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ONLINE COURSE

AI-Powered Product Innovation

Turn AI capabilities into product strategy
Work Experience

Designing Product Innovation in the Age of AI

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.

Key Takeaways

Key Takeaway - 1

Identify high-value AI opportunities and separate viable use cases from high-risk applications.

 Key Takeaway - 2

Design AI products that augment human capabilities and support sound decision-making.

Key Takeaway - 3

Build AI systems users trust by understanding psychological principles of adoption and human-AI interaction.

Key Takeaway - 4

Address ethical and societal risks early through responsible product design.

Key Takeaway - 5

Apply course frameworks in a hands-on capstone project that mirrors real-world AI product decisions, from evaluation to iteration.

Key Takeaway - 6

Use generative agents and modern AI tools to simulate user behavior and guide product strategy.

Course Outline

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.

Capstone Project

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.

Hands-On Assignments and Discussion Forums

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.

Who Is This Online Course For?

Founders and AI-adjacent professionals

Entrepreneurs and founders

Builders of AI-native offerings who want to design differentiated, trustworthy products that remain resilient as AI capabilities evolve

Designers and UX professionals

Designers and UX professionals

Professionals moving beyond interface design who want to focus on value creation, intelligence augmentation, and human-centered AI product design

Consultants

Consultants and Advisory Professionals

Professionals advising organizations on product innovation and strategy who want practical frameworks to evaluate opportunities, manage risk, and guide human-centered decisions.

Product leaders and product managers 

Product leaders and product managers 

Professionals driving AI initiatives who are responsible for defining product strategy and making decisions about where AI creates real, sustainable value

Innovation and strategy executives 

Innovation and strategy executives 

Senior leaders guiding digital transformation who need structured frameworks to evaluate AI opportunities and manage risk in uncertain environments

AI-adjacent professionals 

AI-adjacent professionals

Professionals working alongside AI-enabled products who want deeper product-level insight beyond surface-level experimentation

Industry Insights

70%

of AI product initiatives fail to reach scale due to poor problem selection, trust issues, or misalignment with user needs, highlighting the need for better product capabilities in AI adoption.
Source: McKinsey

85%

of executives say long-term value from AI depends on effective integration into products and workflows, not on standalone tools or experimentation.
Source: Accenture

$407billion

is the projected global spending on AI systems by 2027, underscoring the urgency for organizations to invest wisely in AI-powered product innovation.
Source: IDC Worldwide

Program Walkthrough

 Program Walkthrough - 1

Learn directly from Stanford faculty through instructor-led guidance.

Program Walkthrough - 2

Complete coursework in a flexible, self-paced format with a manageable weekly commitment.

 Program Walkthrough - 3

Apply AI product frameworks through hands-on, real-world assignments and a capstone project.

 Program Walkthrough - 4

Engage in guided discussion forums with peers across industries.

 Program Walkthrough - 5

Work with modern Large Language Models (LLMs) like ChatGPT to explore intelligence augmentation and generative agents.

Program Walkthrough - 6

Earn a Stanford Online Certificate of Achievement upon successful completion.

Instructor

STF - Faculty - Michael Bernstein
Michael Bernstein

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

Certificate of Achievement from Stanford Online

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.

FAQs

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.

Connect with a Program Advisor for a 1:1 Session

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

Seamless Learning, Anywhere

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