Class is in session
2 Weeks
·Cohort-based Course
Learn to strategize, validate, and plan AI products that deliver value. Leave with a plan to build your first Minimum *Lovable* AI Product!
This course is popular
6 people enrolled last week.
Class is in session
2 Weeks
·Cohort-based Course
Learn to strategize, validate, and plan AI products that deliver value. Leave with a plan to build your first Minimum *Lovable* AI Product!
This course is popular
6 people enrolled last week.
Previously at
Course overview
The AI Revolution is Just Beginning
Since ChatGPT's landmark debut in late 2022, we've witnessed a seismic shift in how businesses and consumers view AI. What started as a fascinating chatbot has sparked a fundamental transformation across industries. Large Language Models, once considered cutting-edge, are now table stakes. As we move from GenAI to Agentic AI, the pace of innovation shows no signs of slowing.
The message is clear: AI isn't just another tech trend—it's becoming the core of how products and services will be built and delivered. Whether you're in B2C or B2B, your products will either evolve to leverage AI or risk becoming obsolete.
The AI Execution Challenge
But here's the paradox: While AI technology races forward, many product teams are still struggling with the basics of building successful AI products. If you're a product or design leader, you've likely experienced the pressure to "get something out there with AI." Companies are rushing to implement solutions, driven by top-down mandates, competitive pressure, or technological FOMO.
The reality? Successful AI products aren't born from rushing to implementation. They come from thoughtful strategy, careful validation, and deliberate planning that creates genuine value for users and business.
Right now, teams are:
- Jumping into AI implementation without proper strategic deliberation
- Struggling to identify which problems truly need AI solutions
- Missing alignment with critical user needs in the rush to deploy
- Lacking frameworks to evaluate and validate AI opportunities
- Unable to effectively communicate the "why" behind AI initiatives
But does it have to be this way?
You can learn to evaluate and strategize AI initiatives with confidence. You can develop clear frameworks for validating AI opportunities. You can create compelling roadmaps that align stakeholders around a shared vision.
This is exactly what you'll master in this course.
What you will learn:
- How to identify which problems truly need AI solutions
- How to evaluate AI opportunities using proven frameworks
- How to build user trust in AI through thoughtful design
- How to craft AI experiences users will actually adopt
- How to validate AI features before heavy investment
- How to choose the right AI interfaces for your use case
- How to define data requirements for AI success
- How to plan for responsible AI implementation
- How to measure AI product success meaningfully
- How to communicate AI strategy to stakeholders
- How to align teams around your AI vision
- How to create AI roadmaps that drive real value
- How to assess technical feasibility early
- How to prototype AI features with no-code tools to get buy-in
Our Approach
This course is designed to transform how you think about and approach AI product opportunities.
If you engage fully with the course, you'll make a fundamental shift from "How do we add AI to our product?" to "How do we strategically create value with AI?" You'll develop the muscle memory to instantly recognize good AI opportunities, ask the right questions, and make informed strategic decisions.
Throughout the program, we'll move beyond theoretical frameworks to tackle real challenges you're facing through AMA sections of the workshop.
We'll explore the nuances of different AI use cases, examine edge cases that challenge conventional thinking, and work through examples that build your strategic instincts. Every framework and approach we teach comes from real-world experience leading AI initiatives—successes and failures included.
We've specifically designed this course to build your confidence through practice. Each week builds upon the previous learnings, helping you develop a natural intuition for AI product strategy.
All sessions are recorded, and frameworks are documented so you can revisit and reinforce your learning as you lead future AI initiatives.
01
Product Leaders & Founders
Leading AI initiatives or building AI products? Learn to evaluate opportunities and create roadmaps that deliver
02
Design & Research Leaders
Shape the future of AI experiences. Learn to uncover user needs, design trustworthy AI interactions, and validate
03
Innovation Consultants
Guide clients through AI transformation. Learn frameworks to evaluate opportunities and create actionable strategies
04
This course is NOT for aspiring product and business leaders hoping to use AI to gain their first experience in software development.
Define Winning AI Opportunities
Learn to identify and validate AI opportunities that deliver real value. Move beyond the hype to uncover genuine user needs and business opportunities that AI can uniquely solve.
Craft AI User Experiences
Master the principles of designing AI interfaces that users trust and love. Learn to create experiences that balance automation with user control, transparency with simplicity.
Create Actionable AI Strategies
Develop comprehensive strategies that address data requirements, model selection, and technical feasibility. Learn to make informed decisions about AI capabilities and resource needs.
Design for Trust & Adoption
Master the principles of AI product design that build user confidence. Learn how to create experiences that are transparent, intuitive, and aligned with user expectations in the AI era.
Drive Stakeholder Alignment
Build compelling narratives around your AI initiatives. Create strategic documents and presentations that communicate your vision and gain buy-in from leadership and stakeholders.
Evaluate Technical Approaches
Learn to assess AI implementation options and make informed decisions about technology choices. Develop criteria for selecting the right tools and approaches that align with your product goals.
Build Your Strategic Portfolio
Create a portfolio of strategic artifacts including opportunity assessments, user journey maps, data strategies, and product roadmaps that showcase your AI product leadership capabilities.
4 interactive live sessions
Lifetime access to course materials
19 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.
Mastering AI Product Strategy: From Ideas to MVP
Dec
3
Live workshop: AI Use Case Evaluation
Dec
4
Live workshop: AI User Experience Design
Dec
10
Live workshop: Data Strategy & Planning
Dec
11
Live session: AI Prototyping and Evaluation
This course is for you if you're a Product Manager who is:
This course is for you if you're a Design Leader who is:
This course is for you if you're an IC who is:
This course is for you if you're part of a team that is:
Harsha Srivatsa
Muxin Li
Joshua Kinberg
Vijita Salotra
David Taylor
Gwendolyn Elder
AI Industry Experts - With Teaching Experience
With rich backgrounds in innovation in world-leading companies, Polly and Rupa have been teaching AI for product and business leaders since March 2023. Together they have taught over 1,000 students.
A Track Record of Excellence
Our first course on Maven was one of the highest-rated in Maven's history (with a 4.9/5 rating over 6 cohorts.) We have taught across Maven, Reforge, the Human AI Institute and AI Career Boost, and have taught invited lectures at Stanford, Berkeley and MIT.
A Focus on Hands-On Learning
We get consistent feedback that people love how actionable our courses are. Grounded in theory, we provide frameworks from industry and real-world case studies that help you apply these concepts right away.
Rupa Chaturvedi is a seasoned product design leader with over 15 years of experience in the tech industry, having worked at companies such as Amazon (Alexa AI), Google, Uber and pioneering AI startups.
She is the founder of Human Centered AI Institute, offering corporate training and individual coaching programs in AI product development and design.
Her fingerprints are all over the AR/AI/ML/Computer Vision consumer technologies we use today, including AR and Conversational AI enabled consumer experiences at Amazon and Uber.
She holds a MS Degree in Product Design from Stanford University and a PG Diploma in Creative Leadership from THNK, Amsterdam.
She has published over 18 patents in this space, teaches UX Design for AI applications at Stanford University and advises/invests in food startups.
As a visionary in the field, Rupa has dedicated her career to humanizing technology and uplifting others through her work and mentorship.
Polly Allen has over 20 years experience developing software, building and leading software teams and most recently leading cross-functional science and engineering teams as a Principal Product Manager for Alexa AI at Amazon. Her expertise is focused in natural language use cases, such as search and discovery, natural language understanding and generation, and she led the development and launch of the first automatically-generated summaries of web content on Alexa in 2020. (And yes, it used transformer models like those that drive ChatGPT!) As a leader in the intersection of Product Management and Machine Learning, she is passionate about DEI in the space and empowering more people to understand, leverage and participate in the field. She is an experienced angel investor and past corporate board member, has advised multiple startups, and speaks on panels and conferences about Product Management, Ethics and DEI in AI. She holds a M.Sc. in Software Engineering from MIT and the University of Victoria, and an MBA from the University of British Columbia.
Be the first to know about upcoming cohorts
4-6 hours per week
Tuesday, December 3rd
8:00 - 9:30am PST
8:00 - 9:30am Pacific Time
11:00 - 12:30pm Eastern Time
5:00 - 6:30pm British Standard Time
AI Product Discovery Workshop
This workshop includes time to practice the frameworks we're learning with group breakouts and hands-on exercises. Recording will be available.
Wednesday, December 4th
8:00 - 9:30am PST
8:00 - 9:30am Pacific Time
11:00 - 12:30pm Eastern Time
5:00 - 6:30pm British Standard Time
Design Considerations for AI Systems
Get ready to tour the world of innovative UI user experiences. Recording will be available.
Tuesday, December 10th
8:00am - 9:30am PST
8:00 - 9:30am Pacific Time
11:00 - 12:30pm Eastern Time
5:00 - 6:30pm British Standard Time
Data & Technical Plans for AI Products
We'll dive deep into data considerations and how to choose between emerging architecture frameworks in AI systems. Recording will be available.
Wednesday, December 11th
8:00 - 9:30 am
8:00 - 9:30am Pacific Time
11:00 - 12:30pm Eastern Time
5:00 - 6:30pm British Standard Time
AI Protoyping and Validation
Get ready for a fast-paced ride through the world of tool for AI prototyping and validation. Recording will be available.
Weekly projects
2-3 hours per week
Put aside 2-3 hours to work on your AI project idea between sessions. You'll be guided with a workbook to consider the most important decision points.
Network & Get Feedback
As Needed
Join our Slack community that lives on even beyond the course! Network with like-minded product and design leaders, and get feedback on your projects and progress.
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
Be the first to know about upcoming cohorts