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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)

₹ 799

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5.5 hours on-demand video
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Certificate of completion
  • 10,000 Foot view on Language Models
  • LLM Inference Parameters
  • Current solutions and their limitations – Need for MCP
  • Client Server Architecture
  • MCP Architecture
  • MCP Server Components
  • MCP Transport Types
  • MCP Flow – Server, Client and Host communication over Transport layer
  • MCP – E2E Flow
  • MCP Documentation
  • Install Dependencies with UV package
  • Walkthrough Weather API
  • Invoke Weather API
  • Getting MCP Server Ready
  • MCP Host, Client and Server
  • MCP Inspector
  • Integrate Claude Desktop with Github
  • Github MCP Server on local Docker and Claude Desktop
  • MCP with Github, Docker, Claude
  • SSE Weather Server
  • SSE Client – Handshake
  • MCP Client Server over SSE
  • HandsOn – Streamable HTTP Server
  • MCP Inspector
  • MCP Client with HTTP Streamable
  • 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
  • Introduction to Claude Code
  • Install Claude Code
  • Claude Code CLI
  • Hello World App with Claude Code
  • MCP-Servers Walkthrough
  • MCP Server with Puppeteer
  • MCP Server with Sequential Thinking
  • GitHub MCP Server – No auth
  • GitHub MCP Server- Auth
  • Amazon Bedrock InlineAgent – Intro
  • Inline Agent vs Bedrock Agent
  • Inline Agent Class Walkthrough
  • Amazon Bedrock Agent Console
  • AWS Profile – CLI
  • IAM Access Key
  • 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
  • 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
  • Agentic Use Case with Multimodal, Multi-Hop and ReAct Architecture
  • ReACT Prompt for AI Agents
  • Run the Agent
  • Multi Agent with Multi Tools
  • Vector Embedding
  • RAG – Retrieval Augment Generation
  • First RAG Pipeline

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