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Joe Natoli

Protect and grow your career: Learn to design GenAI-enabled products

The UX and Product design landscape is evolving—and AI is leading the charge. If you're a designer, UXer, or product developer, you can't afford to be left behind. Generative AI is not just a buzzword; it's becoming the backbone of the next generation of user experiences. And without a deep understanding of how to design AI-powered products, your skill set risks becoming obsolete.

This course is for you if you want to:

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Protect and grow your career: Learn to design GenAI-enabled products

The UX and Product design landscape is evolving—and AI is leading the charge. If you're a designer, UXer, or product developer, you can't afford to be left behind. Generative AI is not just a buzzword; it's becoming the backbone of the next generation of user experiences. And without a deep understanding of how to design AI-powered products, your skill set risks becoming obsolete.

This course is for you if you want to:

  • Stay relevant in an industry that’s rapidly integrating AI into every aspect of product development and feature sets.

  • Be the asset your employer relies on—not the UXer or designer left off key projects because you lack the necessary skills.

  • Lead the future of UX and design rather than have it dictated to you by engineers and product managers.

Why you must start learning the fundamentals of GenAI product design now

AI isn’t just an optional add-on anymore. It’s the next fundamental shift in product design—just like when UX and UI became indispensable. Here’s the reality:

  • Employers want designers who understand how to design user-centered GenAI experiences that are useful, usable, valuable, and trustworthy. Without this skill, your job security and opportunities will shrink.

  • Product improvement initiatives and AI integration projects are happening in every major company, from simple voice and chatbot interfaces to workflow-based conversational experiences. The people who know how to design these experiences are the ones who will be chosen for leadership roles.

  • AI is the new frontier in UX and product design. Just as front-end coding knowledge became essential for UXers, understanding emerging design trends for GenAI — and how to design and evaluate AI-enabled products — is the next career progression.

If you don’t understand AI-enabled design, you won’t be part of these key projects. Your value will diminish—both to your current employer and in the eyes of potential future employers.

What you’ll learn in this course

  1. Master the fundamentals of designing AI-powered products

    • Learn the principles that guide effective, responsible design for AI. I’ll teach you the fundamental principles and approaches behind experiences that blend the power of AI with intuitive, human-centered design. From initial investigation and research to designing features, functionality and evaluation metrics to gauge usability and measure trust, I'll tackle all the core areas you need to know about.

    • Why it matters: AI is about more than automation. It’s about delivering useful and valuable user experiences that meet both user needs and business goals.

  2. Create ethical, trustworthy AI-driven products

    • I’ll show you how to build AI products that users trust—and that won’t perpetuate bias or misinformation. You’ll learn the ethical considerations you need to think through and how to design with fairness and transparency in mind.

    • Why it matters: Building trust is crucial in AI. Companies are investing in AI solutions that don’t just work but are ethical and inclusive. Your ability to design these systems will set you apart.

  3. Understand the basics of designing for key GenAI attributes like generative variability and tradeoffs between precision and recall.

    • Generative variability is the heart of GenAI. I'll walk you through two critical questions we, as UXers and designers, have to answer: (1) how do we present multiple, varied outputs to users and (2) how do we guide them in selecting the best one?

    • As a UX or product designer, one of the key decisions you’ll face when working with AI systems is how to balance precision and recall. I'll dig intot both concepts and walk you through how to design that balance appropriately.

    • Why it matters: Generative variability is the heart of GenAI, and designing for it requires an approach that's very different from the products we typically tackle. In particular, precision and recall define how accurate and thorough your AI’s results will be — and getting the balance right directly impacts UX and user trust.

  4. Turn AI into a business asset for your clients or employers

    • Design AI systems that do more than just function—they deliver real business value. I’ll teach you how to align AI-driven products with business objectives, ensuring that the user experience drives results.

    • Why it matters: Your ability to create AI-enabled products that solve real business challenges will make you a valuable asset to your employer.

  5. Be a leader in AI-enabled UX and product design

    • As AI continues to reshape the design industry, you’ll be equipped to lead AI-focused design projects, taking your career to the next level. No more waiting on engineers to explain AI to you. You’ll be the one leading the collaborative charge to determine how AI best fits into product design.

    • Why it matters: Leaders in this field don’t wait for opportunities—they create them. Position yourself as a forward-thinking designer who is driving AI adoption and innovation.

Who this course is for:

  • New UX and Product Designers: If you’re starting out and want to make your career trajectory more stable and secure, this course will give you the foundation to be an asset to your employer from day one.

  • Experienced UXers, Product Designers and Product Developers: If you’re already working in the industry and want to stay competitive and lead the next wave of innovation, this course will teach you how to begin integrating AI product design into your current design skill set — and to have informed, productive conversations with software engineers and data scientists on GenAI projects.

I've included a massive GenAI UX workbook you can use on real-world projects.

You can download and use this 164-page companion workbook to use both as practice and to help you through the process of designing for GenAI in your daily work as well. Use the guidance and 89 exercises across 22 mission-critical topics in GenAI design for any real-world GenAI projects that come your way — the exercises here are designed to help you through the process, from concept to execution.

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What's inside

Syllabus

Learn why every UXer and product designer needs to learn more about Gen AI — and learn the principles guiding responsible AI design
Understanding the challenge: the UX of variability
Read more
Principles to adopt for UXers, Designers and Product Teams
Responsible best practices for Gen AI UX + Design
Download the 164-page companion workbook!
Understand the core areas of research relevant to Gen AI products and users; learn when AI is and is not appropriate for users; learn when to automate or assist; understand precision and recall.
Who What + When: core areas of investigation
When AI is appropriate for users (and when it's not)
Automation vs. Assistance: determining when each is appropriate for users
Designing the AI Reward Function
Evaluating the AI Reward Function
Making Smart Tradeoffs: Precision vs. Recall
Addressing Fairness + Inclusion in AI
Understand 13 core principels of effective design for Gen AI apps, including generative variability, multiple outputs, imperfections, confidence scoring and prompt engineering.
Designing for Generative Variability
Designing for Multiple Outputs
Designing for Imperfections
Designing for Confidence: Evaluation + Scoring
Applying Confidence Scores: Rules + Examples
Designing for Co-Creation
Designing for Generic Controls
Designing for Domain-Specific Controls
Designing for Prompt Engineering
Designing for Exploration
Designing for Choice, Feedback, Transparency + Safety
Designing for Mental Models
Designing for Explanation, Understanding + Trust
Understand specific types of harm caused by AI models; hazardous model output types + how to design for them; mitigating harm with Value-Sensitive Design (VSD) in an Agile process.
Types of Harm + Designing Responsibly
Hazardous Model Outputs
Designing for Misuse
Mitigating Harm with Value-Sensitive Design (VSD)
Summary of lessons learned and things to remember about designing effective, responsible, empowering user experiences for Gen AI apps..
The Power (and the Responsibility) Is Yours: 5 Things to Remember

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in GenAI Fundamentals for UX Designers + Researchers with these activities:
Review UX Design Principles
Reinforce your understanding of core UX design principles to better grasp how they apply to GenAI.
Show steps
  • Review Nielsen's 10 Usability Heuristics.
  • Study Gestalt principles of visual perception.
  • Summarize key UX laws like Hick's Law.
Read 'Human-Centered AI' by Ben Shneiderman
Gain a deeper understanding of human-centered AI design principles.
View Human-Centered AI on Amazon
Show steps
  • Read the book's introduction and conclusion.
  • Focus on chapters about trust and ethics.
  • Take notes on key concepts and examples.
Design a GenAI-Powered Feature
Apply the course concepts by designing a GenAI-powered feature for an existing app or website.
Show steps
  • Identify a problem that GenAI can solve.
  • Brainstorm potential GenAI solutions.
  • Create wireframes or mockups of the feature.
  • Get feedback on your design from others.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a Presentation on Generative Variability
Solidify your understanding of generative variability by creating a presentation explaining the concept and its UX implications.
Show steps
  • Research generative variability in GenAI.
  • Create slides explaining the concept.
  • Include examples of good and bad design.
  • Practice your presentation.
Read 'AI Ethics' by Mark Coeckelbergh
Deepen your understanding of the ethical considerations in AI design.
Show steps
  • Read the chapters on bias and fairness.
  • Reflect on the ethical implications of your designs.
  • Discuss the book with others.
Build a Prototype with Prompt Engineering
Experiment with prompt engineering to create a functional prototype that demonstrates the power of GenAI.
Show steps
  • Choose a GenAI platform or API.
  • Define a specific task for the prototype.
  • Experiment with different prompts.
  • Iterate on the prototype based on results.
Mentor Junior Designers on GenAI UX
Reinforce your knowledge by mentoring junior designers on the principles of GenAI UX design.
Show steps
  • Offer to help junior designers with their projects.
  • Share your knowledge and insights.
  • Provide constructive feedback.

Career center

Learners who complete GenAI Fundamentals for UX Designers + Researchers will develop knowledge and skills that may be useful to these careers:
AI Product Designer
The AI Product Designer is a specialized role that focuses on designing AI powered products and features. They work closely with engineers and data scientists to create user experiences that leverage the capabilities of AI while remaining intuitive and user friendly. This course is tailored to teach you how to master the fundamentals of designing AI powered products. The skills you will gain from this course will help make you a valuable asset to your employer, setting you apart from other product designers in a competitive job market.
AI Strategist
An AI Strategist develops and implements AI strategies to achieve business objectives. They assess opportunities for AI adoption, define AI initiatives, and oversee AI projects from conception to deployment. This course helps an AI Strategist turn AI into a business asset by ensuring that AI driven products deliver real business value. With the knowledge gained from this course, an AI Strategist can design AI systems that solve real business challenges, making them a valuable asset to their employer.
AI Ethicist
The role of an AI Ethicist is crucial in today's technology landscape, focusing on the ethical implications of artificial intelligence systems. An AI Ethicist identifies and mitigates potential biases, ensures fairness, and promotes transparency in AI design and implementation. This course equips individuals with the knowledge to design ethical, trustworthy AI-driven products, addressing fairness and inclusion, which are core competencies for an AI Ethicist. Understanding the principles that guide responsible AI design, as taught in the course, helps build a foundation for a career as an AI Ethicist.
User Experience Architect
A User Experience Architect focuses on creating seamless and intuitive user experiences across various digital platforms. They design the overall structure and flow of interactions, ensuring that users can easily navigate and achieve their goals. This course helps User Experience Architects stay relevant in an industry rapidly integrating AI, teaching them to design user-centered Generative AI experiences. The course's emphasis on understanding the fundamental principles behind experiences that blend the power of AI with human centered design can make one a more effective User Experience Architect.
User Researcher
A User Researcher conducts studies and gathers data to understand user behaviors, needs, and motivations. Their insights inform design decisions and help create user centered products. This course helps User Researchers understand the core areas of research relevant to Generative AI products and users. This foundational knowledge is crucial for conducting effective research to build AI that meets user needs and expectations.
Product Manager
A Product Manager is responsible for the strategy, roadmap, and feature definition of a product. They work cross-functionally to guide a product from conception to launch, focusing on delivering value to customers and achieving business goals. This course enables product managers to lead AI focused projects by understanding how to align AI driven products with business objectives, ensuring that the user experience drives results. The skills taught in the course may help a Product Manager become a more valuable asset to their employer, making them perfect for leadership roles.
Interaction Designer
Interaction Designers focus on how users interact with a product or system. They design the interactive elements, animations, and transitions that make a digital experience engaging and effective. This course helps Interaction Designers understand the basics of designing for key Generative AI attributes like generative variability and tradeoffs between precision and recall. By understanding these core design concepts, an Interaction Designer will be able to more deeply understand how to present multiple, varied outputs to users to guide them in selecting the best one.
Accessibility Specialist
An Accessibility Specialist ensures that products and services are usable by people with disabilities. They advocate for inclusive design practices and conduct accessibility audits to identify and address barriers. This course helps Accessibility Specialists address fairness and inclusion in AI design. By understanding how to mitigate bias and ensure equitable access to AI powered tools, an Accessibility Specialist can promote inclusivity in the development of AI technologies.
Usability Analyst
A Usability Analyst evaluates the ease of use and effectiveness of a product or website through testing and analysis. They identify areas for improvement and recommend design changes to enhance the user experience. This course may help Usability Analysts understand how to design evaluation metrics to gauge the usability of AI enabled products and measure trust. A deeper understanding of how to evaluate AI systems will allow the Usability Analyst to provide more targeted and effective feedback to design teams.
Conversational AI Designer
A conversational AI designer specializes in creating engaging and effective chatbot and voice assistant experiences. They focus on designing natural language interactions that meet user needs. This course may enable Conversational AI Designers to dive into workflow based conversational experiences, and incorporate generative variability into conversational flows. A deeper understanding of Generative AI systems may lead to more rewarding career opportunities.
Content Strategist
A Content Strategist plans, develops, and manages content to achieve specific business goals. They ensure that content is user friendly, informative, and aligned with the overall brand message. A Content Strategist benefits from this course by learning to design for prompt engineering, which involves crafting effective prompts that guide AI models to generate desired content. This skill may help a Content Strategist leverage AI to enhance content creation and delivery.
UX Writer
A UX Writer crafts clear, concise, and user friendly text for digital interfaces. They work closely with designers and developers to create intuitive and engaging user experiences. This course helps UX Writers design for explanation, understanding, and trust in AI applications. By learning how to communicate the capabilities and limitations of AI in a transparent and accessible way, a UX Writer can build user confidence and promote the adoption of AI technologies.
Digital Transformation Consultant
A Digital Transformation Consultant helps organizations adopt new technologies and strategies to improve their business processes and customer experiences. They assess current systems, identify opportunities for improvement, and recommend solutions. This course enables digital transformation consultants to be leaders in AI enabled user experience and product design. One can then lead AI focused design projects, taking their career to the next level.
Design Thinking Facilitator
A Design Thinking Facilitator guides teams through the design thinking process to solve complex problems and develop innovative solutions. They lead workshops, conduct user research, and facilitate brainstorming sessions. This course may help Design Thinking Facilitators turn AI into a business asset for clients or employers. The course can show design facilitators to align AI driven products with business objectives, ensuring that user experience drives results.
AI Project Manager
An AI Project Manager oversees the planning, execution, and delivery of AI projects. They coordinate cross functional teams, manage budgets, and ensure that projects are completed on time and within scope. The course may help an AI Project Manager to learn specific types of harm caused by AI models as well as hazardous model output types so that they can design for them. This understanding of Value Sensitive Design in an Agile process helps the AI Project Manager.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in GenAI Fundamentals for UX Designers + Researchers.
Provides a comprehensive overview of human-centered design principles applied to AI systems. It emphasizes the importance of usability, reliability, and trustworthiness in AI design. Reading this book will help you understand how to create AI-powered products that are both effective and ethical. It is commonly used as a reference text in academic institutions.
Explores the ethical implications of AI, covering topics such as bias, fairness, and accountability. It provides a framework for designing AI systems that are aligned with human values. Reading this book will help you understand the ethical considerations you need to think through when designing AI-powered products. It valuable resource for anyone working in the field of AI.

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