
AI Agents Crash Course: Build with Python & OpenAI
Learn to build agentic AI solutions using Python, OpenAI SDK, tools, memory, RAG, and guardrails - in just four hours!
What you'll learn
Requirements
- Basic experience with Python programming
- An OpenAI account with API access
- A GitHub account to use GitHub Codespaces for development
- Familiarity with basic coding tools (e.g., running scripts, editing code)
About this course
Building intelligent AI agents can feel overwhelming. Between OpenAI’s complex SDK, retrieval-augmented generation (RAG), tool-calling, memory, and prompt engineering, it’s hard to know where to start.
This AI Agents Crash Course: Build with Python & OpenAI is your shortcut: in just a few hours, you'll go from zero to deploying your own functional, real-world agentic AI system.
You’ll build a smart nutrition assistant that:
- Uses OpenAI’s Agents SDK to understand and respond to prompts
- Calls external tools and APIs
- Leverages memory and RAG for contextual intelligence
- Includes guardrails to behave safely and reliably
- Can be deployed to the cloud with authentication
Whether you're a developer, data scientist, or AI-curious engineer, this hands-on AI Agents course gives you a complete end-to-end agentic AI foundation -- without getting buried in theory or outdated code.
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Udemy Course Reviews
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