mcp-course-deeplearning-ai
This Jupyter Notebook serves as a resource for learning the fundamentals of deep learning. It includes practical code examples that teach how to build and train neural networks. Notably, it features implementations using TensorFlow and Keras, bridging the gap between theory and practice.
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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
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