Resources
Everything here is scheduled into the program — pre-work, session references, between-session viewing, and post-program growth. Nothing is homework for its own sake: How to Use the Resources maps each item to its moment in the course, and Further Learning Paths turns it into a per-role plan after the capstone.
Official documentation
The authoritative references for the surfaces and standards used throughout the program. Product availability depends on your plan and administrator settings.
Watch
Talks we recommend between sessions — from model builders and the best independent explainers. Links and availability are re-verified at each cohort refresh.
Intro to Large Language Models
Andrej Karpathy · the classic one-hour mental model
How I use LLMs
Andrej Karpathy · everyday practice, tool by tool
Transformers, the tech behind LLMs
3Blue1Brown · visual intuition in under 30 minutes
AI prompt engineering: A deep dive
Anthropic · the roundtable behind our prompting method
Claude Code and agentic coding
Boris Cherny (Anthropic) at the AI Engineer conference
OpenAI DevDay 2025: Opening Keynote
OpenAI · where the wider industry is heading
Books
Five books that give practitioners and leaders a shared vocabulary for working with AI — from daily practice to economics, process redesign, and governance.
Going deeper
Recommended reading for workflow owners, reviewers, and the teams responsible for governance.
Program worksheets
The working documents used in each phase. Your facilitator distributes editable copies during the sessions, and this page is linked to your cohort's shared workspace at kickoff.