Not theory. Not chat wrappers. Actual agents — with tools, memory, multi-agent coordination, and production error handling. Every lesson ships working code.
Requires Python basics. No ML experience needed. Just bring a Claude API key.
Each lesson builds directly on the last. By Day 5, you have a production-ready multi-agent system with error handling, logging, cost controls, and deployment. It's not a toy.
Claude + tool calling + a search/calculate agent
Web search, file reading, APIs, DB queries — multi-step problems
Short-term + long-term memory, context window management
Planner + worker agents, debate pattern, research pipeline
Error handling, cost control, logging, background deployment
Each lesson includes complete, runnable Python code. No pseudocode. Copy it, run it, and build on it.
Chatbot vs agent: the fundamental difference. The agent loop: perceive → reason → act → evaluate. Build a basic agent that can search and calculate in 50 lines of Python.
Define tools with JSON schemas. Build web search, file reading, API calls, and database query functions. Agent with 5 tools that solves complex multi-step problems.
Conversation memory, long-term memory with JSON persistence, context window management. Build an agent with both short-term recall and cross-session knowledge.
Orchestrator + worker pattern. Debate pattern for higher-quality answers. Build a research system with a planner agent coordinating multiple specialized workers.
Error handling, retry logic, cost controls with budget limits, structured logging, model routing. Deploy as a background service. Full production-ready agent codebase.
This is the most code-heavy course on this site. Here's what you need to get value from it.
Functions, loops, dicts, and classes. You don't need to be advanced, but you should be able to read Python code without looking everything up.
Get one at console.anthropic.com. The free tier gives you $5 in credits — more than enough for this entire course. Set ANTHROPIC_API_KEY as an env variable.
Any modern Python version works. Install the anthropic SDK: pip install anthropic. That's the only required dependency for Days 1-3.
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Bo Peng — Founder, Precision AI Academy
"Most agent tutorials stop at the 'hello world' stage. This course goes all the way to deployment because that's where the real problems live."
Bo has built production AI systems for federal agencies, trained 400+ professionals, and ranked in the top 0.1% of Kaggle data scientists. He's been running agentic AI pipelines in production since 2023.
Live Bootcamp
The free course gives you the foundations. The live bootcamp builds production AI systems in a real team environment — with code review, architecture feedback, and a cohort of practitioners.