ONLINE COURSE
UI/UX Design for AI Products
Strategic Design in the Digital Era
In the rapidly evolving UI/UX design field, creating positive user experiences powered by Artificial Intelligence (AI) is increasingly crucial. In the years ahead, designers and product teams will need to leverage AI to automate repetitive tasks and refine design patterns, processes, and techniques. To meet this growing demand, Stanford Online has developed a job-relevant curriculum to guide you through your AI-powered design journey.
Industry Outlook
$15.7trillion
62%
70%
Key Takeaways
Understand how to design interactive experiences that embed AI at the core of product design.
Identify situations where AI is, and is not, the right solution for the desired user experience.
Foresee potential issues with user trust, overreliance, and error, and design to mitigate the issues.
Be able to rapidly prototype and gain user feedback on human-AI interaction.
Gain practical skills to design and evaluate AI-driven user experiences, emphasizing user control, trust, prototyping, intelligence augmentation, social AI design, and ethical data practices.
Skills You Will Gain in This Course
User interface design patterns for human-AI interaction
Apply prototyping methods to create AI-enhanced design concepts
Understanding of AI-powered design tools, and if/when they are useful
Experience developing designs that integrate AI through a Capstone Project
Who Will Benefit From This Course
Professionals in User Interface (UI) and User Experience (UX) Design who want to integrate artificial intelligence into their designs and understand its impact on user experience
AI Developers and Engineers involved in developing AI systems who want to enhance their understanding of user experiences and improve the usability of AI applications
Product Managers who wish to understand the fundamentals of designing AI-driven user experiences to create more user-friendly products
Professionals and students with experience in designing user-facing products
Past Participant Profiles
Work Experience
Top Industries
Top Profiles
* Familiarity with the human-centered design process is helpful.
Tools You Will Use in This Course
Modern Large Language Models (LLMs), such as ChatGPT, for rapid AI behavior prototyping
Design and interface mockup tools, including Figma, to create and refine UI concepts
Additional UI prototyping tools depending on project needs
*These are indicative tools and are subject to change. Learners can reference recommended tutorials as needed and typically get up to speed quickly.
Course Outline
Review the core principles behind modern AI and generative models.
Interpret how Large Language Models (LLMs) like ChatGPT represent information, reason, and generate outputs.
Evaluate real-world implementations of generative AI across product and design workflows.
Identify why users struggle with prompts.
Evaluate the design limitations of one-size-fits-all chat interfaces using the Spork Problem as a diagnostic framework.
Analyze how products like Adobe, Grammarly, and VS Code use embedded AI interactions to overcome these limitations.
Design a task-specific, AI-augmented interface, mapping user needs to interaction flows, wireframes, and model requirements.
Understand the benefits of prototyping and why it is useful in AI-Powered design.
Learn to apply large language model prototyping to test the feasibility and desirability of an AI design.
Implement “Wizard of Oz” prototyping to develop an initial mockup of an AI-based design, while omitting the actual AI components.
Articulate the capabilities of AI-augmented design tools and their role in modern UI/UX workflows.
Assess the limitations and challenges of AI design tools, including areas where human judgment remains essential.
Develop strategies to integrate AI-augmented tools effectively into your design workflow.
Apply AI-powered design tools to create a nontrivial design, reflecting on effectiveness, constraints, and learnings.
Analyze the core tension between full user control and tools that enhance automation, including associated risks of error.
Describe design patterns used to manage the trade-off between user control and automation.
Examine case studies like Clippy, Google Maps, Google Docs, and Gmail to assess what enables or undermines the user control–automation balance.
Learn about user trust in AI systems and why it influences adoption and effective use of AI-powered tools.
Explore human-AI complementarity and how Generative AI models are currently utilized to achieve it.
Understand the algorithm aversion and overreliance paradox, and strategies to mitigate it using explainability techniques.
Capstone Project
The Capstone Project gives you the opportunity to apply your AI and UX skills by designing a real-world AI-powered product. You will identify a problem through user research, determine the right balance between automation and user control, and evaluate ethical considerations to ensure responsible design. This hands-on project helps you translate course insights into an AI solution grounded in your industry context and strengthens both your portfolio and your practical capability.
Program Walkthrough
Live sessions with faculty
Manageable time investment (4-6 hours/week)
Assignments for you to apply learnings to your own product, organization, or idea
Real-world case studies and industry examples
Feedback on select assignments to ensure understanding of the program material
Certificate of Achievement from Stanford Online
Featured Course Elements
Leverage ChatGPT to automate tasks, create user-friendly experiences, and drive customer engagement.
Explore AI from a psychological perspective by studying topics such as user trust, overreliance, the Media Equation, and the Replicant Effect.
Explore the successful case of Smallville to gain a deeper understanding of Generative Agents.
Instructor
Professor of Computer Science, Stanford University
Michael Bernstein is a Professor of Computer Science at Stanford University, where he is a Bass University Fellow and STMicroelectronics Faculty Scholar. His research in human...
Certificate of Achievement from Stanford Online
All learners who successfully complete this course will receive a Stanford Online Certificate of Achievement. In addition, they will earn 4 Continuing Education Units.
To obtain CEUs, learners must complete the accreditation confirmation, which is available at the end of the course. CEUs are calculated for each course based on the number of learning hours.
Learners feedback
FAQs
Studying online with us extends past a strictly digital learning experience. With Stanford Online, you’ll have the chance to:
Attend international workshops and live webinars.
Collaborate and engage with Stanford professors, instructors, and contributors.
Meet and network with other program participants from all over the globe.
All learners who successfully complete the course will be awarded a Stanford Online Certificate of Achievement, officially recognizing their mastery of the course material. This certificate serves as a testament to their dedication and expertise in the subject matter and can be used to enhance their professional credentials and career opportunities. The Certificate of Achievement for an individual course will be issued in a digital badge format, verified on the blockchain.
A basic understanding or familiarity with human-centered design is helpful, but not required.
Schedule a call with a sales advisor to address any doubts or questions you might have about this course.
Applicable taxes will be calculated and added at checkout in accordance with country/state regulations.
Didn't find what you were looking for? Schedule a call with one of our Global Alumni Program Advisors or call us at +1 315 871 5140
Register now and boost your professional trajectory.
Starts on