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AI courses for Product Managers

16 online courses to use AI in your PM work, then design and ship AI features in your product. Each one is short and ends with a deliverable built on your own product.

Use AI in your PM work

Understand what an LLM does, phrase your requests well, choose your tools and protect your data.

  • AI & ProductivityAdvancedRegular practice: you already use the tools or work on this topic.

    Build reliable Claude Skills for your product work

    Turn a recurring method into a Claude skill that triggers at the right time, tested, secured and shareable.

    2 hr 30 min

  • AI & FundamentalsAll levelsNo prerequisites: accessible to everyone.

    Choosing and using AI tools at work

    Understand what AI assistants do and their risks, write a clear request, then pick the right tool and mode with a reusable grid.

    1 hr 40 min

  • AI & FundamentalsJuniorSome basics are useful: introductory knowledge of the topic.

    Prompting for Product Managers: delegate, describe, verify

    Make 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.

    2 hr 45 min

  • AI & FundamentalsAll levelsNo prerequisites: accessible to everyone.

    Understand what LLMs do well, and where they fail

    Decide, task by task, what to delegate to an LLM, what to verify and what to keep, based on an accurate picture of how it works.

    2 hr

  • AI & FundamentalsAll levelsNo prerequisites: accessible to everyone.

    Use AI at work without exposing your data or your company

    Sort your information, configure your tools by plan, protect people and the company, and write your team’s AI policy.

    2 hr

Build AI features

Assistants, RAG, structured outputs, agents, evaluation, security and production monitoring: what the PM specifies and checks.

  • AI & ProductAdvancedRegular practice: you already use the tools or work on this topic.

    Build an AI assistant for your product

    From idea to deployment of an AI assistant that addresses your users’ needs, step by step.

    3 hr

  • AI & ProductAdvancedRegular practice: you already use the tools or work on this topic.

    Design a RAG architecture that fits your product

    Decide whether you need RAG, then spec each stage: sources, chunking, retrieval, access rights, freshness, cited answers and cost, with 30 test questions.

    3 hr 30 min

  • AI & ProductAdvancedRegular practice: you already use the tools or work on this topic.

    Evaluate an AI feature: test sets, metrics and LLM judges

    Decide on evidence that an AI feature is ready: criteria, versioned test set, grading, calibrated judge, metrics and release gates.

    3 hr

  • AI & ProductExpertAdvanced level: for deeper mastery and specialization.

    Ship and monitor an AI feature in production

    Launch an AI feature in stages, then know at any time what it costs, how long it takes and whether it answers well.

    3 hr

  • AI & ProductAdvancedRegular practice: you already use the tools or work on this topic.

    Get reliable, product-ready AI outputs (JSON, schemas, function calling)

    Turn a model’s answer into data the product can read without guessing: choose the mechanism, design the schema, plan for failures, version the contract, test it on 20 cases.

    2 hr 30 min

  • AI & ProductExpertAdvanced level: for deeper mastery and specialization.

    Design reliable agents and tool calling

    Decide when an agent is worth it, then design tools, the loop, human approvals, injection defenses, traces and evaluation.

    3 hr 30 min

  • AI & ProductAdvancedRegular practice: you already use the tools or work on this topic.

    Connect AI to your tools and data with MCP

    Decide when MCP serves your product, connect an existing server read-only, counter its risks and decide whether to expose your own.

    2 hr 30 min

  • AI & ProductAdvancedRegular practice: you already use the tools or work on this topic.

    Secure an AI product: prompt injection, guardrails and the AI Act

    An AI risk register with OWASP, testable layered guardrails, red teaming and incidents, and an AI Act analysis after the Digital Omnibus.

    3 hr

Prototype and code with AI

Drive a coding agent to build a web tool, from the first version to going live.

  • AI & DevelopmentJuniorSome basics are useful: introductory knowledge of the topic.

    Build and ship a web app with an AI coding agent

    From idea to public URL with Claude Code: frame, plan then build, iterate with Git, publish from GitHub.

    2 hr 45 min

  • AI & DevelopmentAdvancedRegular practice: you already use the tools or work on this topic.

    Add a database, authentication and payments to your app

    User accounts, data protected by access rules and a Stripe payment held on the server: have an agent build each piece, then check it yourself.

    4 hr

  • AI & DevelopmentAdvancedRegular practice: you already use the tools or work on this topic.

    Work with Claude Code on a real project: context, planning, review

    Context and CLAUDE.md, exploring and planning before coding, permissions, hooks and a review workflow in place on your repository.

    3 hr

Where to start?

AI learning paths

Several courses in a deliberate order, at a reduced price.

Frequently asked questions

Is the first course free?
Yes. When you sign up, you pick one free course. The next ones are bought one by one, as a learning path, or all included in the Pass.
Are the courses available in French?
Yes. Every course is available in English and French, with the same syllabus.

Start with a free course