PROD 501: AI-Driven Product Leadership

New
·

4 Weeks

·

Cohort-based Course

Prepares Product Management Leaders to leverage AI to enhance decision-making, team leadership, and strategic planning.

Sony
Qualcomm
T-Mobile
ProQuest
HERE Technologies

Course overview

From AI-curious to AI-confident. Learn to lead AI-driven product teams.

👨‍🏫 About the Professor

With over 20 years of experience in Product Management, Product Marketing, and Product Leadership, I bring a wealth of knowledge and practical insights to this course. My career spans across technology giants like T-Mobile, Qualcomm, and Sony, where I've driven successful product launches, grown existing businesses, and entered new markets.

​​

My expertise extends beyond the corporate world into academia. I'm currently an Adjunct Professor at University of Washington’s Foster School of Business and Seattle University's Albers School of Business and Economics, where I teach Strategy to undergraduate and graduate students. Teaching allows me to blend theoretical concepts with real-world applications, preparing the next generation of business leaders.

I hold an MBA degree and an MS in Engineering degree, both from UCLA, bringing a unique combination of business acumen and technical knowledge to product management. My approach is deeply rooted in customer-centric product vision, data-driven decision making, and strategic planning.

I LOVE teaching others and I am passionate about sharing my knowledge and experience with you. Through this course, I aim to equip you with the tools, strategies, and insights needed to excel in product leadership roles in today's AI-driven business landscape.​



✏️ About the Course

I designed this course to give you the most bang for your buck. In just three weeks (with a fourth week to complete your final project), you will learn A LOT about AI and its impact on Product Leadership. This will also cover some of the impact on Product Management, but the primary focus of this course is how AI impacts Product Leaders (managers of product managers).



🧠 What you will learn:

1. In-depth AI Knowledge

  - Gain a comprehensive understanding of AI technologies relevant to product management

  - Learn to identify AI implementation opportunities in your product lifecycle


2. Enhanced Decision-Making Skills

  - Learn AI-powered analytics for data-driven product decisions

  - Develop strategies for integrating AI insights into your product roadmap


3. AI-Driven Team Leadership

  - Learn techniques for building, upskilling, and leading AI-proficient product teams

  - Understand how to foster a culture of AI innovation within your organization


4. Strategic AI Implementation

  - Develop skills to craft and execute AI-enhanced product strategies

  - Learn to align AI initiatives with overall business objectives


5. Ethical AI Product Development

  - Understand the ethical implications of AI in product development

  - Learn to implement responsible AI practices in your product lifecycle


6. Practical, Hands-On Experience

  - Apply AI tools and techniques to real-world product management scenarios

  - Develop an AI integration strategy for your own product or organization


7. Personal AI Toolkit

  - Curate a personalized set of AI tools to enhance your productivity

  - Learn ongoing strategies for staying updated with AI advancements



🙋🏻‍♀️ FAQ's

How will I learn so much in such a short amount of time?

I take a direct and no-nonsense approach to teaching; your time is too valuable to waste. And, as an adjunct university professor, I use a similar approach in this course as I do in my other classes:

- Lecture (learning concepts with examples and discussion in live classes)

- Practicum (an assignment to apply what you have learned to your work environment)

- Peer Review (group feedback on your practicums)


Is everything I learn going to be all theory and no practice?

No, that couldn't be further from the truth. You will learn AND apply your learning in this course. And, as the final project, you will develop a plan to continue building on what you've learned long after the course ends.


Are you available during the course if I have any questions?

Yes, I will be available by chat and email the entire time. Plus, if you would like, I am happy to schedule "office hours" to meet over zoom.


Are you a good teacher?

I learned growing up not to brag, but I will share that I consistently get top marks in student evaluations including the most important question - would you recommend this professor to someone else? (please refer to my testimonials)

Professor Hirsch designed this course for...

01

...Product Leaders (someone who manages PMs) looking to understand how AI impacts their role, their team, and their product strategy.

02

...senior-level Product Managers aiming to advance to a Product Leader role, seeking to develop AI-driven leadership skills.

03

...Visionary Startup Founders who recognize the critical importance of building and leading an AI-ready product team to drive innovation.

What you’ll get out of this course

A framework for identifying AI opportunities in your product lifecycle.

Strategies for leading and upskilling AI-proficient product teams.


Techniques for integrating AI into product strategy, product roadmapping, and decision-making.


Skills to evaluate and implement ethical AI practices in product development.


Hands-on experience with AI tools relevant to product management.

A personalized AI integration strategy for your product team or organization.

Insights on future AI trends and their impact on product management.

A network of peer product leaders facing similar AI challenges (being a product leader is lonely sometimes).

Enhanced ability to communicate AI value to stakeholders and executives.

Confidence to drive AI-powered innovation in your product organization.

This course includes

6 interactive live sessions

Lifetime access to course materials

2 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

Week 1

Nov 4—Nov 10

    Foundations of AI-Driven Product Leadership

    • Nov

      5

      The AI Landscape for Product Leaders

      Tue 11/59:00 PM—10:30 PM (UTC)
    • Nov

      7

      Leveraging AI for Strategic Decision Making

      Thu 11/79:00 PM—10:30 PM (UTC)
    2 more items

Week 2

Nov 11—Nov 17

    AI Product Development and Strategy

    • Nov

      12

      Building and Upskilling AI-Ready Product Teams

      Tue 11/129:00 PM—10:30 PM (UTC)
    • Nov

      14

      Workforce Development Strategies & AI Product Development Lifecycle

      Thu 11/149:00 PM—10:30 PM (UTC)
    1 more item

Week 3

Nov 18—Nov 24

    Ethics, Governance, and Future-Proofing

    • Nov

      19

      AI Ethics and Governance for Product Leaders

      Tue 11/199:00 PM—10:30 PM (UTC)
    • Nov

      21

      Future-Proofing Your Product Strategy with AI

      Thu 11/219:00 PM—10:30 PM (UTC)
    1 more item

Week 4

Nov 25—Nov 30

    Final Project

    2 items
A pattern of wavy dots

Join an upcoming cohort

PROD 501: AI-Driven Product Leadership

Cohort 1

$399

Dates

Nov 4—30, 2024

Payment Deadline

Nov 3, 2024

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What people are saying

        Michael is one of the people I go to for help when I’m facing a tough problem at work because he’s both wise and pragmatic. I have learned so much from Michael and would not be where I am without his support and advice. Not only is Michael great at what he does, he’s also kind and empathetic, and builds strong relationships...
Laura Callahan

Laura Callahan

Senior Product Manager
        Professor Hirsch's class has easily been one of my favorite courses at Seattle U...his frequent engagement with every student created a really great learning environment. Professor Hirsch's greatest strengths are his knowledge, analytical thinking, passion for teaching, and approachability.
Anonymous

Anonymous

Undergraduate Senior, Seattle University
        Michael was a great help to me and my team in helping guide us through a period of difficult transition. He's a great listener and knows when to be just a sounding board and when to bring in the hardcore advice. His feedback was always intelligent and helped us take our own ideas to the next level.
Lars Klores

Lars Klores

Director of Audience Products
        Michael was both a great counselor and had a very keen understanding of how to drive initiatives forward in large organizations. He made significant improvements to the Product Management org and really helped me become a more effective manager.
Steve Guttman

Steve Guttman

Senior Director, Product Management
        Probably the single best class I've taken at Seattle University. Professor Hirsch is incredible...amazing at leading discussion, making lectures interesting, and facilitating a great class environment.
Anonymous

Anonymous

Undergraduate Senior, Seattle University

Course schedule

4-6 hours per week

  • Tuesdays & Thursdays

    TBD based on preference; 90 minutes

    Lectures, discussions, and peer review of weekly practicums.


    November 5 & 7, 2024

    November 12 & 14, 2024

    November 19 & 21, 2024

  • Weekly practicums

    1-2 hours per week

    Practical application of what you've learned to your work environment.

  • Office Hours

    upon request

    Time to meet with Professor Hirsch; topic of discussion is your choice.

  • Final Project

    Due November 29, 2024

    Develop a comprehensive AI integration strategy for your product line or organization, incorporating learnings from all aspects of the course.

The Year-End Push: Your Secret Weapon for Q4 Product Management Success

A 45-minute webinar I created to teach product managers about The Year-End Push. (Sept. 10, 2024)

Meet your instructor

Michael Hirsch

Michael Hirsch

20+ years in Product Leadership . Adjunct professor. Product Coach. Engineer.

With over 20 years of experience in Product Management, Product Marketing, and Product Leadership, I bring a wealth of knowledge and practical insights to this course. My career spans across technology giants like T-Mobile, Qualcomm, and Sony, where I've driven groundbreaking product launches, grown existing businesses, and captured new markets.

​​

My expertise extends beyond the corporate world into academia. I'm currently an Adjunct Professor at University of Washington’s Foster School of Business and Seattle University's Albers School of Business and Economics, where I teach Strategy to both undergraduate and graduate-level students. This role allows me to blend theoretical concepts with real-world applications, preparing the next generation of business leaders.

I hold an MBA and an MS in Engineering from UCLA, bringing a unique combination of business acumen and technical knowledge to product management. My approach is deeply rooted in customer-centric product vision, data-driven decision making, and strategic planning.

I LOVE teaching others and I am passionate about sharing my knowledge and experience with you. Through this course, I aim to equip you with the tools, strategies, and insights needed to excel in product leadership roles in today's AI-driven business landscape.​

A pattern of wavy dots

Join an upcoming cohort

PROD 501: AI-Driven Product Leadership

Cohort 1

$399

Dates

Nov 4—30, 2024

Payment Deadline

Nov 3, 2024

$399

4 Weeks