Advanced AI Product Leadership Certification by AI Product Academy
Dr. Marily Nika
GenAI Product Builder @Google, ex-Meta
Already an AI PM? Skip the fundamentals — immersive learning from AI PM leaders.
Already an AI PM? Skip the fundamentals. Spend two weeks with the people building AI at the frontier.
🏆 By AI Product Academy (Maven's #1 AI PM school, 30,000 alumni) — with Constantinos (Anthropic, ex-OpenAI), Deb Liu (ex-CEO, Ancestry), George Nezire (Advanced Evals) & guests from Amazon Alexa+ & Meta Superintelligence.
✨ 2 weeks, all depth: productionization & architecture with an Anthropic engineer, advanced evals in AI products, agentic AI & skill building, conversationality as a product, a live neural network simulation, and AI product strategy with Deb Liu.
🛠 Taught for PMs, in PM language — no code required.
📜 Advanced AI Product Leadership Certification included.
💎 Nothing wasted: your payment credits in full toward the AI Builder Fellowship within 60 days.
Why leaders pick this:
⏱️ 2 weeks, built for busy calendars
🎤 Six expert sessions: Anthropic, Amazon, Meta alumni & a former CEO
🏢 The content behind our private corporate trainings
What you’ll learn
Skip the fundamentals: 2 weeks with leaders from Anthropic, Amazon & Meta — productionization, advanced evals, agents & AI product strategy.
Architecture, cost, latency & quality trade-offs — live with an Anthropic engineer (ex-OpenAI).
What separates a working demo from a product real users depend on.
The questions to ask engineering — and the ones they'll ask you.
Go beyond basics: eval design, failure hunting & quality bars for products in market.
Set ship/no-ship thresholds you can defend to leadership with evidence.
Know when to hold a launch — and how to say it.
Agentic AI & skill building for PMs, from an ex-Meta Superintelligence lead.
How agents use tools, memory & orchestration — and what PMs own in the design.
Spot which workflows deserve an agent (and which don't).
Conversationality as a product — taught by an Amazon Alexa+ Sr. PM.
See how neural networks actually behave in a live simulation (ex-Meta Reality Labs).
Translate model behavior into product decisions.
AI product strategy with Deb Liu — former CEO of Ancestry, ex-VP at Meta.
Identify the highest-leverage AI opportunities; decide build vs. buy.
Draft an AI strategy you can bring to your exec team.
Practical guardrails for responsible model behavior, data use & governance.
Understand emerging regulation and how it shapes product decisions.
Lead teams through the shift — communication, org design & trust.
Learn directly from Marily
See all products from Marily
Who this course is for
Senior AI PMs & product leaders already doing the job — you've outgrown the fundamentals and want the depth.
Busy senior PMs & leaders who need frontier-level depth without a 5-week commitment — two weeks, six expert sessions, no code.
C-level execs staffing AI product orgs — foster an AI-first culture. (Ask us about private cohorts)
What's included
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
5 live sessions • 42 lessons • 2 projects
Live sessions
2-4 hrs / week
Core learning will be delivered within the scheduled time however we do see Q&A run over time.
Async content
1 hr / week
Week 1
AI / ML Ecosystem
Intro to transformers, LLMs, Gen Media and Tool demos
Your AI Product org in the making
Let's talk about the organization you are/will be leading and how to staff it with the right competencies and mindsets.
AI warnings & AI Tools
Crafting your org's AI Product Strategy
Algorithms & Applications
AI application map, frameworks for decision making
Anatomy of an AI product
ML/LLM In the making
This module is optional because it contains a deeper technical dive than a typical AI PM would need for their day to day, however we find value in the learnings of our Sr ML Scientist from Amazon Alexa around LLM Evaluation, Metrics and Benchmarks / Tools.
[Optional] Exercises
Exercises provided in case you want to play around with some of the content discussed
MLOps
Definitions, AI Development Lifecycle, Key stages of MLOps, MLOps Pipeline deep dive
LLMOps
With OpenAI as a Case Study
Architecture & Infrastructure
Infrastructure - ChatGPT Case Study
MLOps Slides
Templates for you and your teams
Dec
1
Productionization with Anthropic Lead (ex-OpenAI Leadership)
Dec
2
Advanced Evals in AI Products
Dec
4
Agentic AI & skill building for PMs (Architecture) — ex-Meta Superintelligence Lead
Week 2
Dec
7
Case Study: Conversationality as a Product (Amazon Alexa+ Sr. PM)
Dec
8
Neural Network Sim by Group AI PM @ Meta Reality Labs
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Testimonials
- I absolutely loved the way this course was structured where we heard from such renowned folks from the industry, and got our hands dirty by actually coding our way to be a successful AI Product Manager. Thanks Marily :)
Manasi K
Product TPM Lead at Meta - The course provides tons of applicable information in a fast moving and growing space. Marily leaves space for live Q&A so you can learn from her and others, leading to an outcome that you're meaningful more smart than before you took the course. There's a balance of foundational knowledge and more advanced.
Stu M.
Senior Director at GoodRx - The greatest part of the course is how Marily and her network gave exposure to the class. Loved that bit to see how folks are doing it IRL.
Stephen B.
CPO at Heycar - Great content to get a grasp AI concepts. Very engaging classes with relevant AI guest speakers.
Mihai C.
Product Development Team Lead - Super insightful and informative course. The course provides hands-on exercises that enables PMs to get familiar with building and running models. The highlight for me was sessions from engineering leaders on productionizing as well as PM leaders on how to evaluate if AI is the best route to go when solving problems.
Hermanth S.
Senior Product Manager at Amazon - If you want to get really hands on with learning how AI product management works at a practical level, this is the course for you. Marily brings industry leaders from various big tech companies to share their insights, giving you (the student) the opportunity to ask questions and learn more.
Jesse C.
Senior Product Manager at Catawik
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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