This repository contains my code, projects, and notes from the AI Engineer Agentic Track: The Complete Agent & MCP Course by Ed Donner and Ligency. This is an intensive 6-week program designed to master Agentic AI through hands-on development of 8 real-world projects.
Instructor: Ed Donner - Technology leader, CTO of Nebula, and founder of multiple AI startups
Platform: Udemy
Duration: 30 days intensive program
Course Link: Udemy Course
By the end of this course, I will:
- Master Agentic AI architectures and frameworks
- Build production-ready autonomous AI agents
- Gain expertise in all major AI agent frameworks
- Deploy agents that make decisions and take actions autonomously
- Understand and implement the Model Context Protocol (MCP)
- Create multi-agent systems for complex workflows
- OpenAI Agents SDK - Building intelligent agents with OpenAI's latest tools
- CrewAI - Multi-agent collaboration framework
- LangGraph - Building stateful, graph-based agent workflows
- AutoGen - Microsoft's multi-agent conversation framework
- MCP (Model Context Protocol) - Standard for managing context across AI systems
- Python
- LangChain
- Hugging Face
- Ollama
- AWS (Bedrock, Lambda, SQS, Aurora Serverless)
- Docker
- n8n (for automation)
- CI/CD pipelines
- OpenAI (GPT models)
- Google Gemini
- Anthropic Claude (including Claude Code)
This course includes 8 hands-on, real-world projects:
Build and deploy an AI agent that represents you to potential employers, showcasing your skills and experience.
Create autonomous Sales Representatives that craft and send professional emails, automating the sales outreach process.
Build a team of AI agents that conduct extensive research on any topic, mimicking a professional research team.
Automate the search for investment opportunities using CrewAI to analyze market data and identify promising stocks.
Deploy a complete software development team consisting of four specialized agents that manage, build, and test applications using CrewAI and Coder Agents in Docker.
Build your own version of OpenAI's Operator Agent - a browser-based sidekick that works alongside you using LangGraph.
Create an Agent that builds and launches new Agents using AutoGen, enabling recursive agent creation and endless AI possibilities.
Build a sophisticated Trading Floor with 4 autonomous trading agents powered by 6 MCP servers and 44 tools, making real-time trading decisions.
- LLM fundamentals and proven design patterns
- Agent architectures and orchestration
- Prompt engineering for production systems
- Multi-agent collaboration
- Agent specialization and role assignment
- Building coordinated agent teams
- Stateful agent workflows
- Graph-based agent design
- Complex decision-making systems
- Microsoft's multi-agent framework
- Agent conversation patterns
- Recursive agent creation
- Understanding MCP architecture
- Deploying agents across multiple servers
- Building scalable agent ecosystems
- Integration with external tools and services
- Agentic AI Design Patterns - Learn to design autonomous agents that can plan, reason, and execute
- Multi-Agent Systems - Orchestrate teams of specialized agents working together
- Production Deployment - Ship agents to production with proper monitoring and scaling
- MCP Mastery - Leverage the Model Context Protocol for distributed agent systems
- Tool Integration - Connect agents to real-world tools and APIs
- Prompt Engineering - Master advanced prompting techniques for reliable agent behavior
Coming soon - Will be updated as I progress through the course
- Python programming experience
- Basic understanding of AI/ML concepts
- Familiarity with LLMs (helpful but not required)
- Patience and enthusiasm for hands-on learning!
Agentic AI is rapidly becoming mainstream in AI engineering, with 2025 being described as the year agents enter the workforce. This course provides:
- Cutting-Edge Skills - Learn the exact technologies top companies are seeking
- Hands-On Approach - Build 8 real-world projects, not just watch tutorials
- Complete Framework Coverage - Master all major agentic frameworks
- Production Focus - Deploy scalable, production-ready systems
- Future-Proof Career - Position yourself at the forefront of AI's next phase
- Official Course GitHub
- Ed Donner's Website
- Instructor LinkedIn
- Anthropic Documentation
- OpenAI Documentation
Feel free to reach out if you're also taking this course or interested in collaborating on agent-based projects!
This repository contains my personal coursework and projects. Please respect the course materials and intellectual property.
Last Updated: January 2026
Status: In Progress 🚀
"2025 is the year that Agents enter the workforce. This is nothing short of a watershed moment for Artificial Intelligence."