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

The AI Revolution is Just BeginningSince 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 ChallengeBut 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 ApproachThis 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.

Plan Your First AI Prototype with Help from Seasoned AI Professionals

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

8:00 - 9:30am Pacific Time11:00 - 12:30pm Eastern Time5:00 - 6:30pm British Standard Time AI Product Discovery WorkshopThis workshop includes time to practice the frameworks we're learning with group breakouts and hands-on exercises. Recording will be available.

Tuesday, December 3rd

8:00 - 9:30am Pacific Time11:00 - 12:30pm Eastern Time5:00 - 6:30pm British Standard Time Design Considerations for AI SystemsGet ready to tour the world of innovative UI user experiences. Recording will be available.

Wednesday, December 4th

8:00 - 9:30am Pacific Time11:00 - 12:30pm Eastern Time5:00 - 6:30pm British Standard Time Data &amp; Technical Plans for AI ProductsWe'll dive deep into data considerations and how to choose between emerging architecture frameworks in AI systems. Recording will be available.

Tuesday, December 10th

8:00 - 9:30am Pacific Time11:00 - 12:30pm Eastern Time5:00 - 6:30pm British Standard Time AI Protoyping and ValidationGet ready for a fast-paced ride through the world of tool for AI prototyping and validation. Recording will be available.

Wednesday, December 11th

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.

Weekly projects

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.

Network & Get Feedback

Course schedule

Product Leaders &amp; Founders Leading AI initiatives or building AI products? Learn to evaluate opportunities and create roadmaps that deliver

Design &amp; Research Leaders Shape the future of AI experiences. Learn to uncover user needs, design trustworthy AI interactions, and validate

Innovation Consultants Guide clients through AI transformation. Learn frameworks to evaluate opportunities and create actionable strategies

This course is NOT for aspiring product and business leaders hoping to use AI to gain their first experience in software development.

Who is this course for

Key Outcomes

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.

Define Winning AI Opportunities

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.

Craft AI User Experiences
 

Develop comprehensive strategies that address data requirements, model selection, and technical feasibility. Learn to make informed decisions about AI capabilities and resource needs.

Create Actionable AI Strategies
 

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.

Design for Trust & Adoption
 

Build compelling narratives around your AI initiatives. Create strategic documents and presentations that communicate your vision and gain buy-in from leadership and stakeholders.

Drive Stakeholder Alignment
 

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.

Evaluate Technical Approaches
 

Create a portfolio of strategic artifacts including opportunity assessments, user journey maps, data strategies, and product roadmaps that showcase your AI product leadership capabilities.

Build Your Strategic Portfolio
 

Learn to strategize, validate, and plan AI products that deliver value. Leave with a  plan to build your first Minimum *Lovable* AI Product!

Rupa Chaturvedi

Polly Allen

Cohort 1

Cohort 2

** Designed as a follow on for graduates of our 'How to Scale A Business With AI Workflows - Foundations' cohort or by application only. AI Build Lab transforms hands-on AI creators into market-ready builders, equipping you with the expertise to craft and deploy high-impact agents and workflows that truly scale businesses.Graduate with a fully developed AI agent or workflow—either a real client project or a top-voted community solution—ready to deploy and designed to meet genuine market needs. You'll be equipped with every resource, template, and asset you need to adapt and launch this project into your business or vertical. Imagine stepping into AI Build Lab with hands-on AI experience under your belt, eager to take your skills to the next level. In just a few weeks, you’ll progress from capable creator to skilled builder, mastering what it takes to deploy impactful AI agents and workflows for real business growth. No more abstract exercises—AI Build Lab is all about building high-value projects, created for real clients and designed to address real business challenges. The Journey: •	From Experimenter to Expert: You’re already familiar with the basics of AI, and in AI Build Lab, you’ll refine those skills to confidently design, deploy, and scale agents and workflows that deliver tangible results.•	From Builder to Market-Ready Innovator: This is hands-on, no-code AI building, where every project equips you with advanced, practical skills to launch solutions that make a genuine impact.•	From Idea to Market-Demanded Product: Every project you work on is grounded in real-world demand. Whether it’s a client project or a community-upvoted solution, you’ll build with a clear market need and business value. The Result: •	Portfolio-Ready and Market-Tested: You’ll leave AI Build Lab with more than skills—you’ll have a portfolio of fully developed, marketable AI agents or workflows ready to make an impact.•	Strategic, AI-Ready Mindset: With insights that go beyond technical building, you’ll learn to think like an AI leader, bringing market-driven, scalable solutions into any business.•	Empowered for Real-World Success: With hands-on experience, you’ll be equipped to tackle client needs and market challenges, showcasing AI projects that address real business demands. In short, AI Build Lab will transform you into a market-ready AI builder, ready to tackle high-impact, real-world challenges with no-code AI solutions that scale. You’ll not only know what it takes to build AI that’s deployable and marketable but feel empowered to do it, project after project. ** Recommend starting with our 'How to Scale A Business With AI Workflows - Foundations' 4 week cohort first *** OR, enrolling in our AI Build Lab Accelerator which combines the 4 week Foundations course + 4 week AI Build Lab Launch Studio for an 8 week immersive hands on experience

AI Build Lab Approach: Design + Build + Deploy & Join The 1% of AI Practitioners

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

Mondays 

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

Thursdays 

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

Non-tech professionals looking to become the 1% AI Leaders &amp; Operators in their organizations

Consultants &amp; agencies looking to provide AI consultancy &amp; implementation services

Business leaders &amp; owners looking to build scalable growth machines with AI.

What you’ll get out of this course

Level up your AI skills to build and deploy AI agents &amp; agentic workflows designed to solve real business challenges. You’ll gain the confidence to tackle client needs with AI solutions that are market-tested and demand-driven.

Hands-On Expertise in Building Market-Ready AI

Each project you work on is a real client need or a community-upvoted solution, ensuring your efforts are focused on market-relevant, high-impact outcomes. By the end of the course, you’ll have a fully deployable AI project to showcase.

Real-World, Client-Centric Projects

This course is 100% no-code, making it accessible to non-tech professionals who want to build AI solutions without the steep learning curve of coding. Every session is hands-on, turning complex AI workflows into achievable, high-value results.

Advanced No-Code Skills for Business Impact

Graduate with a project of AI agents or agentic workflows that are ready to deploy in the business world. These aren’t hypothetical projects—they’re actionable, market-ready solutions that reflect genuine demand and can drive business scale.

Build a Portfolio of Marketable AI Solutions

Beyond technical skills, you’ll learn to think strategically about implementing AI in business. With guidance on designing scalable, impactful solutions, you’ll leave prepared to integrate AI effectively and drive growth wherever you go.

Develop A Strategic, AI-Ready Mindset

Join a cohort of ambitious professionals also looking to scale their AI capabilities. Gain insights from peers, share ideas, and collaborate on projects that mirror the challenges and demands of today’s business landscape. The magic happens in the LIVE classes!

Community & Collaboration

From design to deployment: Build market-ready AI agents & agentic workflows w real, marketable client & upvoted projects ready to implement

Sara Davison

Founder & Chief AI Growth Architect at Maivenly

Tyler Fisk

Founder & Chief Nerd at Galactic Ranch

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

The challenge: most people who don't have a technical background do not understand the reasons why products like ChatGPT, Claude, or Cursor respond the way they do. Because of this, they also don't understand how to get what they want and need out of AI tools. A quick story: my sister is a physician-scientist. She has an MD-PhD. She does cutting edge scientific research and works with data on the daily. Last year, we were on a video call where she mentioned being unimpressed with ChatGPT's response to her work question. She told me what she was trying to do, and I went, "wait, AI could definitely handle this - what did you type?" I flipped the screen, pointed it at my monitor, and proceeded to have a conversation with ChatGPT that got her all the answers she needed in just a few minutes. This "capability unlock" has gone on to save her at least an hour in her work every day. DAILY. And she was mere seconds away from having given up on it, thinking AI wasn't yet good enough to get the job done. And this is when I realized, every non-technical user needs to understand not just "prompt engineering," as you've heard described elsewhere.It's more fundamental than that. It's...• The reasons and treasons of why AI does or doesn't give you a good answer• The nuances of technical limitations (safety, length, 'correct' output)• The incredible power of chain of thought &amp; reflective techniques This 3-day intensive will cover the above, and so much more, with the outcome of getting you to become fluent in talking to AI systems, including large language models (like ChatGPT/GPT-4o out of OpenAI, Claude out of Anthropic, LLaMA out of Meta) and image generation models (like Midjourney, DALL-E, and Stable Diffusion). And when I say "fluent," I mean something very specific. Just as language fluency isn't about memorizing phrases from a travel guidebook, AI fluency isn't about collecting prompts from Twitter. True fluency means understanding the deeper patterns of interaction -- knowing when to push, when to pivot, and most importantly, why. Consider this: most courses teach you what to say to AI. This course teaches you how to think about AI conversation. It's the difference between learning to order coffee in French versus understanding why French speakers structure their thoughts the way they do. What you'll get out of the 3 day intensive - Day 1Mental Models &amp; Mechanics• What AI knows versus what it can do; how AI reads, thinks, and speaks, + biases and limits• The hidden landscape of latent space, embeddings, and vectors - what does it all mean for your usage?• Differences in AI paradigms, LLM models, genAI models, and the applications that sit on top of them Day 2Conversations &amp; Debugging• Ask the unaskable: form questions that inspire LLMs to answer you; learn the DRIVE context framework• Use layered prompting and multi-turn conversations for your most advanced queries and topics• Get AI to "think out loud," giving you more data, more insights, and the ability to iterate over time Day 3Advanced Applications• Use reflective and agentic techniques + products to get AI "working for you" - soon, you'll have a team• Get multi-modal - combine models, model types, and apps to generate fast, impactful outputs• &amp; more: analysis, tools, fine-tuning, hallucinations, ethical considerations, and real world use And more• retrieval augmented generation (RAG), code use, integration + extensions, voice-based nuances• chain of thought, reflection, context windows, and other AI concepts explained• how do apps make use of LLMs, how is AI being integrated by companies across tech At the end of this 3-day intensive, you'll...• be able to transform vague ideas into incredible outputs, whether you're brainstorming, working with data and statistics, coding with AI, using it for workflow, asking it knowledge questions, utilizing it for research, adopting it as a content companion, or using it in an academic setting• troubleshoot and debug AI responses - you'll know when you've hit a real limit versus a bug or user error, unlocking the boundaries of what AI can do before anyone else -- no matter the field you're in• future-proof your skills - because you're going to have a deep understanding of how these products work, you'll remain capable of using them as the models are continuously updated and evolved, even as the rapid pace of AI development continues It's about harnessing the power of this transformative technology to amplify your own creativity, productivity, and impact on the world. Get ready to go beyond "prompt engineering" and embark on a journey to truly master the art and science of communicating with AI. Are you ready to unlock the conversation?

You're probably bad at talking to AI. I'll make it your smartest friend.

3 days of live classes

Can't make it to the live classes or want to watch them again later? We'll make each day's content available same-day for all students.

Access recordings forever

There will be several projects and optional group workshops to turn the content into usable muscle - attend live for instructor feedback, or access projects, examples, and templates at your own pace - including permanent access after the course ends.

Daily projects (optional)

Non-technical or semi-technical professionals (throughout knowledge work) looking to gain an upper hand in this AI moment.

Anyone who has felt the gap between AI's potential, what they hear about what it can do, and their ability to access the upside.

NOT for engineers who already use LLM copilots every day. NOT for people looking for quick prompt templates.

You'll learn about the cognitive architecture that underpins not just LLMs, but the way that products and apps are built around them. These patterns will work across AI models and will continue working as systems evolve.

Instead of AI prompt templates, learn conversational design patterns

It's hard for even the most AI-passionate people to integrate and reliably, consistency use AI products. I'll give you systems, shortcuts, and methods for making it second nature -- we'll build your AI muscle.

Instead of treating ChatGPT like a magic answer box, you'll make it a constant companion

"Why does it hallucinate here, but not there? When should I restart a conversation versus redirect it? Why does it sometimes forget what we just discussed? How does its sourcing work? When is more context good versus bad?" You'll know. And you'll know what to do next.

Instead of getting frustrated, you'll know how to iterate your way to results

You'll master the art of progressive refinement, building complex outputs and systems, and be able to leverage all of this to be top .5% in your field -- whether that's at work, with a hobby, with a side project, or with something personal.

Instead of being left behind, you'll get and stay ahead of the AI curve

Develop a foundational understanding of how AI & LLMs see, hear, and read your input, + how to use them to 10x your output speed and impact.

Lightning Lessons

How to land your AI product