[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) [![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) [![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) [![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) [![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) [![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) [![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) # Akili Bandia kwa Watumizi Wa Mwanzo - Mtaala |![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)| |:---:| | AI Kwa Watumizi Wa Mwanzo - _Sketchnote na [@girlie_mac](https://twitter.com/girlie_mac)_ | Chunguza dunia ya **Akili Bandia** (AI) kupitia mtaala wetu wa wiki 12, somo 24! Inajumuisha masomo ya vitendo, mitihani midogo, na maabara. Mtaala huu ni rafiki kwa wapya na unafunika zana kama TensorFlow na PyTorch, pia maadili katika AI. ### 🌐 Msaada wa Lugha Nyingi #### Inayoambatana kupitia Hatua za GitHub (Imefanyiwa Otomatiki & Kila Wakati ni Mlitifu) [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](./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) > **Ungependa Kwenye Kunakili Kwenye Kompyuta Binafsi?** > > Hifadhi hii ina tafsiri zaidi ya 50 za lugha ambayo huongeza sana ukubwa wa upakuaji. Ili kunakili bila tafsiri, tumia sparse checkout: > > **Bash / macOS / Linux:** > ```bash > git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git > cd AI-For-Beginners > git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' > ``` > > **CMD (Windows):** > ```cmd > git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git > cd AI-For-Beginners > git sparse-checkout set --no-cone "/*" "!translations" "!translated_images" > ``` > > Hii inakupa kila unachohitaji kumaliza kozi kwa upakuaji wa haraka zaidi. **Kama unataka kuongezwa kwa lugha za tafsiri zinazoungwa mkono zimetajwa [hapa](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Jiunge na Jamii [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) ## Utajifunza Nini **[Ramani ya Akili ya Kozi](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** Katika mtaala huu, utajifunza: * Njia mbalimbali za Akili Bandia, ikiwa ni pamoja na njia ya "ya zamani nzuri" ya alama na **Uwakamishaji wa Maarifa** na hoja ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). * **Mitandao ya Neva** na **Mafunzo ya Kina**, ambayo ni kiini cha AI ya kisasa. Tutatoa mifano ya dhana nyuma ya mada hizi muhimu kwa kutumia msimbo katika mifumo miwili maarufu - [TensorFlow](http://Tensorflow.org) na [PyTorch](http://pytorch.org). * **Miundo ya Neva** kwa ajili ya kufanya kazi na picha na maandishi. Tutashughulikia mifano ya karibuni lakini huenda tukakosa mambo ya hali ya juu. * Njia zisizopendwa sana za AI, kama vile **Algorithimu za Kijenetiki** na **Mifumo ya Wakala Wengi**. Sio sehemu ya mtaala huu: > [Pata rasilimali zote za ziada kwa kozi hii katika mkusanyiko wetu wa Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) * Mfano wa biashara za kutumia **AI katika Biashara**. Fikiria kuchukua njia ya kujifunza ya [Utangulizi wa AI kwa watumiaji wa biashara](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) kwenye Microsoft Learn, au [Shule ya AI Biashara](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), iliyotengenezwa kwa ushirikiano na [INSEAD](https://www.insead.edu/). * **Mafunzo ya Mashine ya Kawaida**, ambayo yameelezewa vizuri katika [Mtaala wa Mafunzo ya Mashine kwa Waanzilishi](http://github.com/Microsoft/ML-for-Beginners). * Maombi ya vitendo ya AI yaliyotengenezwa kwa kutumia **[Huduma za Kielelezo](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Kwa hili, tunapendekeza uanze na moduli za Microsoft Learn kwa [macho](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [usindikaji wa lugha asilia](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[AI ya Kuzalisha na Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** na nyinginezo. * **Mifumo ya Wingu Maalum ya ML**, kama vile [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), au [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Fikiria kutumia njia za kujifunza [Jenga na uendeshaji wa suluhisho za mafunzo ya mashine na Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) na [Jenga na Endesha Suluhisho za Mafunzo ya Mashine na Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). * **AI ya Mazungumzo** na **Chat Bots**. Kuna njia tofauti ya kujifunza [Tengeneza suluhisho za AI za mazungumzo](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), na pia unaweza kurejelea [uachiaji huu wa blogu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) kwa maelezo zaidi. * **Hisabati Nzito** nyuma ya mafundisho ya kina. Kwa hili, tunapendekeza [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) na Ian Goodfellow, Yoshua Bengio na Aaron Courville, ambayo pia inapatikana mtandaoni kwenye [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). Kwa utangulizi mpole wa mada za _AI katika Wingu_ unaweza kufikiria kuchukua Njia ya Kujifunza [Anza na Akili Bandia kwenye Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Yaliyomo | | Kiungo cha Somo | PyTorch/Keras/TensorFlow | Maabara | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 0 | [Usanidi wa Kozi](./lessons/0-course-setup/setup.md) | [Sanidi Mazingira yako ya Maendeleo](./lessons/0-course-setup/how-to-run.md) | | | I | [**Utangulizi wa AI**](./lessons/1-Intro/README.md) | | | | 01 | [Utangulizi na Historia ya AI](./lessons/1-Intro/README.md) | - | - | | II | **AI ya Alama** | | 02 | [Uwawakilishi wa Maarifa na Mifumo ya Mtaalamu](./lessons/2-Symbolic/README.md) | [Mifumo ya Mtaalamu](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Grafu ya Dhana](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Utangulizi kwa Mitandao ya Neva**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Daftari](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | | 04 | [Multi-Layered Perceptron na Kuunda Muktadha Wetu](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Daftari](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | | 05 | [Utangulizi kwa Muktadha (PyTorch/TensorFlow) na Kupita Mchanganyiko](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | | IV | [**Maono ya Kompyuta**](./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)| [Chunguza Maono ya Kompyuta kwenye Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | | 06 | [Utangulizi kwa Maono ya Kompyuta. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Daftari](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | | 07 | [Mitandao ya Neva ya Convolutional](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Miundo ya CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | | 08 | [Mitandao Iliyoandaliwa Mapema na Kujifunza Kubadilishana](./lessons/4-ComputerVision/08-TransferLearning/README.md) na [Majaribio ya Mafunzo](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Autoencoders na VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | | 10 | [Mitandao ya Adversarial ya Kizazi na Uhamishaji wa Mtindo wa Sanaa](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Ugunduzi wa Vitu](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Umgawanyiko wa Semantiki. 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 | [**Usindikaji wa Lugha Asilia**](./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) | [Chunguza Usindikaji wa Lugha Asilia kwenye Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| | 13 | [Uwawakilishi wa Maandishi. 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 | [Mbinu za Kuweka Maneno kwa Semantiki. Word2Vec na 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 | [Modeli ya Lugha. Kufuata mafunzo ya uwekeaji wako](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [Mitandao ya Neva ya Kurudia](./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 | [Mitandao ya Kurudia ya Kizazi](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 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 | [Utambuzi wa Entiti Iliyotajwa](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | | 20 | [Modeli Kubwa za Lugha, Uandishi wa Maagizo na Majukumu Machache](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Mbinu Nyingine za AI** || | | 21 | [Algoritmi za Kijenetiki](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Daftari](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | | 22 | [Kujifunza kwa Kina kwa Kurejesha](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | | 23 | [Mifumo ya Wakala Wengi](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **Maadili ya AI** | | | | 24 | [Maadili ya AI na AI Inayowajibika](./lessons/7-Ethics/README.md) | [Microsoft Learn: Kanuni za AI Inayowajibika](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Zaidi** | | | | 25 | [Mitandao ya Multi-Modal, CLIP na VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Daftari](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Kila somo lina * Nyenzo za kusoma kabla * Daftari za Jupyter za Kutekeleza, ambazo mara nyingi ni maalum kwa mfumo wa (**PyTorch** au **TensorFlow**). Daftari la kutekeleza pia lina nyenzo nyingi za kinadharia, hivyo kuelewa mada unahitaji kupitia angalau toleo moja la daftari (iwe PyTorch au TensorFlow). * **Maabara** zinazopatikana kwa baadhi ya mada, ambazo zinakupa nafasi ya kujaribu kutekeleza nyenzo ulizojifunza kwa tatizo maalum. * Sehemu baadhi zina viungo kwa moduli za [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ambazo zinahusiana na mada husika. ## Kuanza ### 🎯 Mpya katika AI? Anza Hapa! Ikiwa wewe ni mpya kabisa katika AI na unataka mifano ya haraka ya vitendo, angalia [**Mifano Rafiki kwa Waanzilishi**](./examples/README.md)! Hii ni pamoja na: - 🌟 **Hujambo AI Dunia** - Programu yako ya kwanza ya AI (utambuzi wa mifumo) - 🧠 **Mtandao Rahisi wa Neva** - Jenga mtandao wa neva kutoka mwanzo - 🖼️ **Mchapishaji Picha** - Tingisha picha na maelezo ya kina - 💬 **Hisia za Maandishi** - Changanua hisia za maandishi chanya/negativa Mifano hii imeundwa kusaidia kuelewa dhana za AI kabla ya kuingia katika mtaala mzima. ### 📚 Mipangilio Kamili ya Mtaala - Tumeandaa [somu ya usanidi](./lessons/0-course-setup/setup.md) kukusaidia kusanidi mazingira yako ya maendeleo. - Kwa waalimu, tumeandaa pia [somu ya usanidi wa mitaala](./lessons/0-course-setup/for-teachers.md)! - Jinsi ya [Kukimbia msimbo katika VSCode au Codespace](./lessons/0-course-setup/how-to-run.md) Fuata hatua hizi: Fungua Hazina: Bofya kitufe cha "Fork" upande wa juu kulia wa ukurasa huu. Nakili Hazina: `git clone https://github.com/microsoft/AI-For-Beginners.git` Usisahau kuipongeza (🌟) hazina hii ili kuipata kwa urahisi baadaye. ## Kutana na Wanafunzi Wengine Jiunge na [server rasmi ya Discord ya AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) ili kutana na kuungana na wanafunzi wengine wanaojiunga na kozi hii na kupokea msaada. Ikiwa una maoni kuhusu bidhaa au maswali wakati wa kujenga tembelea [Jukwaa la Wajenzi wa Azure AI Foundry](https://aka.ms/foundry/forum) ## Maswali > **Kumbuka kuhusu maswali**: Maswali yote yapo katika folda ya Quiz-app ndani ya etc\quiz-app, au [Mtandaoni Hapa](https://ff-quizzes.netlify.app/) Yameunganishwa kutoka ndani ya somo; programu ya maswali inaweza kuendeshwa eneo la mahali au kuwekwa Azure; fuata maelekezo katika folda ya `quiz-app`. Yanaendelea kutafsiriwa. ## Msaada Unahitajika Je, una mapendekezo au umekuta makosa ya tahajia au msimbo? Toa tatizo au tengeneza ombi la kuvuta. ## Shukrani Maalum * **✍️ Mwandishi Mkuu:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Mhariri:** [Jen Looper](https://twitter.com/jenlooper), PhD * **🎨 Mchora Sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ Muumbaji wa Maswali:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) * **🙏 Wahusiki Wakuu:** [Evgenii Pishchik](https://github.com/Pe4enIks) ## Mitaala Mengine Timu yetu huandaa mitaala mingine! Angalia: ### LangChain [![LangChain4j kwa Waanzilishi](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 kwa Waanzilishi](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 kwa Waanzilishi](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 / Wakala [![AZD kwa Waanzilishi](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 kwa Waanzilishi](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 kwa Waanzilishi](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) [![Wakala wa AI kwa Waanzilishi](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) --- ### Mfululizo wa AI Inayotokana [![AI Inayotokana kwa Waanzilishi](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) [![AI Inayotokana (.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) [![AI Inayotokana (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) [![AI Inayotokana (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) --- ### Kujifunza Msingi [![ML kwa Waanzilishi](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) [![Sayansi ya Takwimu kwa Waanzilishi](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 kwa Waanzilishi](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) [![Usalama wa Mtandao kwa Waanzilishi](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) [![Maendeleo ya Mtandao kwa Waanzilishi](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 kwa Waanzilishi](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) [![Maendeleo ya XR kwa Waanzilishi](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) --- ### Mfululizo wa Copilot [![Copilot kwa Maandishi ya Pamoja ya AI](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 kwa 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 Adventures](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) ## Kupata Msaada Ikiwa unakumbwa au una maswali yoyote kuhusu kujenga programu za AI. Jiunge na wanafunzi wenzako na waendelezaji wenye uzoefu katika majadiliano kuhusu MCP. Ni jamii inayosaidia ambapo maswali yanakaribishwa na maarifa hutolewa kwa uhuru. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) Ikiwa una maoni kuhusu bidhaa au makosa wakati wa kujenga tembelea: [![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) --- **Kumbusho**: Hati hii imetafsiriwa kwa kutumia huduma ya tafsiri ya AI [Co-op Translator](https://github.com/Azure/co-op-translator). Ingawa tunajitahidi kufikia usahihi, tafadhali fahamu kuwa tafsiri za kiotomatiki zinaweza kuwa na makosa au kutokuwepo kwa usahihi. Hati asili katika lugha yake ya asili inapaswa kuzingatiwa kama chanzo cha mamlaka. Kwa taarifa muhimu, tafsiri ya kitaalamu ya binadamu inapendekezwa. Hatuwajibiki kwa kutoelewana au tafsiri potofu zitokanazo na matumizi ya tafsiri hii.