AI Product Management Bootcamp & Certification by AI Product Academy
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Dr. Marily Nika
GenAI Product @Google, Meta | 3 x Author
Constantinos Neo @ Anthropic
Eng @ Anthropic, ex-OpenAI, Google
This course is popular
10 people enrolled last week.
Build, eval & ship a real AI product with builders from Anthropic, Google & Meta
Maven's signature AI PM experience: 6 weeks to build, evaluate & ship a real AI product.
🏆 Maven's #1 AI PM Certification — Webby-nominated, on Lenny's List. 100 cohorts, 30,000 alumni. By Dr. Marily Nika (Google, ex-Meta, PhD in ML) with Constantinos Neo (Anthropic, ex-OpenAI) & Deb Liu (ex-CEO, Ancestry).
✨ For PMs shipping AI experiences, features or leading Research teams: GenAI features, recommendations & matching, evals, AI platforms & APIs, research, quality hilllimbing, agentic experiences — with the model judgment to launch each one. No code needed.
🛠 Build with: Claude · Claude Code · Gemini/AI Studio · OpenAI — real products with real evals.
🚢 Capstone: ship a real AI product with evals attached & present it at the Product Review, live feedback from engineers at top AI companies + dedicated engineer support.
Want AI-native workflows too? → AI-Native PM Certification — or get everything:
OR 🚨🚨🚨🚨 Become a fellow — all Marily's courses + a free laptop
Why this is the signature bootcamp: 🧪 Evals, APIs & AI systems — made accessible 🏗️ Designed by builders from Google, DeepMind, OpenAI & Anthropic 🎓 30,000 alumni · dedicated mentors & WhatsApp community
What you’ll learn
The #1 AI PM Course, everything under the hood of AI products — models, evals, APIs, ranking, agents — taught for PMs, proven with a launch
How modern LLMs work at the level PMs need: training, context, sampling, and why outputs vary.
Failure modes in the wild: hallucination, brittleness, prompt sensitivity, cost blowups — and how to anticipate each.
When NOT to use AI: a decision framework for choosing traditional ML, heuristics, or nothing at all.
Turn fuzzy product goals into measurable success criteria: golden sets, error taxonomies, and a PM-friendly metrics menu (capability, safety
Set ship/no-ship thresholds you can defend to leadership — and know when to stop tweaking prompts and when to pause a launch.
Build eval workflows real teams can maintain: human review where it matters, automation where it lasts, and the minimum viable monitoring po
Work directly with the Claude, Gemini & OpenAI APIs: function calling, structured outputs, streaming, context management.
Understand MCP and tool use — how AI products connect to real data and systems.
Prototype with production patterns, so what you build translates to what engineering ships.
Recommendations & matching: how ranking, retrieval, and personalization actually work — and which levers PMs own.
AI platforms, APIs & agentic experiences: what changes when your product is a platform other teams build on, or an agent acting on a user's
Architecture trade-offs across all of them: latency vs. quality vs. cost, model routing, RAG vs. fine-tuning — captured in technical PRDs en
Guardrails, safety testing, and responsible AI frameworks — the job, not an afterthought.
Model monitoring, drift, and post-launch iteration: what changes after v1 ships.
Governance, bias, and regulatory context every AI PM is now accountable for.
Capstone: ship a real AI product with a working eval suite — supported by a dedicated engineer so it actually launches.
Present your product, eval results, and design choices at the Product Review, with live feedback from engineers at top AI companies.
Executive sessions with Deb Liu on leading AI product orgs, plus interview frameworks for senior AI PM roles.
Learn directly from expert instructors
Dr. Marily Nika
Gen AI PM Lead @ Google | ex-Meta, Fellow @ Harvard | Webby Nominee | Author x 3
Constantinos Neo @ Anthropic
Staff Leadership @Anthropic, ex-OpenAI, ex-Google
Deb Liu, Former CEO @ Ancestry
Board Member and Advisor, Former CEO @ Ancestry.com, Former VP @ Meta
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
Live sessions
Learn directly from your instructors 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
21 live sessions • 88 lessons • 3 projects
Week 1
Sep
8
[AI PM Bootcamp] Introduction to LLMs and AI Lifecycle
Sep
11
[AI PM Bootcamp] - The Artifact Generator: PRDs, Specs & Strategy Docs (Claude, Gemini, ChatGPT)
Sep
7
Optional: [AI PM Bootcamp] Orientation with Marily & virtual networking
Phase 1: Building AI Products 101
Phase 1: Traditional AI Deep Dive 101
Phase 1: Strategy, XFN Collaboration
Phase 1: AI, Algorithms & Applications Map
Phase 1: Why AI Might fail you & when NOT to use it
Sep
7
[AI PM Bootcamp] - Validate a Product Opportunity (Perplexity, NotebookLM)
Week 2
Sep
18
[AI PM Bootcamp] Neural Network Sim by Group AI PM @ Meta Reality Labs
Sep
14
[AI PM Bootcamp] Productionization with Anthropic Lead (ex-OpenAI Leadership)
Sep
14
[AI PM Bootcamp Capstone] Capstone Project Walkthrough and Kick-off
Phase 2: Advanced AI Product Management: What to expect 🤖
Phase 2: GenAI Deep Dive
Phase 2: LLM Deep Dive by Sr. ML Scientist, Alexa
Phase 2: LLM Academic resources
Phase 2: Your AI Product Org in the making
Phase 2: Defining your AI Product Strategy
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Schedule
Live sessions
2-6 hrs / week
You will learn from Dr. Marily Nika, and executives from Anthropic, OpenAI, Amazon, Microsoft and Meta.
Mon, Sep 7
3:30 PM—4:00 PM (UTC)
Mon, Sep 7
4:00 PM—5:30 PM (UTC)
Tue, Sep 8
3:45 PM—4:45 PM (UTC)
Projects
2-6 hrs / week
Work on a capstone project for your own real product. You get free access to a new AI prototyping tool that creates a PRD for you, that helps you prototype your product, AND that allows you to actually launch it, by having an engineer assigned to your team if you get stuck. All with no code.
Async content
2-10 hrs / week
You get lifetime access to the recorded content, so that you can learn at your own pace.
Video Testimonials
Ethan Cole, President PMLA
Kurt Lozier, CEO of Somml Health
Tejas Iyer, AI/ML Platform PM, Yahoo
Frequently asked questions
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