With rapid technological advancement, leaders more than ever need the skills, confidence, and fluency to use emerging tools effectively on technical and non-technical teams when solving the world’s greatest challenges.
Discover the Fung Institute’s Technology Leadership courses designed for undergraduates to understand, communicate, and strategically leverage technology for greater impact. In addition to leadership skills, join fellow UC Berkeley students and visiting scholars alike as they build their fluency, their network, and their job prospects while attending in-person Technology Leadership courses in the heart of Silicon Valley. Students not yet technologists or engineers are encouraged to join the cohort to bridge the technical and non-technical gap so important to solving the multifaceted problems the world faces today.
Summer Sessions
A constellation of Summer Sessions courses has been developed to offer a comprehensive approach to Technology Leadership.
For Summer 2026, we are offering courses in the following topics:
- Leveraging AI
- Product Management
- High-impact Communications
- Optimizing Firms for Innovation
- Entrepreneurship
These courses are offered in-person in 6 or 8 week durations.
Register for our Summer 2026 course offerings here:
170A Technology Leadership: Optimizing Firms for Innovation
170D Technology Leadership: Entrepreneurship
170E Technology Leadership: Leveraging AI
170F Technology Leadership: High Impact Communication
185 Beyond Data: Scientific Writing for Non-Scientific Audiences
See course descriptions below:
This course covers management and innovation for technology firms. It provides an in-depth look at how technology firms decide on which organization model to use in order to reduce silos and leverage the different parts of the firm to create a greater whole. Next, an in-depth look at how well structured firms optimize technology strategy and operations. The workshop then covers how optimally organized firms create innovation programs and corporate incubators.
Over the course of the semester, students will gain exposure to a wide variety of scenarios and decisions faced by an entrepreneur interested in starting a scalable business. Using a variety of cases, this course will explore evaluating opportunities, customer discovery, planning for and launching an entrepreneurial endeavor (especially those that could attract third party financing), fundraising, the Business Model Canvas and exit. Students will be required to employ technical abilities and multidisciplinary analysis while digesting and dissecting case studies. Class discussions will focus on issues raised in case studies, including analysis, brainstorming, diagnosis, and recommendations.
Through carefully selected case studies, you’ll engage with real-world business applications of machine learning, computer vision, and digital twins while developing the leadership skills needed to drive technological innovation. Working with peers and industry experts, you’ll analyze how top firms are cutting costs and boosting efficiency with AI through collaborative exercises and discussions. You’ll tackle concrete challenges like predictive maintenance and automated quality control, gaining practical tools and proven strategies for your organization. Join a cohort of future engineering leaders ready to turn AI’s potential into measurable business results.
This course is designed to empower students to become better communicators. We will explore fundamental lessons, like crafting a core message and understanding your audience. Students will cover the importance of delivery and presence. We will cover foundational lessons from storytelling and students will have the opportunity to craft and present multiple stories and give and receive feedback. Students will learn how to make use of supporting materials, like slides, to enhance their presentations.
Are you looking to satisfy a Humanities and Social Sciences requirement this summer and free up your schedule for technical classes next year? ENGIN 185, Beyond Data: Scientific Writing for Non-Scientific Audiences, is made for you. It highlights ways to bridge the disconnects between engineers and broader audiences to get things done, whether it’s crafting AI policies or securing research grant funding.
Learn More and register by April 28.