AI-Augmented PM
Speed up decisions and delivery with AI: delegate to an assistant, prioritise by outcomes, write specs engineers and agents understand, then measure the effect of what you ship.
- 5 courses
- 14 hr 15 min
- Junior to Advanced
Who it is for
- Product managers and product owners who want to bring AI into their daily work, from discovery to measurement.
- PMs who work with AI coding agents or are getting ready to.
- PMs who want to back their decisions with data.
Prerequisites
- Everyday product practice (backlog, roadmap, specs) with an engineering team.
- An account on a chat assistant; a free plan is enough for most exercises.
- Being able to read a chart and compute a percentage; no statistics training is needed, SQL helps but is optional.
How the path is built
The path follows a PM's work cycle: delegate what can be delegated, decide what to build, specify it, then measure. AI helps at every stage without ever replacing your judgement.
Stage 1
Delegate to AI
Decide what to hand to AI, write prompts that produce usable results, check what it produces and set up an assistant for recurring tasks. You leave with prompts tested on your own deliverables and a configured assistant.
Stage 2
Decide by outcomes
Choose between initiatives based on the outcomes you aim for, pick the right prioritisation method and publish a Now, Next, Later roadmap. You finish with the roadmap of your product, tied to measurable outcomes.
Stage 3
Specify for people and agents
Write a spec that an engineer and an AI coding agent can execute without guessing, with testable criteria, then check that what ships matches the intent. You leave with the spec of a feature and its versioned intent file.
Stage 4
Measure and decide
Instrument the product, read funnels and cohorts, then design and analyse an A/B test when it is the right method. You leave with a tracking plan, a dashboard, an experiment protocol and decision memos.
Instrument a product and use data to make decisions · Design and analyze an A/B test
The common thread and the final deliverable
The common thread is your product and one bet you move forward: prioritised in the roadmap, specified for the team and the agents, then measured.
Final deliverable: A decision → spec → measurement cycle backed by AI.
The 5 courses, in order
Each course has its own page: detailed syllabus, prerequisites and deliverable.
Prompting for Product Managers: delegate, describe, verify
Junior2 hr 45 minMake AI a reliable tool for your PM deliverables: what to delegate, how to describe, how to verify, then an assistant set up for recurring tasks.
Prioritize and build an outcome-based roadmap
Advanced2 hr 30 minArbitrate between streams of work from measurable outcomes and publish a Now, Next, Later roadmap that owns its uncertainty.
Write specs that developers and AI agents understand
Advanced2 hr 30 minWrite a spec a developer and a coding agent can execute without guessing, then check that what ships matches the intent.
Instrument a product and use data to make decisions
Advanced3 hr 30 minInstrument an existing product as a team (tracking plan, identity, quality, CNIL compliance), analyse funnels and cohorts, and bring a data-backed decision.
Design and analyze an A/B test
Advanced3 hrDecide whether to test, write the protocol, size it, analyze without fooling yourself, and decide.
What buying the path gives you
- Access to the courses the path holds on the purchase date; courses added to the path later are not included.
- Lifetime access: for as long as Module operates, with updates to the content of these courses.
- A certificate for every course you finish.
- One payment via Stripe, no subscription, with an invoice.
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