Library
Resources
Every free, authoritative source behind this course. Explore foundations, readiness, governance, EU AI Act, architecture, ROI, change management, templates, and prototyping tools. Plus a verified video library.
Video library
14 verified videos, organized by topic and mapped to the module where you'll need them.
🧠AI & machine learning foundations
What AI is, how models learn, and the language of the field: start here if you're new.
The classic framing of why AI matters for business leaders (Stanford GSB).
Core intuition for how ML models learn: no math required.
A practical, gentle walkthrough of ML concepts and hands-on examples.
A comprehensive 10-hour ML course if you want real depth.
💬Large language models & generative AI
How LLMs work: tokens, transformers, attention, and what they can and can't do.
Basics of LLMs, tokens, and context: the fastest orientation.
The best one-hour explanation of how LLMs work, from OpenAI's founding member.
How the transformer architecture powers modern generative AI.
The mechanism that lets models weigh context: the core of LLMs.
Why LLMs can recall facts but also hallucinate: key for governance.
🤖RAG, embeddings & agentic AI
Grounded answers, vector search, and AI systems that act: the frontier topics.
How RAG grounds an LLM in your own data to reduce hallucination.
Embeddings and vector DBs: the machinery behind semantic search and RAG.
Build chains and early agent patterns with the most popular framework.
🔬Go deeper (optional)
For when you want to understand the engineering, not just the concepts.
Build a real GPT model line by line: the definitive deep dive.
How neural networks actually learn, from the ground up.
🧭Foundations for non-technical leaders
Free to audit; the standard non-technical primer. Week 3 includes an AI transformation playbook.
The industry reference for what agentic AI means.
Free; reflection, tool use, planning, multi-agent patterns.
Free NLP and agent courses.
Short, clear intro to LLMs.
The classic visual intuition for how neural nets learn.