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AI for Product Leaders

3 Weeks

·

Cohort-based Course

Master product leadership in the age of AI. Tech leaders from Meta show you real-life case studies frameworks to land winning roadmaps

Previously at

Meta
Oculus
Lumosity
Stanford Graduate School of Business

Course overview

Navigate the AI Landscape: From Insight to Impact for Product Leaders

AI is already opening up massive opportunities for companies across a variety of industries – and hardly a day goes by without some new breakthrough in AI surfacing. 


Keeping up with the rapidly evolving AI landscape is imperative for any leader building technology and services today. But the journey to effectively leveraging AI involves more than just excellent product leadership and understanding the technology. It demands a comprehensive grasp of how AI can reshape market dynamics, customer experiences, and value propositions. 


"AI for Product Leaders" is crafted to guide you through this intricate landscape. The course goes beyond the basics of AI, offering insights into pioneering case studies and real world examples. These examples serve not just as lessons but as springboards for innovation in your own domains.


This course is not just about understanding AI technology; it's a strategic blueprint for revolutionizing how you think about and integrate AI into your products and services. 


Over 2 weeks (4 live zoom classes), you’ll join a cohort led by an industry leader along with guest speakers who will help you to redefine the landscape of product leadership in the AI era.


Here’s what you can expect:

• Understanding today's Gen AI Tech Stack

• How to identify an AI-suitable problem

• Framework for going from AI-suitable problem to winning product

• Measuring success and goal-setting for your projects

• Considering build vs. buy decisions

• How to prioritize and place the right AI bets across your roadmap

• Building an AI-first product org

• Real-world examples and lessons from building AI products

• Building with a lens of responsible AI

• Apply learnings to real projects in your professional contexts

• Breakout discussions and opportunities to learn from other professionals

• Dedicated mentorship and personalized feedback


This course promises a highly interactive experience, allowing participants to consistently apply frameworks to address the challenges and opportunities in their current roles.

Who is this course for

01

Product leaders who want to integrate AI into existing products or build new AI-driven solutions

02

Technical leaders looking to up-level your strategic understanding of AI, stay current on the latest AI trends and build winning frameworks

03

This course is not an engineering deep dive but is more specific to those leading technical teams.

What you’ll get out of this course

Deeper understanding of the current AI landscape

Demystify AI’s current progress and it’s role in shaping industry, understanding the foundations of technology and recent advancements


Ability to identify and evaluate AI product opportunities within your context

Learn how to spot opportunities that align with your company / product’s goals and are AI-suitable problems

Strategic framework to move from problem identification to successful launch

Develop approaches to influence key decision makers with winning strategy and execution frameworks unique to AI-centric products

Practical real-world tactics for successful AI product development

Understand how to efficiently execute AI projects and avoid common pitfalls, balancing tradeoffs like cost, speed, build versus buy. Gain insight into the best practices that product leaders should follow.


Network and learn from other leaders and class participants

Benefit from the wisdom and experience of best-in-class experts and meet like-minded professionals, gaining diverse insights and perspectives that can shape your AI strategy.


This course includes

4 interactive live sessions

Lifetime access to course materials

27 in-depth lessons

Direct access to instructor

2 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

  • Week 1

    May 21—May 26

    Week dates are set to instructor's time zone

    Events

    • May

      21

      Session 1

      Tue, May 21, 4:00 PM - 5:00 PM UTC

    • May

      23

      Session 2

      Thu, May 23, 4:00 PM - 5:00 PM UTC

  • Week 2

    May 27—Jun 2

    Week dates are set to instructor's time zone

    Events

    • May

      28

      Session 3

      Tue, May 28, 4:00 PM - 5:00 PM UTC

    • May

      30

      Session 4

      Thu, May 30, 4:00 PM - 5:00 PM UTC

  • Week 3

    Jun 3—Jun 9

    Week dates are set to instructor's time zone

    Nothing scheduled for this week.

  • Post-Course

    Modules

    • Structuring AI projects/teams

    • Best practices for project and data management

    • [Project] Using the AI Strategy framework

    • Setting goals and measuring impact

    • Building responsibly, learning continuously

    • Demystifying the recent AI revolution

    • Understanding the AI / Gen AI tech stack

    • How AI should shape your roadmap

    • Identify AI-suitable opportunities and feasibility

    • Build vs. Buy

    • [Project] Using the AI Strategy Framework

What people are saying

        I'm walking away from this course with more confidence in being able to play in the AI space and the bonus is that you've also given us a lot of guide posts for how to talk about it with our stakeholders in an effective way.
Tech Leader

Tech Leader

Series D Startup
        Sunita's framework for AI Strategy was so helpful to apply to my own context, and overall felt she was a knowledgable and insightful instructor!
Director of Product

Director of Product

Fortune 500 Compay

Meet your instructor

Sunita Mohanty

Sunita Mohanty

AI Entrepreneur, Advisor, Investor | Former AI Product Lead @ Meta, Ex-Oculus

Sunita is a top AI product leader, advisor and investor who has built her career in Silicon Valley, most recently leading AI Experiences for Smart Glasses @ Meta. She previously was a founder within Meta’s incubator and has led product teams for Oculus, Facebook Growth and Lumosity.


Sunita is a trusted product advisor, helping startups and big tech companies alike build products that solve real problems. Sunita holds an MBA from Stanford Graduate School of Business and previously built an education tech machine learning startup.

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Course schedule

4-6 hours per week

  • Tuesdays & Thursdays

    9:00 - 10:00 AM PST

    • Tuesday, March 19
    • Thursday, March 21
    • Tuesday, March 26
    • Thursday, March 28

  • Weekly projects

    1 hour per week


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

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
What’s the refund policy?
What prior knowledge of experience is required to take this course?
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