Build AI Agents: CrewAI, LangGraph, OpenAI SDK, Autogen, MCP

About this course

Stop watching AI demos. Start building AI systems companies actually ship.

This hands-on bootcamp takes you from your first LLM API call to production-grade multi-agent systems — using the tools shaping AI engineering today: OpenAI Agents SDK, CrewAI, LangGraph, AutoGen, and MCP.You won’t just learn theory. You’ll design, build, debug, secure, and deploy real AI applications in Python.

What you’ll build:29 exciting AI projects that we will design from scratchAI research assistant, email generator & chatbot (Module 0)Prompt playground, JSON formatter & email classifier

Resume analyzer, data extractor & SQL assistant

Web search agent & multi-step task agent

OpenAI SDK: research copilot, meeting notes → action items, support bot

CrewAI flagship: AI software engineering team (Developer → Reviewer → Tester)LangGraph customer support & human-in-the-loop approval workflows

AutoGen collaborative code review & problem-solving agentsMCP: internal data assistant, knowledge base agent, trading simulation

Debug dashboard, failure simulator & output evaluator

GitHub AI PR code reviewer (FastAPI + webhooks)This course doesn't just teach you how to design and build AI systems — it also shows you how and when AI fails, and what to do about it. It's a production-ready bootcamp that takes you all the way to deployment, including a GitHub AI PR reviewer you can run in real time and watch interact with live pull requests.

By Deesa Technologies — production-focused courses built by engineers who ship real systems.

Enroll now and build your first AI agent in Module 0.

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