A 25-session course on building autonomous AI agents. Tool use, multi-step planning, memory, and the engineering of systems that act on their own.
Tools, memory, planning loop — the primitives every agent is built on.
Let a language model call functions and APIs, then act on the results — not just generate text.
Execute, observe, and replan — the loop that turns an LLM into a working system.
The layer that separates one-shot demos from agents that are actually useful over time.
Traces, metrics, success rates, and a rollback plan — the engineering that lets you ship agents safely.
Fewer than 3 in 100 applicants are selected.
Foundations and CS Specialist
"You can't build AI you don't understand. My job is to make the maths underneath it feel obvious - not intimidating."
Programming & Applied AI Specialist
"Students learn AI fastest when they're building something real with it. We start writing code on day one."
Programming & AI Engineering Specialist
"Real industry experience changes how you teach. I show students how AI is actually built, not just how it's described."
In the final five sessions, they design, build, and ship one autonomous AI agent — with tools, memory, multi-step reasoning, and an evaluation framework — defending every design choice live.
In the final five sessions, they design, build, and ship one autonomous AI agent — with tools, memory, multi-step reasoning, and an evaluation framework — defending every design choice live.
25 private 1-on-1 sessions with an IIT graduate mentor.
for the full 25-session course
$40 per 1-on-1 session · 25 sessions total
