Staging environment

Product Strategy in an AI-first World

4.6 (4)

·

3 Weeks

·

Cohort-based Course

For tech industry professionals who want to navigate how AI is impacting their company and product strategy. Extra small cohort (capped @12)

Previously at

Harvard University
Google
Microsoft
YouTube
Stanford University

Course overview

Unpack AI business strategy through four recent Harvard Business School cases

In this course, we will as a group, unpack 3 detailed, tech strategy HBS case studies with major AI elements (ML, Gen AI, LLM's) and learn about key business frameworks and lenses to solve business problems in general.


In my time at Harvard, we did almost 1,000 case analyses. You will get experience opening a business case, analyzing the business and an industry, analyzing business data and information, assessing the decisions facing the CEO of an AI impacted business, evaluate strategic options and tradeoffs, and analyze and debate these topics with a graduate school level of rigor.


We'll dig into answering questions like:


1. How are the industry specific forces going to change, evolve, or remain constant because of AI?


2. What strategic options are available to the protagonist companies? How should we pick a path forward?


3. What are the key metrics and data driven evidence we can use to inform our decisions and evaluate our AI-aware strategy?

Who is this course for

01

Product managers, marketers, salespeople who want to broaden their skill set and understand the strategy of AI.

02

Professionals who work with business and strategy teams and required to successfully harness AI for their planning.

03

Product Managers who want to be more successful writing up annual planning proposals especially if they will be asked about AI implications.

What you’ll get out of this course

Strategy meets AI

Understand the unique considerations for AI-first product decisions.

Business Strategy Assessment

Get practice understanding and unpacking an industry structure and company's business model and business performance including the impact of AI.

Business Analysis

Dig into the financial and business artifacts to get to the essence of a business problem including unique considerations when building AI capabilities.

Management Discussions

Experience what it's like making business decisions and advocating for them in the face of pushback and debate including when AI is introducing new tradeoffs.

Tech Industry Insights

Cases will be featuring current tech companies facing real challenges and AI opportunities relevant for today.

This course includes

3 interactive live sessions

Lifetime access to course materials

3 in-depth lessons

Direct access to instructor

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

Sep 8

    Sep

    8

    Session 1

    Sun 9/85:00 PM—6:30 PM (UTC)

    AI Wars: Microsoft-OpenAI versus Google Gemini

    1 item

Week 2

Sep 9—Sep 15

    Sep

    15

    Session 2

    Sun 9/155:00 PM—6:30 PM (UTC)

    Coursera's Foray into GenAI

    1 item

Week 3

Sep 16—Sep 22

    Sep

    22

    Session 3

    Sun 9/225:00 PM—6:30 PM (UTC)

    Driving Scale with Otto AI

    1 item

4.6 (4 ratings)

What students are saying

Free resource

Preview into 3 AI Product Strategy Cases

Let's touch a bit on the three cases we'll hit up in each of the 3 classes. At the end I'll share some free takeaways and insights.

Watch video

What people are saying

        Just completed a transformative course led by Tom Leung, delving into AI business strategy using four Harvard Business School cases. This was more than just theory; we delved deep into the practical challenges encountered by tech firms at the forefront of AI innovation, exploring areas like ML, Generative AI, and LLMs.
Shoeb Ahmed Khan

Shoeb Ahmed Khan

Business Intelligence Consultant, Pomeral Partners
        Over three years in Google Health, I saw firsthand Tom's extraordinary skills in breaking through all the complexity and distractions, crisply articulating the situation or state of affairs, understanding the essence of a product, and aligning it to customer needs in a compelling way.
John Moses

John Moses

VP, ŌURA
        Tom is a charismatic technology leader who thinks big and delivers. I witnessed Tom grow a product organization from scratch, motivate hundreds of x-functional team members and facing enormous obstacles, land a mission-critical YouTube product for millions of creators. Tom manages with empathy and passion and always keeps it fun.
Ian Fulton

Ian Fulton

GPM, Google
        I was grateful for Tom's insights, vision, and creativity while I supported the growing team as an execution partner. He provided the right direction and strategy while keeping us informed and motivated. Tom has a great depth and breadth of knowledge – I was able to avoid potential missteps due to his generous sharing of his own experiences...
Brittany Crosby

Brittany Crosby

Director of Innovation, Pfizer
        Tom is a superb product leader and entrepreneur. As a leader, he is unusual in being really good at both the strategic and the tactical levels. He leaves no stone unturned in trying to solve a problem -- while keeping all stakeholders abreast with his rationales, methods and progress. I would invest in anything Tom works on.
Phil Mui

Phil Mui

SVP, Salesforce AI Research
        Every once in awhile I encounter someone who truly impresses and inspires me. Tom is one of those people. Wisdom: Tom has an amazing attitude. He has amazing values. He is pragmatic and embraces reality. He is self-aware and emotionally in-control. He appreciates everything and takes nothing for granted...
Aaron Saarnat

Aaron Saarnat

Design, AI2
        I use a simple litmus to determine whom I recommend: would I spend my own money on their salary in a startup? With Tom, the answer is a resounding YES. He's great at team building, & has a product vision I have seldom seen. If you're lucky enough to have the opportunity to work with, hire, invest in, brain pick or otherwise cavort with Tom, do so.
Matthew Berk

Matthew Berk

CEO, Beanbox

Meet your instructor

Tom Leung

Tom Leung

Tom was responsible for the PM team that launched Google's first AI-powered healthcare provider tool into multiple hospitals from 2021-2023 as part of Google's Health AI moonshot. Tom has over 20 years of product management leadership experience as well as experience as a 2X co-founder (both businesses were acquired) and took most of his second year MBA classes at Harvard Business School in the strategy department.

A pattern of wavy dots

Be the first to know about upcoming cohorts

Product Strategy in an AI-first World

Frequently Asked Questions

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

A pattern of wavy dots

Be the first to know about upcoming cohorts

Product Strategy in an AI-first World