AI Agents Tech Crash Course From Concept To Deployment, Build and Deploy AI Agents with LangChain, LangGraph, and Crew AI.
Course Description
Want to go beyond simple prompts and actually build AI agents that think, act, and collaborate?
This crash course teaches you how to design, build, and deploy intelligent agents using some of today’s most powerful tools: LangChain, LangGraph, and Crew AI.
What you will learn:
- What AI agents are and how they work behind the scenes
- How to create structured workflows using LangChain and LangGraph
- How to build and manage multi-agent systems with Crew AI
- How to give your agents real tools to work with – including search, logic, data handling
- How to integrate agents into real environments using Model Context Protocol (MCP)
- How to run agents in a client such as Claude Desktop
By the end of the course, you will be able to:
- Build single-agent and multi-agent systems from scratch
- Use decision trees, state machines, and retry logic to improve performance
- Connect agents to external services and run them in production-ready setups
- Understand and debug agent behavior using structured design and logging
Who is this for?
- Developers looking to explore agentic workflows
- Product managers working with AI teams
- Anyone curious about building AI that does something, not just says something
No extra fluff. Just working code, hands-on demos, and practical agent design. Just for you!
Free
