AI Product Management Bootcamp & Certification by AI Product Academy

Dr. Marily Nika

GenAI Product @Google, Meta | 3 x Author

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27 people enrolled last week.

Become an AI PM: from AI-enhanced workflows to frontier-grade AI products.

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🏆 Maven's #1 AI PM Certification — Webby-nominated, on Lenny's List. 30,000 alumni. By Dr. Marily Nika (Google, ex-Meta, PhD in ML) with Constantinos (Anthropic, ex-OpenAI), Deb Liu (ex-CEO, Ancestry) & guest PMs from Amazon Alexa+ & Meta Superintelligence Labs and OpenAI.

✨ In 5 weeks you'll learn to do the job: work AI-enhanced (research, PRDs, prototyping — no code), build AI-powered products, evaluate them the way frontier labs do, and think in architecture, agents & strategy.

🛠 Tools: Claude & Claude Code · Gemini/AI Studio · ChatGPT · Perplexity · NotebookLM · v0 · Lovable

🚀 And you'll prove it: build, eval & launch a real AI product with our engineers, then pitch it at Demo Day. Certification + a portfolio piece interviewers ask about.

💼 Alumni work on AI products at Google, Meta, Amazon, Microsoft & startups.

💎 Nothing wasted: your payment credits in full toward the AI Builder Fellowship within 60 days.

🧑‍💻 1:1 support: your own mentor + 3h of 1:1 time with software engineers.

Why it's the signature bootcamp: ⚡ We start AI-enhanced and graduate AI PMs 🏗️ Faculty from Anthropic, Google, Meta & Amazon 🎓 WhatsApp community · Maven Guarantee

What you’ll learn

How to build, eval & ship a real AI product and become an AI Product Manager.

  • Understand LLMs and the AI product lifecycle — where AI belongs in a product, and where it's theater.

  • Validate a product opportunity with Perplexity & NotebookLM; draft and red-team PRDs, specs & strategy docs with Claude, Gemini & ChatGPT.

  • Prototype from idea to clickable with AI Studio, v0 & Lovable — then go deeper in a dedicated Claude Code session.

  • Evals foundations: scoping, datasets & golden sets — the questions every AI PM gets asked.

  • Measuring success in AI products: the metrics that matter and when to use each.

  • Advanced evals with expert faculty — quality bars you can defend to leadership.

  • Productionization & architecture with an Anthropic engineer: cost, latency & quality trade-offs.

  • Agentic AI & skill building for PMs, taught by an ex-Meta Superintelligence lead.

  • Conversationality as a product (Amazon Alexa+ Sr. PM) and a live neural network simulation (ex-Meta Reality Labs Group PM).

  • AI product strategy session with Deb Liu (former CEO, Ancestry; ex-VP Meta).

  • Build-vs-buy, roadmap judgment, and communicating AI decisions upward.

  • Interview frameworks and positioning for AI PM roles.

  • Build, evaluate & launch a real AI product with dedicated engineer support and a capstone manager guiding you.

  • Pitch Workshop with Marily — story, metrics, objection handling.

  • Present at Demo Day and earn Maven's #1 AI PM Certification.

  • Use the 5 hours any way you wish.

Learn directly from Marily

Dr. Marily Nika

Dr. Marily Nika

Gen AI PM Lead @ Google | ex-Meta, Fellow @ Harvard | Webby Nominee | Author x 3

Google
Meta
DeepMind
Harvard University
Stanford University
See all products from Marily

Who this course is for

  • Product leaders & PMs of every background who want the full journey, build, eval & ship a real AI product & lead AI. No coding needed.

  • Job seekers at all levels who want the field's most recognized certification plus a launched portfolio product that proves it.

  • Engineers & data scientists moving into AI product roles who want to add product judgment, evals fluency, & a shipped product to their story

What's included

Dr. Marily Nika

Live sessions

Learn directly from Dr. Marily Nika in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

20 live sessions • 76 lessons • 3 projects

Week 1

Nov 16—Nov 22

    Nov

    16

    [AI PM Bootcamp] Introduction to LLMs and AI Lifecycle

    Mon 11/165:00 PM—6:00 PM (UTC)

    Nov

    20

    [AI PM Bootcamp] - The Artifact Generator: PRDs, Specs & Strategy Docs (Claude, Gemini, ChatGPT)

    Fri 11/205:00 PM—6:30 PM (UTC)

    Nov

    16

    Optional: [AI PM Bootcamp] Orientation with Marily & virtual networking

    Mon 11/164:30 PM—5:00 PM (UTC)
    Optional

    Phase 1: Building AI Products 101

    15 items

    Phase 1: Traditional AI Deep Dive 101

    13 items

    Phase 1: Strategy, XFN Collaboration

    8 items

    Phase 1: AI, Algorithms & Applications Map

    5 items

    Phase 1: Why AI Might fail you & when NOT to use it

    3 items

    Nov

    17

    [AI PM Bootcamp] - Validate a Product Opportunity (Perplexity, NotebookLM)

    Tue 11/175:00 PM—6:30 PM (UTC)

Week 2

Nov 23—Nov 29

    Nov

    23

    [AI PM Bootcamp Capstone] Capstone Project Walkthrough and Kick-off

    Mon 11/236:30 PM—7:30 PM (UTC)

    Phase 2: Advanced AI Product Management: What to expect 🤖

    4 items

    Phase 2: GenAI Deep Dive

    9 items

    Phase 2: LLM Deep Dive by Sr. ML Scientist, Alexa

    6 items

    Phase 2: LLM Academic resources

    8 items

    Phase 2: Your AI Product Org in the making

    4 items

    Phase 2: Defining your AI Product Strategy

    4 items

    Nov

    24

    Evals: Intro Workshop — AI Literacy 101, AI Evals and You

    Tue 11/245:00 PM—6:00 PM (UTC)

    Nov

    24

    Evals: Foundations, Scoping and Datasets

    Tue 11/246:00 PM—7:00 PM (UTC)

    Nov

    25

    [AI PM Bootcamp] - Prototyping with AI, Part 1: Idea → Clickable (AI Studio, v0, Lovable)

    Wed 11/255:00 PM—6:30 PM (UTC)

    Nov

    27

    Measuring success in AI Products (Marily)

    Fri 11/275:00 PM—6:00 PM (UTC)

    Nov

    26

    Claude Code Deep Dive

    Thu 11/265:00 PM—6:00 PM (UTC)

Free resource

Why technical excellence isn't enough for AI products cover image

Why technical excellence isn't enough for AI products

The three failure patterns technical teams miss

Learn why models fail under ambiguity and how to avoid "smart-sounding" but outdated, deterministic product thinking.

Develop a New Dimension of AI Product Sense

Go beyond architecture and benchmarks to steer AI products correctly, get value, and anticipate technical shortcomings.

Building Blocks: Workflows, MCP, and Subagents

Understand the core components of modern AI products through a strategic teardown of a high-level personal OS setup.

From Workflow to Skill: A Live Build Demo

Watch a live demo of capturing a day’s work and transforming it into a functional, repeatable AI skill.

Deploying Useful Skills with OpenClaw

Learn the technical setup for skills using OpenClaw to move past "cool demos" into building actually useful AI tools.

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