Every course, in order.

Three modules: how AI actually works, the tool landscape, and prompt engineering with a workflow you build yourself. The prerequisite for every domain track.

Six weeks of building. Engineers and founders pair up to ship an AI feature end-to-end — discovery, prototype, evals, launch. Real production work, real users.

Three courses for early-stage founders: AI for product discovery, AI as your first engineering hire, and AI for go-to-market. End with an MVP and a launch plan.

When to use AI (and when not to), build-vs-buy, RAG vs fine-tune, eval-driven development, latency-cost trade-offs, and the metrics that matter for AI features.

Production RAG, agents, evals, observability, guardrails. Eight weeks for engineers who want to ship AI features that survive on-call.

For VPs and senior leaders. Build the AI portfolio thesis, allocate capital, design the operating model, and turn AI from a series of pilots into measurable enterprise outcomes.

For CEOs, COOs, CFOs, and board members. Frame the AI portfolio at the board level, govern risk, and lead the transformation through to landing.

For designers, illustrators, and creative directors. Image and video generation, brand-faithful style transfer, AI in the creative process, and the rights conversation.

For executive, life, and career coaches. AI as a thinking partner, session prep and follow-up automation, client communication, and the ethics of AI-assisted coaching.

A combined five-week track. Course 1 secures the AI systems you ship (OWASP LLM Top 10, prompt injection, red-teaming with PyRIT & garak). Course 2 puts AI into your SOC (triage, IR, phishing & deepfake detection). Course 3 governs AI risk at the executive and board level (NIST AI RMF, ISO 42001, EU AI Act).

For practising attorneys. Enterprise legal AI tooling, privilege-safe workflows, contract review automation, deposition prep, AI in evidence, and firm AI policy drafting under Rule 1.1.

AI in the marketing stack: campaign ideation, content production at scale, attribution, brand-voice guardrails, and the metrics that separate efficient from chaotic AI use.

AI in wealth management and planning: research automation, client communication, compliance-safe note-taking, and the suitability obligations that don't change when an AI helps.

For practising clinicians and informaticists. Ambient scribes, clinical decision support, HIPAA-safe deployment, AI bias audits, and how to evaluate the next AI feature your EHR pushes out.

For undergraduates. AI as a study buddy without cheating, AI in research and writing, building your first project with AI, and the early-career advantage of being AI-fluent now.

For ages 13–18. Hands-on AI: how it works, how to use it safely, how to build something small with it, and how to spot the rubbish. Parents welcome to observe.