
ONLINE COURSE
As AI capabilities accelerate, organizations must decide where it truly adds value, where it creates risk, and how to integrate it into products that are reliable, trustworthy, and aligned with human decision-making. AI-Powered Product Innovation, a six-week online course from Stanford Online, equips professionals with durable frameworks to evaluate AI opportunities, design human-centered AI products, and convert AI potential into lasting product impact. Through applied assignments, discussion forums, hands-on work with modern large language models, and faculty-led insights, you’ll move from reacting to AI trends to making confident, future-ready product decisions.
Identify high-value AI opportunities and separate viable use cases from high-risk applications.
Design AI products that augment human capabilities and support sound decision-making.
Build AI systems users trust by understanding psychological principles of adoption and human-AI interaction.
Address ethical and societal risks early through responsible product design.
Apply course frameworks in a hands-on capstone project that mirrors real-world AI product decisions, from evaluation to iteration.
Use generative agents and modern AI tools to simulate user behavior and guide product strategy.
Learn how to distinguish between problems AI can solve reliably and those that carry higher risk. This module introduces the sharp-edged vs. rough-edged framework to help you assess error tolerance, trust, and readiness for AI deployment—and reframe problems to reduce risk.
Explore intelligence augmentation and why AI succeeds or fails based on how well it supports human capability. Examine real-world examples to understand how AI products can enhance decision-making rather than undermine trust or usability.
Analyze why users default to general-purpose AI tools and how specialized AI products lose adoption. Learn how habit, friction, and workflow shape behavior, and how to design AI products that deliver durable, differentiated value.
Identify ethical and societal risks embedded in AI product decisions. Apply structured approaches to assess risk, develop mitigation principles, and integrate responsible design into product development from the outset.
Examine how people respond to AI systems as social actors. Learn key principles behind chatbot design, trust, and perception, and how design choices influence user confidence and interaction.
Learn how generative agents can simulate user behavior to inform product decisions. Explore how these agents are built, where they are useful, and how to evaluate their limitations and risks in product design.
In the capstone project, learners design an AI-powered product from concept to validation, applying the core frameworks taught throughout the program. You will generate and prioritize intelligence-augmenting product ideas, map realistic development timelines, evaluate ethical and societal risks, and use AI-based simulation to test how different users might respond to your concept. The capstone culminates in iterating your product based on simulated user feedback, helping you make sharper design decisions while critically assessing the strengths and limits of AI as a product innovation tool.
Apply course concepts through hands-on assignments that challenge you to evaluate AI opportunities, design AI-powered product concepts, and simulate user behavior using modern large language models. Guided discussion forums foster peer learning and cross-industry exchange, helping you connect theory to real-world product decisions.
Learn directly from Stanford faculty through instructor-led guidance.
Complete coursework in a flexible, self-paced format with a manageable weekly commitment.
Apply AI product frameworks through hands-on, real-world assignments and a capstone project.
Engage in guided discussion forums with peers across industries.
Work with modern Large Language Models (LLMs) like ChatGPT to explore intelligence augmentation and generative agents.
Earn a Stanford Online Certificate of Achievement upon successful completion.
Work with durable frameworks such as sharp-edged vs. rough-edged problems, intelligence augmentation, and AI readiness assessment to evaluate where AI creates real, long-term product value.
Explore human–AI interaction, adoption psychology, and trust to design AI-powered products that users understand, rely on, and continue to use.
Use modern Large Language Models (LLMs) like ChatGPT to build and evaluate generative agents that simulate user behavior, helping you test assumptions and inform product decisions before deployment.

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...
All learners who successfully complete the course will be awarded a Stanford Online Certificate of Achievement. This certificate serves as a testament to your dedication and expertise in the subject matter and can be used to enhance your 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. In addition, you will also earn 4 Continuing Education Units.
Learning with Stanford Online gives you access to live faculty-led sessions, interactive exercises, and practical assignments you can apply directly to your professional context. You’ll also engage with peers from diverse industries, enhancing collaboration and perspective.
Yes. All participants who successfully complete the AI-Powered Product Innovation course will be awarded a Stanford Online Certificate of Achievement delivered in a digital badge format and verified on the blockchain, along with Continuing Education Units (CEUs). This credential validates your mastery of designing, evaluating, and implementing AI-powered products that are trustworthy, human-centered, and strategically aligned with organizational goals.
No prior technical or AI background is required. The course is designed for product leaders, managers, designers, and professionals across industries who want to build augmented capabilities for AI-powered product decisions.
This course is ideal if you are responsible for shaping, evaluating, or supporting AI-powered products and want to move beyond experimentation to build trustworthy, resilient solutions. If you have questions about fit, a program advisor can help you determine whether this course aligns with your goals.
Applicable taxes will be calculated and added at checkout in accordance with country/state regulations.
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