AI Leadership Accelerator
$6,200
Program Snapshot
AI Leadership
Accelerator
UC Berkeley Engineering
Professional Education
Credential
Certificate of
Completion
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
What You’ll Actually Do (Day-by-Day Experience)
MONDAY, APRIL 13 – VISION
- AI Foundations: What Leaders Need to Know
- Fireside Chat: AI in Practice — From Vision to Reality
- AI Ethics, Governance & Policy
- Cybersecurity in the Age of AI
- AI Research Showcase: From Campus to Impact
- Welcome Reception
TUESDAY, APRIL 14 – STRATEGY
- The Science of AI Adoption
- From Strategy to Deployment: Operationalizing AI
- Panel: From Priority to Production — Making AI Real
- Generative AI in Action
- Why Most AI Projects Fail
WEDNESDAY, APRIL 15 – EXECUTION
- Measuring AI ROI
- Leading in the AI Era
- The AI Stack: A Tool Selection Framework
- Fireside Chat: Where AI Is Going—and What Leaders Should Do Now
- AI Readiness Assessment Workshop
- Strategic Roadmap Development
What You Get
A personalized AI 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
Senior leaders responsible for driving AI strategy
Senior leaders responsible for setting AI strategy and guiding organizational decision-making.
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
Ion Stoica
- Director of Sky Computing Lab
- Co-Founder & Executive
Chairman, Databricks - Co-founder of Anyscale
- Co-founder of Conviva Networks
- Professor of Computer Science Division at University of California, Berkeley
FORBES | Aug 2025
"This billionaire professor chose teaching over the boardroom — and it's why the world's most influential AI companies came out of his lab."
Read the full Forbes profile to understand what makes Ion Stoica a rare voice in AI leadership education.
Olaf Groth, PhD
- CEO, Cambrian.ai
- Professional Faculty, Berkeley Haas Business School
Gregory La Blanc
- Lecturer & Distinguished Teaching Fellow, Berkeley Haas School of Business
- Academic Fellow, Berkeley Engineering SCET
Alexa Koenig, PhD
- Faculty Director, UC Berkeley Human Rights Center
- Co-Founder + Director, Investigations Lab
Sepehr Khosravi
-
Machine Learning Platform Engineer; Instructor
Coinbase / UC Berkeley
Veronica Fernandez
- Strategic Fintech & Payments Executive, ex-Visa SVP
Ashwani Wason
FORBES
How A Berkeley Professor Built Billion-Dollar Companies In His Lab
BUSINESS CHIEF
Pieter Abbeel to Lead Amazon's Gen AI Strategy
CAPGEMINI
Navigating tech, geopolitics, and the big trends: A conversation with Olaf Groth
-
Co-Founders, Tesla
- Distinguished Service Professor
-
Chancellor’s Public Scholar
-
Professor, EECS & School of Information
Co-Founder TrueMedia.org
-
Professor, School of Information, UC Berkeley
-
Director of AI Safety at Google DeepMind
-
Chief Architect, AI/ML TIAA
-
Enterprise Strategist, Amazon Web Services (AWS)
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Distinguished Professor, UC Berkeley Computer Science
Professor of Computational Precision Health, UCSF
-
Senior Director of Policy, Americans for Responsible Innovation
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Engineering Professor & Robotics Entrepreneur
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Sustainable Business Expert
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Managing Director & Chief Learning Officer, Sutardja Center for Entrepreneurship & Technology
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CEO, Anyscale
-
CEO, Strategy Risks
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
Hakeem Oseni
Kasey Erickson
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Beyond ROI: Are We Using the Wrong Metric in Measuring AI Success?
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For Individuals
For Groups