AI
How artificial intelligence actually works, and how to build with it — from first concepts to shipping generative AI applications.
Engineers, data scientists, and practitioners who want to build with AI, not just talk about it.
Beginner
Foundational concepts and your first hands-on contact with generative AI — no prior ML background assumed.
Intermediate
Build real things: prompting patterns, LLM application architecture, and the transformer fundamentals underneath.
- ChatGPT Prompt Engineering for Developers (opens in new tab)
- Building Systems with the ChatGPT API (opens in new tab)
- LangChain for LLM Application Development (opens in new tab)
- Vector Databases: from Embeddings to Applications (opens in new tab)
- NLP Course (opens in new tab)
- Machine Learning Crash Course (opens in new tab)
Advanced
Go under the hood: build a language model from scratch, understand diffusion, and fine-tune your own models.
Team and product leads who need enough fluency to direct AI initiatives and evaluate vendor claims — not to write the code themselves.
Beginner
Build baseline fluency and vocabulary — what generative AI actually is, and hands-on contact with the tools your team uses daily.
Intermediate
Understand what the tools can and can't do well enough to direct a team and push back on vendor claims.
Advanced
Ground your team's roadmap in the current state of the field, not vendor hype — the reports that set the terms of the debate.
Decision-makers who need the strategic stakes and the state of the field — not a tool tutorial.
Beginner
The two most-cited, non-technical primers on what AI is and why it matters for your organization.
Intermediate
Enough grounding in generative AI specifically to ask sharp questions in a board or strategy meeting.
Advanced
The reports and reading that set the terms of the current AI-policy and strategy debate — where the field actually stands, and where regulation is heading.
This persona's pathway is in development — check back soon.