Live
AI Agents & Automation
A hands-on course on building AI agents that don't just answer — they plan, use tools, and get multi-step work done on their own.
What you'll learn
01
Foundations of AI agents
What actually makes something an "agent" instead of a single prompt — the perceive, plan, act, observe loop.
02
Tool use & function calling
Give a model real capabilities — APIs, search, code execution — and structured output it can act on.
03
Planning & multi-step reasoning
Break a fuzzy goal into steps, chain actions together, and recover when one step fails.
04
Memory & state
Short-term context versus persistent memory, and when an agent actually needs to remember something across sessions.
05
Multi-agent systems
Orchestrate several specialized agents instead of asking one generalist to do everything.
06
Guardrails & reliability
Stop infinite loops, set cost and time limits, add human-in-the-loop checkpoints, and evaluate what an agent actually did.
07
Capstone
Build and ship a working agent that completes a real multi-step task end to end.
Agentic AI is one of the fastest-moving areas in the field right now — the gap between "I can write a good prompt" and "I can build something that reliably takes multi-step action" is exactly where this course is aimed.