Stage 5: Exploration of AI Application Scenarios

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A 5-day intensive AI Agents course co-launched by Google and Kaggle, teaching how to build, evaluate, and deploy production-grade AI agent systems.

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A hands-on tutorial on Vibe Coding in Google AI Studio, covering Gemini API, voice programming, tool integration, and rapid application development.

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Chinese-English translation of Agentic Design Patterns, covering 21 AI agent design patterns, including core architectural methods such as prompt chaining, routing, and multi-agent collaboration, with Python code examples.

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RAG system development course launched by DeepLearning.AI, learn to build production-level Retrieval Augmented Generation applications using vector databases and LLMs, covering the complete process from architecture design to deployment evaluation.

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Agentic AI course taught by Andrew Ng, teaching how to build AI systems that can autonomously perform complex tasks, mastering the four design patterns of reflection, tool use, planning, and multi-agent collaboration.

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Microsoft's 12-lesson AI Agent for Beginners tutorial, a comprehensive learning experience from concept to practice in building AI Agents.

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Comprehensive official Claude API course by Anthropic, teaching developers how to build AI applications using the API, covering prompt engineering, tool use, RAG, and agent development.

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Anthropic's official Code with Claude tutorial series, a complete course teaching how to use Claude for programming, automation, and AI application development.

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A beginner's workshop on Model Context Protocol (MCP) provided by Microsoft Reactor, teaching how to create an MCP server using JavaScript/TypeScript to achieve standardized interaction between AI models and external data sources.

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A comprehensive prompt engineering and generative AI learning platform, an authoritative free guide cited by OpenAI and Google.

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A tutorial on large language models and chatbot technology produced by IBM Technology, covering 13 core topics including LLM working principles, prompt tuning, security risks, etc.

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Microsoft's official AI beginner's course, 12 weeks and 24 lessons, covering core content such as neural networks, deep learning, and AI ethics, supporting TensorFlow and PyTorch frameworks.

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Hugging Face's official audio course, teaching how to use Transformers to process audio data, covering a complete learning path for tasks such as speech recognition, audio classification, and text-to-speech.

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A free MCP course provided by Hugging Face, teaching how to understand, use, and build Model Context Protocol applications, a complete learning path from beginner to practitioner.

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A comprehensive collection of advanced Retrieval-Augmented Generation (RAG) system techniques, covering 30+ RAG implementations from basic to cutting-edge, including complete code examples and detailed documentation.

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A complete Agentic AI tutorial series created by codebasics, covering the concepts of intelligent agent AI, development frameworks, practical projects, and industry trends.

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Microsoft's official 21-lesson introductory tutorial on Generative AI, covering a complete learning path from basic concepts to practical application development, supporting Python and TypeScript.

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A free AI agent course developed by Hugging Face, covering AI agent development from beginner to expert level.

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