Start with fundamentals.
Then practise judgment.
We don't teach AI fundamentals — the labs that build the models do that better than anyone. What we teach is what a Business Analyst, PM, Scrum Master, PO, Release Manager, Product Manager or Engineering Manager does with AI on a Tuesday at 3pm. Seven role coaches, 174 DocLab requirements-practice scenarios, 60 decision sims and 26 stakeholder roleplays. This page is the curated bridge.
Take the 12-Q AI Readiness diagnostic.
60 seconds. Anonymous. The result tells you whether you should start with fundamentals (Step 1 below) or jump straight to role-specific practice (Step 2).
AI fundamentals — free entry points from the labs themselves.
Six curated primers. We're not affiliated, we just think these are the highest signal you'll find. Pick one; do it; come back.
Prompt Engineering Interactive Tutorial
The clearest, most practitioner-honest intro to prompt design from one of the leading AI research labs. Hands-on notebooks with real examples.
Google AI Essentials
Google’s 10-hour entry course on workflow integration. Covers prompts, productivity, ethics. Coursera credentialed.
ChatGPT for Everyone (DeepLearning.AI)
Andrew Ng’s short course on prompt engineering with the OpenAI API. Free audit. Clear, opinionated, model-agnostic principles.
Generative AI Explained (Free, self-paced)
NVIDIA Deep Learning Institute’s free conceptual primer on how generative AI actually works under the hood. No code required.
AI for Beginners (GitHub curriculum)
12-week structured curriculum from Microsoft Research. The deepest free resource on this list. Skip ahead if you only want LLMs.
Microsoft Copilot — Adoption & Productivity (Microsoft Learn)
The official Microsoft Learn path for Copilot inside Microsoft 365 — Word, Excel, Teams, Outlook. Most enterprise leaders will hit AI through Copilot first; this is the cleanest free on-ramp.
Using GitHub Copilot (GitHub Learn)
For functional leaders who pair with engineers — what GitHub Copilot actually does, what it gets wrong, and the questions you should be asking your devs about it.
AI for Everyone (Andrew Ng)
The original "non-technical leader’s primer" on AI strategy, projects and workflow. Free audit on Coursera.
Linked in good faith. Course content, prices and availability are owned by each provider. We earn nothing from these links.
Now practise judgment in your seat.
Pick the role that matches your reality. Each track has a coach with memory, 10 role modules, role-specific decision sims, stakeholder roleplays, an inbox of weekly inputs and DocLab requirements practice (~25 scenarios per role across 80 document types).
Requirements extraction, scope shaping, AI-assisted research. DocLab practice for BRDs, FRDs, RTMs, gap analyses, UAT plans.
AI-augmented planning, status synthesis, risk navigation. DocLab practice for charters, status reports, RAID and change-control memos.
Team facilitation with AI — retros, blockers, velocity signals. DocLab practice for sprint plans, DoR/DoD and retro reports.
Backlog grooming, hypothesis testing, AI-augmented discovery. DocLab practice for stories, ACs, epics, prioritisation memos, release notes.
Cut planning, governance, AI-assisted release notes. DocLab practice for release plans, runbooks, PRR, CAB, canary, DR.
Outcome OKRs, PMF signals, roadmap sequencing. DocLab practice for PRDs, vision docs, OKRs, GTM plans, roadmaps, board updates.
Capacity planning, 1:1s, ADRs, RCAs, hiring loops, tech-debt narratives for AI-augmented teams.
Talk to a founding coach. 30 minutes. Free.
We will look at your readiness score, tell you the one thing we’d ship in the next 30 days, and — honestly — tell you when LeadAI is not the right fit. Most of these calls do not turn into a sale. They turn into a clearer plan.