Day 1: Executive Introduction to the Technology Understand the background, history, and context of GenAI. Learn how large language models (LLMs) work, what they can do, and their limitations. Guided hands-on activities may include practicing how to work with publicly available models for your business problems. Throughout the day, lessons from the technology revolutions of the past will be used to understand GenAI’s evolution to date and the potential ahead.

Day 2: Impact on Business: Building Strategic Advantages through GenAI

Explore how GenAI may transform, accelerate, and impact the business landscape. Learn what lessons the technologies of the past offer for how GenAI’s use is likely to evolve at the individual, team, firm, and industry levels. Examine how this is likely to reshape competitive advantages and how to begin building your GenAI capability. Exercises throughout the day will explore how to begin using GenAI today, without coding, to address common business opportunities.

Day 3: Legal and Ethical Implications and Future of GenAI

Learn about the cutting edge of legal and ethical topics for GenAI including: copyright, privacy, liability and risk management. Reflect on how these are relevant to your business and how to plan a process that addresses these issues. A panel discussion with academic and industry thought leaders will lead the group in considering emerging applications and potential downstream implications.

This program is designed for business and team leaders from any industry who are interested in expanding their understanding of Generative Artificial Intelligence (GenAI) and its revolutionary impact on careers, organizations, businesses, and society.

Ideal candidates for the program include:

• Decision-makers, leaders, and individual contributors at established companies and startups who want to enhance their practical understanding of the applications and implications of GenAI – for themselves and for their organizations
• Individuals in roles across the enterprise, including product management, research and development, information technology, marketing, operations, and talent management, who want to learn how to deploy GenAI to unlock new sources of growth and value
• Policymakers developing strategy and policy to address the ethical and societal implications of GenAI, including its privacy and security considerations
• Institutional and individual investors who want to expand their knowledge about GenAI as a technology and its potential as a catalyst for business growth and opportunity

Note: This program assumes no prior technical knowledge and is targeted for generalists across the organization, including product development, sales, marketing, talent management, supply chain, and corporate strategy.

This three-day, in-person program will demystify Generative AI technology, explore its practical applications for your business and career, and examine its powerful implications for people, organizations, and society. Jointly developed by leading experts in computer science, business, and law from the University of Washington, this course provides you with a uniquely integrated perspective, giving you practical and strategic insights into GenAI’s potential rewards – and risks.

Through expert-led interactive discussions and hands-on learning experiences you will gain a working knowledge of GenAI technology, an understanding where it is headed, and actionable frameworks for discerning its potential impact on work and competition. Exercises throughout will give you a toolkit for how to put GenAI into practice in ways that will accelerate individual and firm competitive advantage.

Through this course you will learn to:

• Build a foundational knowledge about GenAI, how it works, its limitations, and how it might transform your business and your way of working
• Become an advocate for and drive the integration of GenAI in your organization
• Assess the benefits and risks of GenAI including its human, legal, and ethical complexities
• Develop a framework about emerging future trends in GenAI from industry experts, researchers, and practitioners

Location

This is an in-person program and all class sessions will take place at the Paul. G. Allen Center for Computer Science & Engineering.

Bill & Melinda Gates Commons (6th floor, CSE 691)
Paul G. Allen Center for Computer Science & Engineering
University of Washington
185 E Stevens Way NE, Seattle, WA 98195

Directions and Parking

Please click here for information about directions, access, and parking.

Disability Accommodation

The University is committed to providing access, equal opportunity, and reasonable accommodation in its services, programs, activities, education, and employment for individuals with disabilities. Please see this reference about submitting accommodation requests.

Class Materials

You will be contacted by the program manager via email and provided with materials to read prior to the start of the program.

Program content, dates, schedule, fees, technology platforms, and faculty are subject to change. In accordance with University of Washington policy, we do not discriminate against any person on the basis of race, color, sex or sexual orientation, gender identity, religion, age, national or ethnic origin, political beliefs, veteran status, or disability in admission to, access to, treatment in, or employment in its programs and activities.

We accept enrollments for this program on a rolling, space-available basis, and we encourage you to register as early as possible. Capacity is highly limited.

Program Dates

Pending

Fee

$3,750

10% discounts are available for UW alumni and group registrations. Individuals and teams from the same organization are welcome to attend. Participation by groups encourages teamwork and amplifies the collective impact of the learning. Program fee covers tuition, teaching materials, as well as a light breakfast and lunch during all three program days.

Payment and Cancellations

Payment is due at the time of registration. If you need to cancel or defer your participation, you must submit your request in writing more than 30 days before the start of the program to receive a full refund. Cancellation or deferral requests received 14 to 30 days prior to the start of the program are subject to a fee of one-half of the program fee. Requests received within 14 days are subject to full payment.

Custom Programs

Generative AI for Business Leaders can be customized to meet the learning needs of a single company or organization. This can include on-site delivery and the addition project-based learning modules and other content unique to a particular professional context. For more information, please contact us at: gixpro@uw.edu or call (206) 897-9012.