Design and build tool-using AI agents on top of modern LLM APIs.
A hands-on, advanced course in agentic AI engineering. You'll design a tool schema an LLM can call reliably, build an agentic loop with tool use and memory, ground model output in real data sources instead of hallucination, and learn a systematic approach to evaluating and debugging agent behavior.
Train, evaluate, and tune classic machine learning models using scikit-learn.
Understand how modern AI systems work — without needing a math or programming background.