌ల గురించి ఒక గమనిక**: అన్ని క్విజ్‌లు etc\quiz-app లో Quiz-app ఫోల్డర్‌లో ఉంచబడ్డాయి, లేదా [ఆన్‌లైన్ లో ఇక్కడ](https://ff-quizzes.netlify.app/) చూడొచ్చు. ఇవి పాఠాలలో లింక్ చేయబడ్డాయి. క్విజ్‌ యాప్ స్థానికంగా నడపవచ్చు లేదా Azureకి డిప్లాయ్ చేయవచ్చు; `quiz-app` ఫోల్డర్‌లో ఉన్న సూచనలు పాటించండి. వాటిని స్థానికీకరించడం నెమ్మదీగా జరుగుతోంది.
## సాయం కావాలి
## సహాయం కావాలి
మీకు సూచనలు లేదా అక్షరం తప్పులు లేదా కోడ్ లోపాలు కనిపిస్తే, ఒక ఇష్యూ లేదా పుల్ రిక్వెస్ట్‌ను రేకెత్తించండి.
మీ వద్ద సూచనలు లేదా స్పెల్లింగ్, కోడ్ లో తప్పులు కనిపిస్తే, సమస్యలను ఎలివేట్ చేయండి లేదా పుల్ రిక్వెస్ట్ సృష్టించండి.
## ప్రత్యేక కృతజ్ఞతలు
## ప్రత్యేక కృతజ్ఞతలు
* **✍️ ప్రధాన రచయిత:** [Dmitry Soshnikov](http://soshnikov.com), PhD
* **🔥 ఎడిటర్:** [Jen Looper](https://twitter.com/jenlooper), PhD
* **🎨 స్కెట్చ్‌నోట్ చిత్రకారి:** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ క్విజ్ సృష్టికర్త:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **🙏 ప్రధాన సహకారులు:** [Evgenii Pishchik](https://github.com/Pe4enIks)
* **🎨 స్కెచ్‌నోట్ చిత్రకారిణి:** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ క్విజ్ సృష్టినేత్రి:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **🙏 ప్రధాన భాగస్వాములు:** [Evgenii Pishchik](https://github.com/Pe4enIks)
## ఇతర పాఠ్యక్రమాలు
## ఇతర పాఠ్యక్రమాలు
మా టీమ్ ఇతర పాఠ్యక్రమాలు కూడా తయారుచేస్తుంది! చూడండి:
మన బృందం ఇతర పాఠ్యక్రమాలు కూడా తయారు చేస్తోంది! వీటిని చూడండి:
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
### LangChain
[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners)
[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
[![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
[![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)
@ -188,17 +189,17 @@ _క్లౌడ్‌లో AIకి సున్నితమైన పరి
[![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)
[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
---
---
### Generative AI Series
[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
---
### మూల విద్యా
---
### Core Learning
[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
[![AI for Beginners](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)
@ -207,27 +208,27 @@ _క్లౌడ్‌లో AIకి సున్నితమైన పరి
[![IoT for Beginners](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 Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
---
### కోపైలట్ సిరీస్
---
### Copilot Series
[![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)
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<!-- CO-OP TRANSLATOR OTHER COURSES END -->
## సాయం పొందడానికి
## సహాయం పొందడం
మీరు AI యాప్స్ నిర్మాణంలో ఇడ్చుకుముక్కగా ఉంటే లేదా ఏవైనా ప్రశ్నలు ఉంటే, MCP గురించి చర్చలలో ఇతర అభ్యాసకులు మరియు అనుభవజ్ఞుల అభివృద్ధి కారులతో చేరండి. ఇది ప్రశ్నలు స్వాగతించే మరియు జ్ఞానం స్వేచ్ఛగా పంచుకున్న ఒక మద్దతు సమాజం.
మీరు అడ్డుకున్నారా లేదా AI యాప్స్ బిల్డ్ చేసి ఉండగా ఏవైనా ప్రశ్నలు ఉంటే, MCP గురించి చర్చల్లో ఇతర అభ్యాసులు మరియు అనుభవజ్ఞులైన డెవలపర్లు ఉన్న సమూహంలో చేరండి. ఇది ఒక మద్దతు సర్వసమూహం, అక్కడ ప్రశ్నలు స్వాగతం మరియు జ్ఞానం విమర్శల లేని పద్ధతిలో పంచబడుతుంది.
[![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)
నిర్మాణ సమయంలో ఉత్పత్తి అభిప్రాయం లేదా లోపాలు ఉంటే సందర్శించండి:
మీకు ఉత్పత్తి గురించి ఫీడ్‌బ్యాక్ లేదా బిల్డింగ్ సమయంలో ఎర్రర్స్ ఉంటే చూడండి:
[![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)
---
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**నిరాకరణ**:
ఈ పత్రం AI అనువాద సేవ అయిన [Co-op Translator](https://github.com/Azure/co-op-translator) ఉపయోగించి అనువదించబడింది. మేము సరైన అనువాదానికి యత్నిస్తున్నప్పటికీ, ఆటోమేటెడ్ అనువాదాల్లో తప్పులు లేదా అప్రమత్తతలు ఉండవచ్చు. స్థల భాషలోని మౌలిక పత్రాన్ని అధికారిక మూలంగా పరిగణించాలి. ముఖ్యమైన సమాచారానికి, వృత్తిపరమైన మానవ అనువాదం చేయించుకోవడం మేహనది. ఈ అనువాదం వలన కలిగిన అపవాదాలు లేదా తప్పు అర్థం చేసుకోవడాలపై మేము బాధ్యత వహించము.
**డిస్క్లెమర్**:
ఈ డాక్యుమెంట్‌ను AI అనువాద సేవ అయిన [Co-op Translator](https://github.com/Azure/co-op-translator) ఉపయోగించి అనువదించబడింది. మనం ఖచ్చితత్వానికి ప్రయత్నించినప్పటికీ, ఆటోమేటెడ్ అనువాదాలలో పొరపాట్లు లేదా అసత్యతలు ఉండవచ్చని దయచేసి గమనించండి. అందుబాటులో ఉన్న అసలు డాక్యుమెంట్ its స్వదేశీ భాషలోనే అధికారిక మూలం గా పరిగణించాలి. కీలకమైన సమాచారం కోసం, ప్రొఫెషనల్ మానవ అనువాదాన్ని సిఫార్సు చేయబడుతుంది. ఈ అనువాదం ఉపయోగించడంలో నుండి వచ్చే ఏవైనా అపార్థాల కోసం మేము బాధ్యులు కం.
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