All lecture and recitation recordings from AIML 901: AI Foundations for Managers — AgentOps, taught by Professor Sébastien Martin at the Kellogg School of Management (Winter 2026), with recitations led by Alex Jensen. This hands-on, five-week intensive takes you from AI outsider to AI insider, covering everything from training LLMs from scratch to building and deploying AI agents with n8n.
A note on audio quality: Some lecture recordings have imperfect microphone audio (the first one in particular), but they are all understandable.
Lectures
- Let’s Get Building — Jan 6
- Pretraining a Large Language Model — Jan 9
- Post-training and Alignment — Jan 13
- Prompting LLMs — Jan 16
- AI Agents — Jan 20
- The AI Frontier — Jan 23
- AgentOps — Jan 27
- Evaluation and Continuous Improvement — Jan 30
- Change Management and Innovation — Feb 3
- Keeping up with AI — Feb 4
Recitations
- Getting Started with n8n — Jan 7
- n8n Deep Dive — Jan 14
- Advanced n8n Usage — Jan 21
- Agent Evaluation — Jan 28
- End-to-End Products with AI — Feb 4
1. Let’s Get Building
January 6 — Dive straight into action using and creating AI agents while exploring course deliverables and expectations.
2. Pretraining a Large Language Model
January 9 — Train your own LLM from scratch to demystify how these powerful models actually learn from data.
3. Post-training and Alignment
January 13 — Discover the crucial steps that transform a raw LLM into a helpful, safe, and reliable AI assistant.
4. Prompting LLMs
January 16 — Now that the AI company has created a useful LLM, let’s take control of it: exploring prompting techniques across several use cases.
5. AI Agents
January 20 — How AI agents work, how to give them tools (RAG, etc.), and how to use them. Hands-on with coding agents like Codex and Claude Code.
6. The AI Frontier
January 23 — An exploration of the state-of-the-art AI technologies and where all of this might be going.
7. AgentOps
January 27 — How do we go from “I can build a cool AI prototype” to “real world impact”?
8. Evaluation and Continuous Improvement
January 30 — How do we know if our AI workflow is working? How can we improve it?
9. Change Management and Innovation
February 3 — A deep dive into the Proxima Health case study: how do you drive impact with AI?
10. Keeping up with AI
February 4 — Kai awards, advice to keep learning about AI, and farewell.
Recitation 1: Getting Started with n8n
January 7 — Let’s Build a Google Calendar Agent. Master the fundamentals of n8n, your go-to platform for creating and testing intelligent agents.
Recitation 2: n8n Deep Dive
January 14 — Let’s Build an Email Triage Agent. Level up your n8n skills with advanced features that will empower your course project.
Recitation 3: Advanced n8n Usage
January 21 — Let’s Build a Bilingual Communications Agent. Expand your project’s capabilities with advanced n8n functionalities to explore on your own.
Recitation 4: Agent Evaluation
January 28 — Let’s Build an Expense Categorization Agent. Build a robust evaluation pipeline in n8n, a critical requirement for your project’s success.
Recitation 5: End-to-End Products with AI
February 4 — Transform your agent backends into polished products using Lovable and other tools to create beautiful apps and websites.