Self-paced
Learning paths, beginner to expert
Every path is a sequence, not a playlist: what to learn, in what order, with the best free material we can find for each step — and a project at the end of each stage that proves you can actually do it.
Product Design
UX heuristics, research, interface craft and systems thinking — ending in the only thing a design portfolio is actually judged on: a case study that shows how you think.
Leadership with AI
Decision-making, operating models and leverage for people who run teams — with AI treated as a change to how work is organised rather than a tool to buy.
Full-Stack Web
HTML, TypeScript, React, Node and databases — in the order that lets each one earn the next, ending in a product on a real domain with real users' data in it.
Data & Analytics
SQL, pandas, statistics and visualisation — plus the part that actually gets people hired: turning an analysis into a decision somebody acts on.
Cloud & DevOps
Linux, AWS, containers, infrastructure as code and the observability that tells you whether any of it is working. Built around one service you take all the way to production.
Career Readiness
Portfolio craft, technical communication, interview preparation and how to judge a role honestly — the layer between having the skills and being hired for them.
AI for Product Management
How AI changes discovery, specification, experimentation and measurement — and the parts of product management it does not change at all.
AI Foundations
From the maths underneath to a retrieval-augmented app you understand end to end. Beginner through expert, with the papers when you are ready for them.
AI Ethics, Risk & Compliance
Responsible AI, governance frameworks and the failure modes that only appear once a system is live and used by people you never met.
None of these quite you?
Take your counselling session and we will build the path around your direction instead — same curation, same projects, ordered for where you actually are.