AI Agents Bootcamp: Zero to Mastery

Learn hands-on AI agent development using CrewAI, LangGraph, MCP, OpenAI and more. Build and deploy real multi-agent systems for automation, data workflows, and intelligent apps.

What you'll learn

• Build multi-agent systems using CrewAI, LangGraph, MCP, OpenAI and more
• Create AI agents that collaborate and handle tasks in parallel
• Use OpenAI's Agents SDK for dynamic agent behavior
• Connect agents to tools like web browsers, vector stores, and APIs
• Deploy agent workflows locally and share with others
• Design conditional flows and stateful agent logic with LangGraph
• Gate AI actions behind approvals using Model Context Protocol
• Use Python to orchestrate and customize agent behaviors

This isn’t a course about prompt tricks…it’s about building real AI systems that get work done.

You’ll go beyond chatbots and dive into structured, multi-agent workflows. Using Python and real-world AI agent tools including CrewAI, LangGraph, MCP, OpenAI and more, you’ll assemble AI “crews” that scrape websites, analyze content, collaborate, and report back—all automatically.

Whether you're prepping for a role in AI engineering, automation, product strategy, or just want to build autonomous AI systems for your daily life, this course gives you hands-on experience creating and deploying AI agents that actually work!

By the end, you’ll have multiple production-ready demos, plus the confidence to build and explain intelligent systems that go beyond chat.