[](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) [](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) [](https://GitHub.com/microsoft/AI-For-Beginners/issues/) [](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) [](http://makeapullrequest.com) [](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) [](https://GitHub.com/microsoft/AI-For-Beginners/network/) [](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [](https://discord.gg/nTYy5BXMWG) # Kecerdasan Buatan untuk Pemula - Kurikulum || |:---:| | AI Untuk Pemula - _Sketchnote oleh [@girlie_mac](https://twitter.com/girlie_mac)_ | Terokai dunia **Kecerdasan Buatan** (AI) dengan kurikulum 12 minggu, 24 pelajaran kami! Ia merangkumi pelajaran praktikal, kuiz, dan makmal. Kurikulum ini mesra-pemula dan merangkumi alat seperti TensorFlow dan PyTorch, serta etika dalam AI ### 🌐 Sokongan Pelbagai Bahasa #### Disokong melalui GitHub Action (Automatik & Sentiasa Dikemas kini) [Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../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](./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)](../br/README.md) | [Portuguese (Portugal)](../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) **If you wish to have additional translations languages supported are listed [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Sertai Komuniti [](https://discord.gg/nTYy5BXMWG) ## Apa yang akan anda pelajari **[Mindmap of the Course](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** Dalam kurikulum ini, anda akan mempelajari: * Pendekatan berbeza terhadap Kecerdasan Buatan, termasuk pendekatan simbolik "lama yang baik" dengan **Perwakilan Pengetahuan** dan penaakulan ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). * **Rangkaian Neural** dan **Pembelajaran Mendalam**, yang merupakan teras AI moden. Kami akan menggambarkan konsep di sebalik topik penting ini menggunakan kod dalam dua rangka kerja paling popular - [TensorFlow](http://Tensorflow.org) dan [PyTorch](http://pytorch.org). * **Arkitektur Neural** untuk bekerja dengan imej dan teks. Kami akan membincangkan model terkini tetapi mungkin agak ketinggalan dari segi kemajuan paling mutakhir. * Pendekatan AI yang kurang popular, seperti **Algoritma Genetik** dan **Sistem Pelbagai Ejen**. Apa yang tidak akan kami liputi dalam kurikulum ini: > [Cari semua sumber tambahan untuk kursus ini dalam koleksi Microsoft Learn kami](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) * Kes perniagaan penggunaan **AI dalam Perniagaan**. Pertimbangkan mengikuti laluan pembelajaran [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) di Microsoft Learn, atau [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), dibangunkan dengan kerjasama [INSEAD](https://www.insead.edu/). * **Pembelajaran Mesin Klasik**, yang diterangkan dengan baik dalam kurikulum kami [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners). * Aplikasi AI praktikal dibina menggunakan **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Untuk ini, kami mengesyorkan anda bermula dengan modul Microsoft Learn untuk [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [pemprosesan bahasa semula jadi](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)** dan lain-lain. * Rangka Kerja Awan ML tertentu, seperti [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), atau [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Pertimbangkan menggunakan laluan pembelajaran [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) dan [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). * **AI Perbualan** dan **Bot Sembang**. Terdapat laluan pembelajaran berasingan [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) dan anda juga boleh merujuk [pos blog ini](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) untuk maklumat lanjut. * **Matematik Mendalam** di sebalik pembelajaran mendalam. Untuk ini, kami mengesyorkan [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) oleh Ian Goodfellow, Yoshua Bengio dan Aaron Courville, yang juga tersedia dalam talian di [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). Untuk pengenalan ringkas kepada topik _AI di Awan_ anda boleh mempertimbangkan mengambil Laluan Pembelajaran [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). # Kandungan | | Pautan Pelajaran | PyTorch/Keras/TensorFlow | Makmal | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 0 | [Persediaan Kursus](./lessons/0-course-setup/setup.md) | [Sediakan Persekitaran Pembangunan Anda](./lessons/0-course-setup/how-to-run.md) | | | I | [**Pengenalan kepada AI**](./lessons/1-Intro/README.md) | | | | 01 | [Pengenalan dan Sejarah AI](./lessons/1-Intro/README.md) | - | - | | II | **AI Simbolik** | | 02 | [Perwakilan Pengetahuan dan Sistem Pakar](./lessons/2-Symbolic/README.md) | [Sistem Pakar](./lessons/2-Symbolic/Animals.ipynb) / [Ontologi](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf Konsep](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Pengenalan kepada Rangkaian Neural**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Buku Nota](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Makmal](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | | 04 | [Perceptron Berbilang Lapisan dan Mewujudkan Rangka Kerja Kita Sendiri](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Buku Nota](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Makmal](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | | 05 | [Pengenalan kepada Rangka Kerja (PyTorch/TensorFlow) dan Overfitting](./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) | [Makmal](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | | IV | [**Visi Komputer**](./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)| [Terokai Visi Komputer di Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | | 06 | [Pengenalan kepada Visi Komputer. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Buku Nota](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Makmal](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | | 07 | [Convolutional Neural Networks](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Architectures](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Makmal](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | | 08 | [Rangkaian Pra-latih dan Pembelajaran Pemindahan](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Training Tricks](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Makmal](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Autoencoders and VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | | 10 | [Generative Adversarial Networks & Artistic Style Transfer](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Pengesanan Objek](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Makmal](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Segmentasi Semantik. 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 | [**Pemprosesan Bahasa Semulajadi**](./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) | [Terokai Pemprosesan Bahasa Semulajadi di Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| | 13 | [Perwakilan Teks. 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 | [Pembenaman perkataan semantik. Word2Vec dan 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 | [Pemodelan Bahasa. Melatih pembenaman anda sendiri](./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) | [Makmal](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [Rangkaian Neural Berulang](./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 | [Rangkaian Berulang Generatif](./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) | [Makmal](./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 | [Pengecaman Entiti Bernama](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Makmal](./lessons/5-NLP/19-NER/lab/README.md) | | 20 | [Model Bahasa Besar, Pengaturcaraan Petunjuk dan Tugasan Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Teknik AI Lain** || | | 21 | [Algoritma Genetik](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Buku Nota](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | | 22 | [Pembelajaran Pengukuhan Mendalam](./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) | [Makmal](./lessons/6-Other/22-DeepRL/lab/README.md) | | 23 | [Sistem Berbilang Ejen](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **Etika AI** | | | | 24 | [Etika AI dan AI Bertanggungjawab](./lessons/7-Ethics/README.md) | [Microsoft Learn: Responsible AI Principles](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Tambahan** | | | | 25 | [Rangkaian Multi-Modal, CLIP dan VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Buku Nota](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Setiap pelajaran mengandungi * Bahan bacaan awal * Buku Nota Jupyter yang boleh dijalankan, yang sering khusus kepada rangka kerja (**PyTorch** atau **TensorFlow**). Buku nota yang boleh dijalankan juga mengandungi banyak bahan teori, jadi untuk memahami topik anda perlu melalui sekurang-kurangnya satu versi buku nota (sama ada PyTorch atau TensorFlow). * **Makmal** tersedia untuk beberapa topik, yang memberi anda peluang untuk mencuba menerapkan bahan yang telah anda pelajari kepada masalah tertentu. * Beberapa bahagian mengandungi pautan kepada modul [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) yang merangkumi topik berkaitan. ## Mula ### 🎯 Baru dalam AI? Mula di sini! Jika anda benar-benar baru dalam AI dan mahukan contoh ringkas yang praktikal, lihat [**Contoh Mesra Pemula**](./examples/README.md)! Ini termasuk: - 🌟 **Hello AI World** - Program AI pertama anda (pengenalan corak) - 🧠 **Simple Neural Network** - Bina rangkaian neural dari awal - 🖼️ **Image Classifier** - Mengklasifikasikan imej dengan ulasan terperinci - 💬 **Analisis Sentimen Teks** - Menganalisis teks positif/negatif Contoh-contoh ini direka untuk membantu anda memahami konsep AI sebelum menyelami kurikulum penuh. ### 📚 Persediaan Kurikulum Penuh - Kami telah membuat satu [pelajaran persediaan](./lessons/0-course-setup/setup.md) untuk membantu anda menyediakan persekitaran pembangunan anda. - Untuk Pendidik, kami juga telah membuat satu [pelajaran persediaan kurikulum](./lessons/0-course-setup/for-teachers.md) untuk anda! - Cara untuk [Menjalankan kod dalam VSCode atau Codepace](./lessons/0-course-setup/how-to-run.md) Ikuti langkah-langkah ini: Fork Repositori: Klik pada butang "Fork" di penjuru atas-kanan halaman ini. Clone Repositori: `git clone https://github.com/microsoft/AI-For-Beginners.git` Jangan lupa untuk memberikan bintang (🌟) repo ini supaya lebih mudah dicari kemudian. ## Temui Pelajar Lain Sertai [pelayan Discord rasmi AI kami](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) untuk bertemu dan berhubung dengan pelajar lain yang mengikuti kursus ini dan mendapatkan sokongan. Jika anda mempunyai maklum balas produk atau soalan semasa membina lawati [Forum Pembangun Azure AI Foundry](https://aka.ms/foundry/forum) ## Kuiz > **Catatan tentang kuiz**: Semua kuiz terkandung dalam folder Quiz-app di etc\quiz-app, atau [Dalam Talian Di Sini](https://ff-quizzes.netlify.app/) Mereka dipautkan dari dalam pelajaran; aplikasi kuiz boleh dijalankan secara tempatan atau dideploy ke Azure; ikut arahan dalam folder `quiz-app`. Mereka sedang diterjemahkan secara berperingkat. ## Bantuan Diperlukan Ada cadangan atau menemui kesalahan ejaan atau kod? Buka isu atau buat pull request. ## Ucapan Terima Kasih Khas * **✍️ Pengarang Utama:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Penyunting:** [Jen Looper](https://twitter.com/jenlooper), PhD * **🎨 Ilustrator Sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ Pencipta Kuiz:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) * **🙏 Penyumbang Teras:** [Evgenii Pishchik](https://github.com/Pe4enIks) ## Kurikulum Lain Pasukan kami menghasilkan kurikulum lain! Lihat: ### LangChain [](https://aka.ms/langchain4j-for-beginners) [](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- ### Azure / Edge / MCP / Agen [](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) [](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) [](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) [](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- ### Siri Generatif AI [](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) [-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) [-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) [-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- ### Pembelajaran Teras [](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) [](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) [](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) [](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) [](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) [](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) [](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- ### Siri Copilot [](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) [](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) [](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) ## Mendapatkan Bantuan Jika anda tersekat atau mempunyai sebarang soalan tentang membina aplikasi AI. Sertai rakan pelajar dan pembangun berpengalaman dalam perbincangan tentang MCP. Ini ialah komuniti yang menyokong di mana soalan dialu-alukan dan pengetahuan dikongsi secara bebas. [](https://discord.gg/nTYy5BXMWG) Jika anda mempunyai maklum balas produk atau ralat semasa membina, lawati: [](https://aka.ms/foundry/forum) --- Penafian: Dokumen ini telah diterjemahkan menggunakan perkhidmatan terjemahan AI Co-op Translator (https://github.com/Azure/co-op-translator). Walaupun kami berusaha untuk ketepatan, sila ambil perhatian bahawa terjemahan automatik mungkin mengandungi kesilapan atau ketidakakuratan. Dokumen asal dalam bahasa asalnya hendaklah dianggap sebagai sumber rujukan yang sah. Untuk maklumat yang kritikal, disarankan mendapatkan terjemahan profesional oleh penterjemah manusia. Kami tidak bertanggungjawab ke atas sebarang salah faham atau salah tafsiran yang timbul daripada penggunaan terjemahan ini.