Ritendra Datta

How to land your AI product

Google

Facebook

Databricks

Xerox

Head of Applied AI at Databricks

Five key steps that will take your just-launched AI product or feature to a successful landing.

Create a technical strategy to go from launching to landing

Develop a scientifically sound method to evaluate successful landing of your product. Define clear steps to get there.

Define clear metrics and tactics for landing

Hear about unexpected technical and non-technical gotchas including an example of a failed launch and its recovery path.

Learn what's distinct about AI products

Why Should You Take This Course?If you’re a Designer aiming to break into the AI industry or if your team is starting to build AI products and you feel unprepared, this course is for you. By the end, you’ll feel confident and ready to transition into an AI design role, armed with the knowledge and skills to thrive. Previous students reported having significant improvement in both AI Design knowledge, confidence and motivation to drive design in this space since taking the course. Why Should You Learn from Me?With a decade of experience in building AI and AR/VR products, with over 4 years focused on AI-first products, I bring practical insights and skills you won’t find elsewhere. My experience includes leading world-class AI design teams and developing cutting-edge AI products, most recently at Meta. Course OverviewDesigned for busy professionals:•	Total 3 weeks, 4 hours per week commitment•	Recorded Sessions: Available anytime•	Discussion Boards: Participate asynchronously•	Support: Dedicated support and 1:1 guidance•	Resources: Ongoing AI learning materials•	Live Q&amp;As and Discussions: Hands-on learning What You’ll Learn: • Week #1 is focused on learning AI Fundamentals. Gain all the key knowledge necessary to understand the technology and how to work with it and in it as a designer. • Week #2 is focused on AI Design Patterns. Deep dive on existing patterns in the industry, where the current patterns fail, identify new opportunities and how to innovate by creating net new patterns. • Week #3 is focused on building an AI career with confidence. Learn to take your AI projects and career to the next level, and how to standout in industry. • Mini-projects across the 3 weeks will ladder up to helping you craft the building blocks of an AI Powered product concept. Many students choose to continue working on these concepts even after the class wraps up. What the course does NOT cover:My goal is to teach you everything I know within 3 weeks about designing good ai products. By the end of this course, you will be more equipped to build great products compared to existing designers in this space. However there are 2 things this course will not be able to cover due to the limited time:• Advanced prototyping or coding the AI product (I will share resources for this if you want to learn post-course!)• Portfolio ready project (You might be able to get decent start through this course, that you can feature on your portfolio after investing more time beyond the course)

Break into AI Design with Confidence

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

1 Hour Live Sessions<ul><li>Content Overview</li><li>Discussions</li><li>Brainstorms</li></ul> NOTE: If you're unable to make it to above sessions, you can watch videos and engage with content at your own pace at a later time.

Wednesdays

Do this at your own time:<ul><li>Read/Watch course content</li><li>Put learnings into practice through short hands-on projects</li></ul>

Self-Paced

Saturdays

Course schedule

Designers looking to join AI companies but concerned about their skill gap&nbsp;

Designers and Design Managers new to AI teams, looking to expand their expertise to build AI-powered products and confidently lead

Technical professionals interested in understanding the key-elements of design in creating AI-powered products

Who is this course for

What you’ll get out of this course

<ul><li>Understand types of AI models and how to leverage them for your design project</li><li>Key AI terminologies (NLP, CV, GANs, etc) you'll need to know as you design</li><li>Emerging product types and potentials</li><li>Limitations and future potential of AI products</li><li>AI Design Principles and more.</li></ul>

Mastery of AI Design Fundamentals

<ul><li>Understand End-to-end design process for AI products and how it differs from traditional design</li><li>Current design challenges and opportunities with AI products</li><li>Case studies and critique existing AI product interfaces</li></ul>

Expertise in AI Design Patterns

<ul><li>What do Design Managers look for in Product Designers looking to join AI teams</li><li>What to expert when joining / starting an AI Design team</li><li>Tips for interviewing with AI-design teams</li><li>Transforming your strengths to enter the AI field</li></ul>

Prepare for a Career in AI Design
 

•	Mini-Projects/Brainstorms: 2 outputs to practice course content•	Discussion Sessions / Q&amp;As: 3 live interactions for in-depth discussions•	Case Studies: Critique existing experiences together•	Live Panel: Insights from AI design experts

Practice your AI skills

<ul><li>Feeling stuck? Have additional questions? I'll be available throughout the course to help you get the most out of this course.</li></ul>

Get 1:1 Support and Guidance from Maheen

<ul><li>Build a network of peers in the AI design field and stay inspired with key resources, influencers, and companies to follow.</li></ul>

Join a Community of AI Designers and Stay Inspired

Learn how to design AI-powered products and experiences to set yourself up for a career as an AI product designer.

Maheen Sohail

Cohort 2

Cohort 3

Generative AI is transforming the product landscape, and leaders who don’t adapt risk falling behind. We are all constantly being asked, “What is your GenAI strategy?” For many product and technical leaders, answering this question comes with pressing challenges:- How do you integrate GenAI effectively without over-investing? - How can you ensure AI initiatives align with business goals and user needs?- How do you pitch GenAI projects in a way that secures buy-in from stakeholders? - How do you make sound build vs. buy decisions amid rapidly evolving AI options? - How do you evaluate and manage the unique risks of GenAI, from ethical considerations to security?- And, once your GenAI products are shipped, how do you operationalilze and iteratively improve them? In this course, you’ll gain the skills and frameworks to tackle these challenges head-on. Through hands-on lessons and real-world case studies, you’ll learn how to scope and build AI products, manage cross-functional stakeholders, and understand deployment practices that ensure long-term success. You’ll also develop essential pitching and storytelling techniques to frame GenAI initiatives persuasively for both internal stakeholders and corporate clients, clearly communicating the strategic value and ROI of your solution. By the end, you’ll be ready to identify high-impact AI opportunities, navigate the unique risks and rewards of GenAI, and confidently bring cutting-edge AI products to market with a strategic, informed approach. What to Expect This is a highly interactive, hands-on course where we’ll dig into specific GenAI use cases, frameworks, and decision-making strategies. You’ll get live instruction, real-world case studies, and immediate application exercises to help you build intuition and confidence. By the end of this course, you’ll learn to:- Identify high-value GenAI opportunities within your product or organization- Navigate build vs. buy decisions in a way that optimizes resources and impact- Pitch GenAI projects compellingly to stakeholders, from execs to cross-functional partners- Assess unique AI risks and handle data security, ethics, and compliance challenges- Create MVPs for AI products that are scalable and cost-effective- Evaluate GenAI tools, APIs, and platforms to choose the right solution for your goals- Drive cross-functional AI initiatives that align with business needs and user goals- Build alignment and secure buy-in by communicating GenAI’s ROI effectively The course also includes:- Guided exercises to immediately apply GenAI frameworks and concepts- Group discussions and Q&amp;A to explore edge cases and unique challenges- Access to course recordings for future reference Who Will Benefit Most from This Course:- Product and technology leaders committed to staying competitive in a rapidly changing landscape- High performers who want to increase their strategic impact with GenAI- Operators ready to level up their AI knowledge and make informed, strategic decisions about GenAI in product development Who This Course Is Not For:- Individuals looking for a general intro to AI concepts—this course is focused on applied GenAI strategy and product execution.- Those seeking 1:1 coaching, though we’ll have group Q&amp;A and in-depth discussions.- Leaders looking for a slow-paced, theoretical approach—this is a hands-on experience designed to give you practical tools you can apply immediately.

Why This Course?

Thursdays

Product Leaders wanting to integrate GenAI into product strategy, struggling with aligning AI to goals and gaining buy-in.

Technical Leaders seeking to bridge tech and product development, struggling with new GenAI risks and differing evaluation frameworks.

Product Managers aiming to integrate AI capabilities into products but struggling with uncertain ROI and build vs. buy choices.

Master frameworks like build vs. buy, MVP scoping, experimentation, and scaling AI products through hands-on exercises and case studies that can be applied immediately to real-world projects.

Practical Frameworks for GenAI Product Development

Gain direct experience with key GenAI tools and APIs through practical examples, learning to navigate vendor selection, model selection, evaluation, and operationalization processes.

Hands-On Experience with AI Tools and Technologies

Learn to craft a compelling GenAI vision, secure stakeholder buy-in, and drive cross-functional alignment through pitch simulations, stakeholder mapping, and real-world scenario planning to bring AI products from concept to launch.

Strategic Insights for Leading AI Initiatives

Connect with like-minded product leaders through group discussions and networking sessions to exchange insights, best practices, and foster ongoing collaboration in AI-driven product development.

A Network of GenAI Product Peers

Learn to build, launch, and scale GenAI products with practical skills, processes and frameworks in this hands-on course.

Dennis Yang

GPDwD: Cohort 1

✏️ About the CourseI 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&nbsp;&nbsp;- Gain a comprehensive understanding of AI technologies relevant to product management&nbsp;&nbsp;- Learn to identify AI implementation opportunities in your product lifecycle 2. Enhanced Decision-Making Skills&nbsp;&nbsp;- Learn AI-powered analytics for data-driven product decisions&nbsp;&nbsp;- Develop strategies for integrating AI insights into your product roadmap 3. AI-Driven Team Leadership&nbsp;&nbsp;- Learn techniques for building, upskilling, and leading AI-proficient product teams&nbsp;&nbsp;- Understand how to foster a culture of AI innovation within your organization 4. Strategic AI Implementation&nbsp;&nbsp;- Develop skills to craft and execute AI-enhanced product strategies&nbsp;&nbsp;- Learn to align AI initiatives with overall business objectives 5. Ethical AI Product Development&nbsp;&nbsp;- Understand the ethical implications of AI in product development&nbsp;&nbsp;- Learn to implement responsible AI practices in your product lifecycle 6. Practical, Hands-On Experience&nbsp;&nbsp;- Apply AI tools and techniques to real-world product management scenarios&nbsp;&nbsp;- Develop an AI integration strategy for your own product or organization 7. Personal AI Toolkit&nbsp;&nbsp;- Curate a personalized set of AI tools to enhance your productivity&nbsp;&nbsp;- Learn ongoing strategies for staying updated with AI advancements 👨‍🏫 About the InstructorWith 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.​ 🙋🏻‍♀️ FAQ'sHow 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)- Application (an assignment to apply what you have learned to your work environment)- Peer Review (group feedback on your applications) 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)

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


Lectures, discussions, and peer review of weekly applications. 3-week cohorts meet on Tuesdays and Thursdays 2- week cohorts meet on Mondays, Wednesdays, and Fridays

Live Interactive Class Sessions


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

Weekly practicums


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

Office Hours


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

Final Project


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

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

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

This course is designed for...


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.


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


Cohort 1

Michael Hirsch

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

Introducing a revolutionary approach to market understanding: Stop trying to validate what you want to sell. Learn to truly listen to what the market wants you to build. Imagine having direct access to the unfiltered thoughts, desires, and needs of billions of potential customers. Not through traditional market research or focus groups, but through what I call the Billion-Person Focus Group - a revolutionary AI-powered approach to understanding what people really want. Why This Course Is DifferentMost market research courses teach you how to validate your ideas. This course teaches you something far more powerful: how to let the market guide your decisions before you even build. Using my Oracle and Architect framework, you'll learn to:→ Move beyond traditional "validation" to achieve true Product-Market Flow→ Build AI thought partners that give you deep market insights 24/7→ Tap into the authentic voice of your market at scale→ Understand not just what people do, but why they do it What Makes This Approach Unique:→ Goes beyond surface-level data to uncover emotional and cultural drivers→ Teaches you to build your own AI thought partners, not just use tools→ Focuses on deep listening rather than validation→ Combines human-centered research with cutting-edge AI technology Real Results From My Methodology:→ Helped companies pivot features to drive 40% surge in user adoption→ Reduced churn rates by 30% through deeper customer understanding→ Increased revenue by 20% by identifying hidden market opportunities→ Secured 25% market share in new markets within 6 months→ Saved millions in wasted resources and customer acquisition costs The secret?→ Stop building what you think people want and telling them what to buy.→ Instead, start listening to what the market actually needs and is telling you what to sell. If you are ready transform your vision into market-validated success then please join us. .

Ready to stop guessing and start knowing what your market truly wants?

If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students

Tuesdays & Thursdays

Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.

May 7, 2022

Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

Weekly projects

Visionary EntrepreneursBuild with confidence, not guesswork. Use AI-powered deep listening to create products your market actually wants.

Marketers &amp; Growth LeadersSpot hidden opportunities and create campaigns that resonate by understanding what truly drives your audience.

Solopreneurs &amp; Side-Hustlers Launch products that connect by truly understanding your niche. Stop guessing, start knowing your market.

Consultants &amp; Agencies Transform client outcomes using AI-powered market intelligence. Make decisions backed by deep insights.

Product &amp; Innovation Leaders Create products people love by understanding their deeper needs. Turn market insights into winning features.

This Course Is Perfect For:

What This Course Will Help You Do

Learn to use AI to test and refine your ideas before heavy investment, drastically reducing the risk of launching products that don't resonate with your audience. Say goodbye to guesswork and hello to data-driven clarity and certainty.

Validate Ideas with Confidence and Eliminate Guesswork

Dive deep into the vast world of online data to extract meaningful insights others miss. Master the Billion-Person Focus Group™ technique to spot emerging trends, underserved segments and understand authentic, real-time consumer preferences before your competitors do.

Uncover Hidden Market Opportunities

Go beyond surface-level demographics to understand the deep motivations driving customer decisions. Create offerings that truly resonate with your target audience, fostering loyalty and driving sustainable growth. Build what your market craves, before they even know they want it.

Craft Products and Campaigns People Love

Gain deep insights into customer preferences to optimize your offerings and marketing strategies for maximum impact and resonance.

Optimise Existing Products and Campaigns

Use the power of AI to develop data-driven strategies for pricing, distribution, and marketing. Optimize your success while minimizing customer acquisition costs. Create messaging that deeply connects with your audience, setting your brand apart in even the most crowded markets.

Develop Winning Go-to-Market Strategies

Learn to monitor and interpret market shifts as they happen. Quickly adjust your strategies to seize emerging opportunities and maintain continuous product-market fit in dynamic environments. Stay ahead of the curve and never be caught off-guard by market changes again.

Pivot Your Strategies Proactively - Not Reactively

Save money, avoid costly missteps and accelerate your path to product-market fit. Optimize your resource allocation for maximum impact. Transform from a market follower into a visionary leader, armed with AI-powered foresight and data-driven confidence.

Minimise Risk, Maximise Success
 

Build AI-powered virtual personas or focus groups to test product concepts, predict market reactions, refine messaging or uncover unmet needs before launch. Build and deploy your own AI research agents to gather insights 24/7, transforming how you understand your market.

Create AI-Powered Virtual Personas and Market Validation Companions

Gain exclusive access to AI prompts, codebases, templates and frameworks that will revolutionize your approach to market research. Learn to craft laser-focused AI prompts that unlock hidden insights and validate your assumptions with unprecedented speed and accuracy.

Build Your DIY AI-Powered Market Research Toolkit
 

Connect, collaborate, and learn alongside visionary professionals. Get personalized support and expert guidance to tackle your unique challenges.

Join a Community of Market Innovators

Build and launch market-winning products with confidence—unlock AI as a strategic partner for deep insights into what people really want.

Lightning Lessons

How to land your AI product