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📖 Bookmark course materials - Go to COURSE_RESOURCES.md for all code & exercises
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🍴 Fork this repository - Click "Fork" button (top right) to create your own copy
💡 Why fork? We are going to deploy our solution to the cloud and you'll need your own GitHub repo for that!
- Click Code and start a codespace. You'll be up and running in a minute!
The most practical, hands-on course for building Agentic AI systems with OpenAI's Agents SDK. No fluff, just code.
A complete AI-powered nutrition assistant featuring:
- 🧠 Natural language understanding with OpenAI's Agents SDK
- 🔧 Tool calling for external API interactions
- 📚 RAG for contextual intelligence
- 💾 Memory systems for conversation continuity
- 🛡️ Guardrails for safe, reliable behavior
- ☁️ Cloud deployment with authentication
Hour 1: Foundations
- Build & debug your first OpenAI agent
- Master tool calling and API integration
Hour 2: Advanced Capabilities
- Implement RAG for knowledge retrieval
- Work with Model Context Protocol (MCP)
Hour 3: Multi-Agent & Production
- Design multi-agent orchestration
- Add memory, prompt engineering, guardrails
Hour 4: Deploy to Production
- Build production-grade chatbot
- Deploy to cloud platforms
✅ Build autonomous AI agents using OpenAI's latest SDK
✅ Implement tool calling and RAG systems
✅ Create multi-agent orchestration workflows
✅ Deploy production-ready agents with authentication
✅ Master prompt engineering and guardrails
- Basic Python knowledge (functions, loops, OOP basics)
- OpenAI API key (instructions in course)
- Enthusiasm to build! 🎯
Frank Kane - Ex-Amazon/IMDb, 17 patents in ML, 1M+ students
Zoltan C. Toth - 20+ years AI infrastructure, Ex-Databricks instructor
