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Private AI Product Management Bootcamp by the AI Product Academy

Custom AI Product training for your product management, UX, data science and engineering teams (taken by Adobe, Dell and more)

This course is no longer available.

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Previously at

Google
Meta
Harvard University
Amazon
Fortune Greece

Course overview

Unlock your team’s potential to lead in AI product innovation.

This immersive bootcamp provides the foundational and advanced skills needed to effectively build and manage AI products, empowering your organization to navigate the complexities of AI and machine learning. Learn from one of the world’s top AI product educators, Dr. Marily Nika.


⇢What's included


All content from the AI Product Academy's AI Product Management 101 course, Advanced AI PM course, as well as a Capstone Project for your team.

Live Sessions: 10 hours of interactive live sessions, including expert-led workshops by Google's Marily Nika and Sr ML Scientist at Amazon.

Asynchronous Content: Access to video lessons, resources, and homework.

Exclusive Capstone Project: Front-row learners work on real-world AI product challenges.

Offline Community: A supportive network of peers and instructors throughout the course.

Certification for your team


⇢Custom schedule for your teams

Option A

3 Online Live Sessions for your team

(~3.5h each)


Option B

2 Online Live Sessions for your team

(4he each)


Option C

1 In-person full-day training


⇢Not everyone can take so much time off

We are splitting our trainings to

Front-row Participants that will commit to completing homework assignments and the capstone project in addition to live sessions

General Attendance

That will participate in live sessions at and selected live workshops that fits their schedule.


⇢Get a custom offer/plan/pricing according to the number of employees attending

hello@aiproduct.com

Who is this course for

01

Product Managers that have not been exposed to AI that wish to develop AI-powered products

02

Leaders that wish to adapt an AI strategy for their company

03

Employees that wish to speak the same language and create strategic roadmaps for their companies

What you’ll get out of this course

Establish a Shared Language

Equip your team with common AI terminology and frameworks to streamline communication.

Strategic AI Foundations

Deepen understanding of AI/ML concepts and build strategies to leverage them in product development.

Design AI-Driven Experiences

End-to-end guidance on creating effective, AI-centered user experiences.

Achieve Product-Market Fit

Master techniques for go-to-market strategy and scaling AI products successfully.

Gain actionable, hands-on experience

With industry-leading practices in AI product management.

Create a unified AI strategy across your organization

With shared understanding and goals.


Equip your team

With insights from top AI leaders and hands-on projects tailored to your business

What’s included

Marily Nika

Live sessions

Learn directly from 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

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

3 live sessions • 75 lessons

Week 1

Nov 8—Nov 10

    Nov

    8

    [AI PM Bootcamp] Building AI-Powered Products 101

    Fri 11/85:00 PM—8:30 PM (UTC)

    Part 1: Building AI Products 101 1️⃣

    • 1️⃣

      Building AI Products 101

    • 📗

      Intro to Generative AI

    • 🔗

      You and ChatGPT

    • 📠

      AI considerations for Product Managers

    • 🎯

      Red Teaming

    • 📹

      Vertical Slice of an AI product

    • ✍️

      [Front-Row Only] Identify an AI opportunity in your sector

      Complete by Nov 10

    💻 Module 1: Introduction to AI Product Management

    • 🥅

      Outcomes & Goals

    • 📹

      [Video] Introduction to AI Product Management

    • 📹

      [Video] Differences between a Generalist PM and an AI PM

    • ♻️

      [Video] The AI Product Lifecycle

    • 📹

      [Video] You

    • 📹

      [Video] The Prototype / AI MVP

    • 📹

      [Video] Examples

    • 🌐

      Your day to day

    • 📹

      [1h] Product Manager vs Project Manager [Recorded from Community speaker series]

    • 📹

      [Video] Interviewing, metrics & the stakeholders of AI PM

    • 🧠

      Experimentation Mindset

    🧠 Module 2: Intro to AI

    Technical Deep Dive with all the knowledge you will need as an AI PM, with or without prior coding experience. Get familiarized with algorithms, model training using no-code tools, learn from our outstanding guest Senior ML Scientist at Amazon and go through all the offline resources we have put together for you.

    • 🏆

      Outcomes and Goals of module

    • 📹

      [Video] What is AI?

    • 📹

      [Video] Building AI

    • 📹

      [Video] Introduction to Algorithms

    • 📹

      [Video] Algorithm example #1

    • 📹

      [Video] Algorithm example #2

    • 📹

      [Video] Algorithm example #3

    • 📹

      [Video] Computer Architecture

    • 📹

      [Video] AI Tools

    • 📹

      [Video] Introduction to our no code AI tool

    • 📹

      [Video] Data Science Tutorial #1

    • 📹

      [Optional Video] Data Science Tutorial #2

    • 📹

      [Optional Video] Data Science Tutorial #3

    • 📚

      [Optional Book Download]

    • ✍️

      [Front-row only] Getting familiarized with Google Colab

      Submit by Nov 18

    🤖 Module 3: AI / ML Ecosystem

    • 📹

      What you will learn

    • 📚

      [Video 1] How (and why) it all started

    • 📚

      [Optional Academic Paper] Transformers

    • 🗺️

      Stanford CS25 Emergence Lecture

    • 📹

      [Optional] Jeff Dean's talk

    • 🌐

      AI Trends

    • 📹

      [Video 2] LLMs by Marily

    • 🧠

      [Video 3] Gen Media

    • 🧠

      [Video 4] AI Agents

    • 🧠

      [Video 5] AI Wearables/Hardware/Robots

Week 2

Nov 11—Nov 17

    🤖 Module 4: Model Training

    Dive into model training and neural networks. Videos, offline tutorials and homework.

    • 📹

      [Video] Evolution of LLMs/Transformers

    • 📹

      [Video] Sub-Word Modeling

    • 💟

      [Video] Sentiment Analysis LR

    • 📹

      [Video] Natural Language Processing

    • 📹

      [Video] Neural Networks

    • ✍️

      [Front-row only] Text Classification

      Complete by Nov 17
    • 📚

      [Optional] Resources / Tutorials

    🗺️ Module 5: AI, Algorithms & Applications Map by Marily

    • 🗺️

      AI, Algorithms & Applications Map

Week 3

Nov 18—Nov 24

    Nov

    22

    [AI PM Bootcamp - Webflow] Strategy & Agentic AI

    Fri 11/225:00 PM—8:30 PM (UTC)

Week 4

Nov 25—Dec 1

    📖 Module 6 - MLOps & LLMOps

    • 📚

      AI Development Lifecycle & MLOps Definitions

    • 📚

      [Optional] MLOps pipeline e2e

    • 📚

      ML Debt

    • 🌐

      LLMOps (with OpenAI as a Case Study)

    🔧 Module 7 - Architecture & Infrastructure by OpenAI Speaker

    Infrastructure - ChatGPT Case Study

    • 📹

      Talk by OpenAI Director on Productionization

    • 📹

      ML Infrastructure ~ ChatGPT Case Study

Week 5

Dec 2—Dec 6

    Dec

    6

    [AI PM Bootcamp - Webflow] Advanced AI Product Management with technical deep dive

    Fri 12/65:00 PM—8:30 PM (UTC)

    🔢 Module: Intro to Metrics & Strategy

    • 🥅

      Outcomes and Goals of module

    • ☁️

      [Lesson] Setting OKRs with 15 examples

    • ⏩

      [Lesson] Metrics

    • 📹

      [Video] Career

    • 📹

      [Video] Leadership

    • 📹

      [Video] Your Roadmap

    • 📚

      Introduction to LLM Evaluation

    • 📗

      LLM Benchmarks-and-tools

    • 🗺️

      LLM Evaluation Metrics (Statistical, Language model-based, LLM assisted)

    • 📗

      Further Reading

    🛣️ Module: Crafting your org's AI Product Strategy

    • 🗺️

      Defining your AI Product Strategy

    • ⁉️

      The Innovator's Dillema

    • ⁉️

      Costs & Trade-offs

    • 1️⃣

      Build vs Buy

    Bonus session by Marily and Silicon Valley AI Startup founder on Strategy

    • 📹

      🔴🎥 Video: Bonus session by Marily and Silicon Valley AI Startup founder

    Bonus session by Marily and guest talk by Microsoft AI VP

    • 📹

      Introduction by Marily and guest talk by Microsoft AI VP

    ⚙️ Module 9: Your AI Product org in the making

    • 📗

      Understanding AI Product org structure and leveling

    • 🏵️

      Key Stakeholders in AI Product Development

    • 🧠

      AI Product Competencies

What students are saying

Meet your instructor

Marily Nika

Marily Nika

Gen AI PM Lead @ Google | ex-Meta, Fellow @ Harvard | TED AI Speaker | 40 u 40

AI PM Newsletter (30k+)

🔗 LinkedIn (90k+)

❌ Twitter

🎥 YouTube channel

🤝 Coaching


Based in Silicon Valley, Dr. Marily Nika is an award-winning AI Product Management leader & one of the world's best AI educators, with 12+ years of experience at Google & Meta, with a PhD in Machine Learning. Featured in TechCrunch, executive Fellow at Harvard, TED AI Presenter.


Marily created the first (and best) AI Product Management Certification on Maven. Marily is also a keynote speaker (TED AI / 3 x TEDx) and has been recognized for her contributions in AI & tech several times: Amplitude most influencial product leader, medal of Outstanding Achievement, WISE Influence Award, 2020's Top 100 Women in tech, Emerging Leader Award, 2021's 40 under 40 list.


Marily is also an Executive Fellow at Harvard Business School where she teaches AI Product Management.

Course schedule

4-6 hours per week

  • Tuesdays & Thursdays

    1:00pm - 2:00pm EST

    If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students

  • May 7, 2022

    Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.

  • Weekly projects

    2 hours per week

    Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

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