ML Foundations for Product Managers


2 Days


Cohort-based Course

ML foundation models, case studies, and frameworks for succeeding in AI-led product teams. Plus insights into new roles & AMA with ML Execs.

Previously at

Stanford University

This course is popular

4 people enrolled last week.

Course overview

Elevate Your Product Game in this rapidly evolving AI Age

According to a 2023 MIT study, a significant transformation is underway in the global business environment, with Artificial Intelligence (AI) at its core. It's projected that 80% of companies globally will incorporate Machine Learning (ML; a subset of AI) into their product offerings, marking a pivotal shift in how industries operate.

For product professionals, acquiring a deep understanding of ML (technology that powers ChatGPT), is no longer optional; it's essential for establishing credibility, making informed decisions, and effectively collaborating with engineering teams.

Cut through the noise and level up your ML game with this Weekend LIVE cohort-based course.

Course Duration: 6 hours over a weekend + 2 hours Bonus AMA session with two ML Executives.


Interactive live sessions with a blend of lectures, case studies, breakout discussions, and a hands-on AMA session with Amit, and another ML Executive and Founder from Stanford.

Day 1: Understanding the AI-Driven Product Landscape (3 hours)

Introduction to AI in Product Management

- Overview of AI's impact on product design, development, and management

- Emerging trends and technologies shaping the AI product space from foundational ML models to multi-modal AI.

Modeling Fundamentals

- Introduction to Foundation ML Models and their use-cases

- Multi-Modal AI with Foundation Models

- Interactive case study from a startup infusing AI into their services to disrupt market space

AI Product Management Frameworks

- Introduction to new roles in AI product teams (e.g., AI Agent Designers, Prompt Engineers, AI Explainability Engineers, Conversational AI Designer, AI Policy and Regulation Advisor)

- Frameworks for decision-making in AI product management (e.g., choosing between custom built vs. off-the-shelf open-source AI models)

Developing AI-Infused Products

- Understanding the AI product lifecycle and roadmap

- Key stakeholders in AI product development and their roles

- Understating the tradeoffs between fine-tuning a custom model vs deploying an existing open source model.

Case Study Analysis

- Real-world examples of AI product leadership from Silicon Valley Startups, and big tech companies like NVIDIA, Microsoft, and SAP Labs.

- Practice Product Case Questions from Big Tech and AI Startups (interactive exercise)

Day 2: Advancing Your Career in AI Product Management (3 hours)

Crafting Your AI Product Career Path

- Strategies for identifying and seizing opportunities in AI product management

- How to evaluate and select companies at the forefront of AI innovation

Skills and Competence Development

- Key skills for AI product managers and leaders

- Systematic approaches to skill and career development in the AI context

Career Growth and Recognition

- Strategies for gaining visibility and recognition in your AI product role

- Planning for promotions and advancing to leadership positions

Review, Reflection, and Roadmap

- Reflecting on key takeaways

- Developing a personalized action plan to navigate your AI product career

Bonus Sessions

Navigating product journey in this fast evolving AI landscape:

Elevate your PM skills to develop products in an AI-driven world.

In-depth Q&A with Amit and Anand, ML Execs with decade of experience in building AI products:

An opportunity to ask Amit and Anand, specific questions about careers in AI product management and receive personalized advice.

Course Features

Interactive Case Studies: Insights from leading AI products and companies.

Hands-on Frameworks and Templates: Practical tools for elevating your product skills and managing your growth.

Exclusive Insights: Lessons from experiences at NVIDIA, Microsoft, and Silicon Valley Startups.

Networking Opportunity: Connect with fellow aspiring AI PMs and leaders in your cohort.

"My AI PM Plan" Document: Participants will develop a personalized plan, outlining concrete steps to advance their AI product management career.

Who is this course for


For aspiring Product Managers who want to level up their AI Skills and Frameworks to build better products.


For product leaders and executives looking at ways to infuse Generative AI into their existing products


This course is not an introduction to Generative AI and not a prompt engineering guide for PMs.

What you’ll get out of this course

Interactive Case Studies & Exercises to level up your AI PM Game

Insights from leading AI products built by Silicon Valley companies with real-world cases that you solve with the instructor.

Hands-on Frameworks and Templates

Practical tools for elevating your product skills and managing your career growth in the rapidly evolving AI Age.

Exclusive Industry Insights

Lessons from experiences at NVIDIA, Microsoft, and Silicon Valley Startups.

Networking Opportunity

Connect with fellow aspiring AI PMs and leaders in your cohort. Free Slack Community for networking: many people will find a job or an avenue to hire product managers and leaders in these sessions.

Craft your "AI PM Plan" Document and get it reviewed by experts

Participants will develop a personalized plan, outlining concrete steps to advance their AI product management career based on the skill sets learned in the course.

This course includes

4 interactive live sessions

Lifetime access to course materials

9 in-depth lessons

Direct access to instructor

4 projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules
  • Bonus


    • AMA with Amit on managing AI products

    • AMA with Amit & an ML Executive on changing AI landscape and AI Startups

What people are saying

        Amit's work in crafting ML products has been well regarded by CxOs. He also goes above and beyond in mentoring and coaching product teams, especially in Agile development.
Patrick Kelly

Patrick Kelly

Senior Director, Databricks
        As a product leader in the field of technology and innovation, I've witnessed Amit's dedication to championing responsible AI usage incorporating real-world case studies. He simplifies complex topics, making them accessible and actionable for Product Managers like yourself.
Sarvi Naderzad

Sarvi Naderzad

Product Leader, Comet
        Amit's personalized advice and deep industry insights have equipped me with the tools I need for success. His valuable insights into product leadership, and targeted feedback is invaluable. I'm looking forward to our next steps.
Anil Maheshwari

Anil Maheshwari

Telco Cloud Leader, AWS
        Amit's advice for my startup at the Stanford Accelerator, truly changed our trajectory for the better. His recommendations on using alternative multi-modal language models helped us in accelerating our go-to-market tremendously. His recommendations also worked much better than our original architecture. Truly recommend his mentorship.
Sazzad Shah

Sazzad Shah

Startup Founder | Stanford HAI
        Meeting Amit for guidance was enlightening. His advice on job search strategies opened new perspectives for me. His clear explanations and valuable tips were a game-changer. I've shared my resume for his feedback, and I'm eager to refine it with his insights for my specific field. Looking forward to further discussions.
Ajinkya Bhosale

Ajinkya Bhosale

Sr. Product Manager
        Attending Amit's workshop was a game-changer for my job search strategy. His practical advice, coupled with the opportunity to receive direct feedback on my resume, has significantly boosted my confidence. Amit's expertise is remarkable, and his guidance invaluable.
Junyi Li, MBA

Junyi Li, MBA

        Amit has been a pivotal figure in my transition to a product role. His mentorship went beyond professional advice, offering insights into the nuances of product management, stakeholder communication, and strategic planning. Thank you so much for being a big part in both my professional journey and the strategic direction of my startup.
Mergen Zhumabay

Mergen Zhumabay

Stanford MBA

Meet your instructor

Amit Badlani

Amit Badlani

Artificial Intelligence Product Leader and Startup Advisor

Amit is currently a Director of Product in AI / ML and a Startup Advisor at Stanford accelerator. Prior to his current role, Amit was a product leader at NVIDIA, spearheading the design of generative AI platforms that empower enterprises worldwide.

Through his career in product management, Amit has interviewed 1000s of candidates for product roles in the ML space and has mentored 100+ aspiring product managers and leaders.

Amit holds a dual Master's in Electrical Engineering and Management Science from Stanford University and his ML research has resulted in over 50 research publications and patents establishing him as a thought leader in the field. His work has also been featured at the Consumer Electronics Show (CES), Mobile World Congress (MWC), GPU Technology Conference (GTC) and Red Dot Product Design Awards.

Amit was also awarded the prestigious EB-1(a) "Einstein" visa by the US Government for his extraordinary ability in AI product leadership.

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Join an upcoming cohort

ML Foundations for Product Managers

Summer Cohort

$550 USD


May 11—12, 2024

Payment Deadline

May 11, 2024

Bulk purchases

Course schedule

6-8 hours per weekend
  • May 11, 2024 (Saturday)

    12:00 noon - 3:00pm EST

    First day will cover introduction to generative ai, transformer architecture and foundation models needed to cover most use cases. This will also include 4 live. exercises to learn as we go.

  • AMA with Amit (Saturday)

    3:00 PM To 4:00 PM EST

    AMA with Amit on managing AI products at big tech and silicon valley startups.

  • May 12, 2024 (Sunday)

    12:00 noon - 3:00 PM EST

    Second day will cover natural language understanding, use of conversational ai to improve products and guardrails necessary for developing applications. This will also include 2 case real case studies and a 45 min live session at the end for any questions.

  • Special Guest lecture (Sunday)

    3:00 PM To 4:00 PM EST

    Will include a guest lecture from a senior ML executive, also a Stanford graduate and a dear friend working in the industry for 10+ years. 45-min lecture and 15-min AMA.

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

I work full-time, what is the expected time commitment?
What happens if I can’t make a live session?
Can I get access to Amit as new situations come up in my AI PM career?
Will this teach me basics of Generative AI?
I am someone looking for my next job. How will this course help me find a good job, especially in today's tough job market?
Will a certificate of completion be issued?
What's the refund policy?

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A pattern of wavy dots
Join an upcoming cohort

ML Foundations for Product Managers

Summer Cohort

$550 USD


May 11—12, 2024

Payment Deadline

May 11, 2024

Bulk purchases

$550 USD

2 Days