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
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
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
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.
AI for Product Leaders
Course syllabus
Week 1
May
21
Session 1
May
23
Session 2
Week 2
May
28
Session 3
May
30
Session 4
Week 3
Post-course
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
Tech Leader
Director of Product
Meet your instructor
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.
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
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?