MCP : Generative AI with Model Context Protocol, Claude Code
- Master Model Context Protocol (MCP) - Understand MCP architecture, server components, transport types, and flow diagrams for enterprise AI communications
- Build Production-Ready AI Agents - Create intelligent agents using Claude, CrewAI, and Amazon Bedrock with real-world applications like travel planning and tool
- Implement Secure AI Systems - Apply penetration testing methodologies, OAuth authentication, and security best practices specifically for AI agent architectures
Course Content
16 sections • 67 lectures • 5h 26m total length
4.9 (2 reviews)
FREE
5.5 hours on-demand video
Access on mobile and TV
Full lifetime access
Certificate of completion
Lesson 1. General Concepts
- 10,000 Foot view on Language Models
- LLM Inference Parameters
Lesson 2. Evolution of MCP
- Current solutions and their limitations – Need for MCP
- Client Server Architecture
Lesson 3. All About MCP
- MCP Architecture
- MCP Server Components
- MCP Transport Types
- MCP Flow – Server, Client and Host communication over Transport layer
- MCP – E2E Flow
Lesson 4. Hands On MCP - STDIO Transport with Cursor IDE
- MCP Documentation
- Install Dependencies with UV package
- Walkthrough Weather API
- Invoke Weather API
- Getting MCP Server Ready
- MCP Host, Client and Server
- MCP Inspector
Lesson 5. Claude with Github - MCP & Github Access Tokens
- Integrate Claude Desktop with Github
Lesson 6. MCP with Docker
- Github MCP Server on local Docker and Claude Desktop
- MCP with Github, Docker, Claude
Lesson 7. Hands On MCP - SSE Transport with Cursor IDE
- SSE Weather Server
- SSE Client – Handshake
- MCP Client Server over SSE
Lesson 8. Hands On MCP - Streamable HTTP Transport
- HandsOn – Streamable HTTP Server
- MCP Inspector
- MCP Client with HTTP Streamable
Lesson 9. MCP Prompt & Resources
- Introduction to Prompts
- Prompting Techniques – Zero Shot, Few Shot, Chain-Of-Thought with Amazon Bedrock
- MCP Prompts – Hands On
- MCP Inspector – Client
- MCP Resources – Hands On
- Integration – MCP Resource with Claude
- MCP Resource – Data Refresh
- Resource with MCP Inspector
Lesson 10. Claude Code
- Introduction to Claude Code
- Install Claude Code
- Claude Code CLI
- Hello World App with Claude Code
Lesson 11. MCP with Claude Code
- MCP-Servers Walkthrough
- MCP Server with Puppeteer
- MCP Server with Sequential Thinking
- GitHub MCP Server – No auth
- GitHub MCP Server- Auth
Lesson 12. Amazon Bedrock Agents - Setup
- Amazon Bedrock InlineAgent – Intro
- Inline Agent vs Bedrock Agent
- Inline Agent Class Walkthrough
- Amazon Bedrock Agent Console
- AWS Profile – CLI
- IAM Access Key
Lesson 13. MCP Server with Amazon Bedrock Agents
- Bedrock Agent with Time MCP Server
- Bedrock Agent with Perplexity MCP Server
- Cost Analysis Agent – Multi MCP Servers and Builder Tools
- Cost Analysis Agent – Evaluate Result
Lesson 14. AI Agents
- Agentic Design at Runtime
- Introduction to CrewAI library
- Install CrewAI
- Define Agents and Tasks
- Travel Agent Base Classes
- Planner Agent with Crewbase
- Multi Agent Execution with Crewbase
- Evaluate Multi Agentic Execution
Lesson 15. Bonus - Multimodal AI Agent with Tools, Multi-Hop and ReAct Prompt
- Agentic Use Case with Multimodal, Multi-Hop and ReAct Architecture
- ReACT Prompt for AI Agents
- Run the Agent
- Multi Agent with Multi Tools
Lesson 16. RAG - Retrieval Augmentation Generation
- Vector Embedding
- RAG – Retrieval Augment Generation
- First RAG Pipeline
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