AI Leadership Accelerator
$6,200
Program Snapshot
- Program: AI Leadership Accelerator
- Institution: UC Berkeley Engineering Professional Education
- Format: In-person executive program
- Duration: 3 days
- Audience: C-suite and senior leaders
- Focus: AI strategy, governance, and future implications
- Faculty: UC Berkeley AI and technology leaders
- Credential: Certificate of Completion
What You Get
A clear AI strategy roadmap for your organization
Exclusive insights from top Berkeley AI researchers and industry leaders
Decision frameworks for enterprise AI adoption
A trusted peer network of senior executives and AI leaders
Exclusive AI Insights for Senior Leaders
Through a highly interactive, in-person curriculum led by UC Berkeley faculty and leading industry practitioners, you will develop a clear understanding of how artificial intelligence is transforming organizations today and where it is headed next.
This executive AI program focuses on strategic decision-making rather than technical implementation. You will explore how senior leaders should think about AI strategy, organizational readiness, governance, and long-term value creation across functions and industries.
Participants leave with actionable insights, a customized AI strategy roadmap tailored to their organization, and access to a trusted peer network of executives and AI experts. All learning takes place within the innovation-driven ecosystem of UC Berkeley and Silicon Valley.
Who Should Attend
C-suite leaders and senior executives
Business and digital transformation leaders
Decision-makers in AI-driven industries
Innovation and operations executives integrating AI
Leaders seeking global perspective and executive networks
Pieter Abbeel - AI Pioneer
Professor, Berkeley EECS
Director, Berkeley Robot Learning Lab
Co-Director, BAIR lab
Co-Founder and Chief Scientist, Covariant
Co-Founder, Gradescope
Host, The Robot Brains Podcast
Founding Investment Partner, AIX Ventures
Abbeel's research strives to build ever more intelligent systems, which has his lab push the frontiers of deep reinforcement learning, deep imitation learning, deep unsupervised learning, transfer learning, meta-learning, and learning to learn, as well as study the influence of AI on society. His lab also investigates how AI could advance other science and engineering disciplines. Abbeel has founded three companies: Gradescope (AI to help teachers with grading homework and exams), Covariant (AI for robotic automation of warehouses and factories), and Berkeley Open Arms (low-cost, highly capable 7-dof robot arms), advises many AI and robotics start-ups, and is a frequently sought after speaker worldwide for C-suite sessions on AI future and strategy.
Learn more about Pieter's background undergrad school KU Leuven: here
David Gallacher – Business Strategy Expert
Industry Fellow, UC Berkeley College of Engineering, SCET
David Gallacher was previously T-Mobile's Senior Vice President of Engineering and Operations responsible for the Western United States.
David has led a number of internal business transformation assignments during his 16-year tenure at T-Mobile, including the Reinvent program, a company-wide initiative that streamlined business processes and ideated new products and services that formed the basis for many of the Uncarrier initiatives responsible for the dramatic turn-around in T-Mobile's performance.
Featured Speakers
Ali Ghodsi, PhD
Databricks / UC Berkeley
Olaf Groth, PhD
Marc Tarpenning & Martin Eberhardt
Stuart Evans, PhD
Carnegie Mellon University, Silicon Valley
Gregory La Blanc
David Evan Harris
UC Berkeley Haas School of Business
Hany Farid
UC Berkeley / TrueMedia.org
Deirdre Mulligan, PhD
Anca Dragan, PhD
UC Berkeley College of Engineering / Google DeepMind
Geeta Pyne
TIAA
Declan Morris
Amazon Web Services (AWS)
Sepehr Khosravi
AI Thought Leader
AI Ethics Specialist
Engineering Professor & Robotics Entrepreneur
Sustainable Business Expert
Entrepreneurship Mindset & Pedagogy
Scaling AI Enterprises
Strategy & Risk Expert
through change?
Participants begin by establishing a shared understanding of today’s most transformative AI technologies—from large language models and autonomous agents to the ethical, policy, and governance questions they raise. Sessions will explore both the potential and the risks of AI deployment, including real-world case studies of unintended consequences. The day also features a curated showcase of early-stage AI ventures, followed by a fireside conversation on applied AI leadership across sectors.
Sample themes:
- The evolving AI landscape: what leaders need to know now
- AI ethics, governance, and legal risk
- Insights from Berkeley-born AI startups
- Leading through uncertainty and acceleration
leadership potential
For Individuals
For Groups