Artificial Intelligence (AI) covers the technologies and techniques that enable machines to learn, reason, generate content, make decisions, and perform intelligent tasks. This category explores modern AI concepts including Generative AI (GenAI), Large Language Models (LLMs), AI Agents, Agentic AI, Model Context Protocol (MCP), automation, prompt engineering, and intelligent AI application development. Courses in this category focus on practical skills for building, integrating, and deploying AI-powered solutions for real-world use cases.

MCP for Beginners
Artificial Intelligence (AI)
MCP for Beginners

Build AI Agents with Model Context Protocol (MCP)

Explore the Model Context Protocol (MCP)—a powerful framework for building secure, scalable, and real-world AI applications. Join April Gittens as you learn MCP through core concepts, hands-on development, advanced implementation, and real-world case studies.

Learn how to build and deploy AI agents with MCP in Visual Studio Code, contribute to the MCP community, and apply best practices inspired by early adopters across industries.

Lessons

  1. Introduction to Model Context Protocol (MCP)

  2. MCP Core Concepts

  3. MCP Security Best Practices

  4. Build Your First MCP Server

  5. How to build, test & deploy MCP apps with real tools and workflows

  6. Advanced MCP: Secure, Scalable, and Multi-Modal AI Agents

  7. How to Contribute to MCP: Tools, Docs, Code & More

  8. Lessons from MCP Early Adopters

  9. MCP Development Best Practices

  10. MCP in Action: Real-World Case Studies

  11. Build AI Agents in VS Code: 4 Hands-On Labs with MCP + AI Toolkit