0-1 AI Product Design Innovation: A Sprint

Design & Scope an MVP (Minimum Viable Product) AI Product Using LLMs
Gain the expertise to design intuitive and effective AI solutions by understanding how AI works, how to leverage LLMs, and build something that balances business ROI, user needs, and technical constraints.

Consider the Long Term Consequences of Your AI Product Design
Learn how to create designs that strike the perfect balance between human input and AI automation. Empower users to feel in control while leveraging AI's capabilities for optimal collaboration and enhanced task performance.

Master AI Prototyping, AI Chatbot Design, AI Design Heuristics, & More
Develop the skills to design AI systems that earn human trust through nuanced interactions. Use innovative prototyping methods, such as Wizard of Oz techniques, to create AI solutions that resonate with users while maintaining credibility and reliability.

Watch our course sneak preview & get 10 tips for designing AI products 0-1

The AI market is projected to reach $244 Billion in 2025. The annual growth rate for the AI market (CAGR 2025-2030) is 28%

The AI marketed is projected to reach $827 Billion by 2030. NOW is the time to break into learning AI product design and AI prompt design.

$244 Billion

The projected size of the AI market in 2025

28% (CAGR)

The annual growth rate for the AI market (2025-2030)

$827 Billion

The projected size of the AI market by 2030

Who is this course for?

This course is for:

Women, immigrants, BIPOC, LGBTQ+

UX learners & job seekers alike

Folks interested in learning advanced UX topics

UX Bootcamp grads + Google Coursera grads

This course is NOT for:

Folks looking for a shortcut into UX design

Folks who Do NOT want to thoroughly learn how and why AI works and all the consequences of designing AI products. We believe in ethical AI product design.

Folks who don’t know what UX is- we recommend learning the basic UX design process first before diving into this course.

Our curriculum covers a variety of AI product design topics for 0-1 builds

  • Module 1: What is AI?

    We cover how AI works and examples of AI based products and features in the market today. What are LLMs and how can we leverage them when we design AI products?

  • Module 2: How AI & People Interact

    To what extent can we rely on and trust AI system outputs and recommendations? How might we consider handoffs between ourselves and AI? To what extent does AI deceive us and how do these deceptions impact our perception?

  • Module 3: AI Design Heuristics

    What best practices should we keep in mind when designing AI products for content clarity, information architecture, and user decision making? What are some good and bad examples of AI products and features? What makes them successes or failures?

  • Module 4: Prototyping AI Products

    How might we prototype AI products without code, to better understand how users might interact with AI and to also understand the constraints of AI development? What's usable from a user perspective? Whats feasible from a tech perspective?

  • Module 5: AI Automation vs. User Choice

    To what extent should an AI product automate tasks, and to what extent might a user need control or to regain control of tasks within an AI product, or just have multiple options to make the right decision?

  • Module 6: Trusting AI Products

    How might we design a balanced AI system that does not cause either too much distrust or over-trust in the AI? To what extent should users trust our AI product? How might we communicate the extent of trust they can place on an AI product?

  • Module 7: AI Chatbot Design

    To what extent should AI chatbots and social AI systems mimic human characteristics? How relatable should an AI system feel to users? How might we balance our AI designs for relatability, but also distinguish to users that they are using AI?

  • Module 8: AI Generated Content

    How might we distinguish between AI and human creations in a world where AI generated content will increase all over the internet? To what extent can we trust communications we see online?

  • Module 9: AI Simulations

    How might we use AI simulations of human behavior to create economic, behavioral, and social models that accurately predict human behaviors and interactions and outcomes? How might we better understand the long term effects of AI products we design?

  • Module 10: AI Ethics

    To what extent will AI displace jobs and how might we correct for the negative effects of AI? What are the unintended consequences of AI products that we design?

Here’s what you’ll get from this course…

  • This course contains 6+ hours of lecture based content and interactive exercises in FigJam.

  • This course contains a FigJam toolkit with prompts and exercises to help you design your AI product from 0-1.

  • We give you access to the course for over a year! You can always extend access.

4 key mindsets for balanced & ethical AI product design…

  • AI has the capacity and capability to automate rote tasks that we users find boring and repetitive. This is good news! We are able to dedicate more of our time towards tasks we enjoy instead that involve more creativity, collaboration and strategy.

  • The AI industry is projected to be booming by 2030, and while some of the consequences of this will be major job losses in certain industries and sectors, it also means new possibilities! Imagine the possibilities of designing AI products within an industry that’s projected to reach $827 Billion by 2030. That means new, up-and-coming AI startups promising design jobs.  To be truly successful, we need to convert our scarcity mindset into one of abundance to really get our creative juices flowing.

  • We need to start considering the long term effects of our product designs, including AI product design. It’s clear from watching the disintegration of social media that AI can have some terrible effects (i.e., low quality AI content spam, algorithms that sell products and  thrive based  on our negative emotions (fear, anger, insecurity, shame, guilt, depression), misinformation, disconnection, and more. This requires ethical AI product designers.

  • We need to be upfront and honest about AI’s capabilities and how AI creates recommendations, keeping in mind that no system is perfect and that all systems are biased. How might we strive to create a culture of constantly improving AI for all who use our products and services that we design?

Watch our course sneak preview & get 10 tips for designing AI products 0-1

We’ve included a discount code for the course inside the video as well! Watch the sneak preview to get the discount code for 10% off the course price.

Choose a course plan based on your learning style & goals

Free AI & UX Design Lessons on Our YouTube Channel

No Cost, Free Accessible Content. We introduce concepts like UX research, UX design, UX career paths, AI design, and more. The basics of UI, UX, UXR, and AI.

Self-Paced, Online 0-1 AI Product Design Innovation

$490, Accessible Via Thinktific. Get 365-day access to all course materials and complete the course at your own pace, no rush! Follow FigJam activities online.

Weekend UX Sprint: Live, Online 0-1 AI Product Design

$980, Accessible Via Eventbrite. Attend our live weekend sprint on Sunday, May 18th 2025 between 1 pm ET and 6 pm ET. Get an interactive lesson with FigJam activities.