mcp-course-deeplearning-ai
このJupyter Notebookは、ディープラーニングの基礎を学ぶための教材です。実践的なコード例を通じて、ニューラルネットワークの構築やトレーニング方法を学ぶことができます。特に、TensorFlowやKerasを使用した実装が含まれており、理論と実践を結びつける内容となっています。
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Course Outline
- Lesson 1: Why MCP? - video only
- Lesson 2: MCP Architecture - video only
- Lesson 3: Chatbot Example - video with code example
- Lesson 4: Creating an MCP Server - video with code example
- Lesson 5: Creating an MCP Client - video with code example
- Lesson 6: Connecting the MCP Chatbot to Reference Servers - video with code example
- Lesson 7: Adding Prompt & Resource Features - video with code example
- Lesson 8: Configuring Servers for Claude Desktop - video only
- Lesson 9: Creating and Deploying Remote Server - video with code example
- Lesson 10: MCP Roadmap & Conclusion - video only
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.