AI
is no longer a niche capability. It is becoming a baseline expectation across
roles, functions, and industries. If we look at today’s highly competitive
labor market, AI and machine learning roles are growing significantly faster
than most other professions globally, creating a strong demand for
professionals with both technical depth and strategic capability, but the real
shift is deeper. Organizations are no longer just experimenting with AI. They
are trying to scale it. And that reveals a critical gap. The challenge is not
access to tools, but the ability to either build them at depth or lead them at
scale.
This
shift is creating two clear career paths in the AI economy. One for
professionals who want to build AI systems, and another for those who need to
lead AI transformation within organizations. Both require very different skill
sets. And increasingly, both require structured, high-quality learning to move
beyond surface-level understanding. This is where UC Berkeley Executive
Education’s AI programs are becoming relevant, offering distinct pathways for
both builders and leaders.
1.
Artificial Intelligence & GenAI: Business Strategies and
Applications
●
Focuses on AI strategy, governance, and
enterprise integration
●
Helps leaders prioritize use cases and align
AI with business outcomes
●
Accessible for non-technical professionals
leading AI initiatives
●
Includes 4 global faculty sessions and 2 GenAI
masterclasses
●
Capstone project built around a real AI
initiative within your organization
The
program addresses a critical gap: the difference between understanding AI and
successfully deploying it at scale.
Program
details:
Duration:
3 Months
Starts: 30 June 2026
Mode: Online + Live Sessions
Credential: UC Berkeley Executive Education Certificate of Completion
2.
Post Graduate Program in AI and Machine Learning
●
Designed for professionals ready to move from
using AI tools to building them.
●
Covers end-to-end AI and ML, from foundations
to advanced topics like LLMs and GenAI
●
Structured across three pillars: fundamentals,
techniques, and advanced applications
●
Hands-on experience with 25+ tools including
TensorFlow, PyTorch, and HuggingFace
●
Application of Generative AI across the
enterprise
●
Capstone project that includes working with
real-world data sets
With
guidance from world-class faculty and domain experts, participants build
technical credibility that goes beyond surface-level AI exposure.
Program
details:
Duration:
9 Months
Starts: 30 June 2026
Mode: Online + Live Online
Credential: UC Berkeley Executive Education Certificate of Completion
The
Road Ahead
AI
is becoming universal. Expertise is not.
The next phase of
careers in technology will not be defined by who can access AI, but by who can
build it or lead it effectively. Surface-level familiarity is quickly becoming
insufficient. Organizations are looking for professionals who can translate AI
into real systems, real strategies, and real outcomes. Because in 2026, knowing
AI won’t set you apart, what you do with it will.
About UC Berkeley
Executive Education
UC
Berkeley Executive Education offers a portfolio of online and in-person
programs developed by the most forward-thinking minds in academia and industry
to accelerate the careers of professionals around the globe. Here, executives
have abundant resources at their fingertips, from award-winning faculty and
national laboratory research to the vibrant ecosystem of Silicon Valley. These
tools, engaged in one of the most dynamic learning environments in the world,
combine to create a powerful experience for business executives seeking a
competitive edge.
About
Emeritus
UC
Berkeley Executive Education is collaborating with online education provider
Emeritus to offer a portfolio of high-impact online
programs. These programs leverage UC Berkeley Executive Education's thought
leadership in management practice developed over years of research, teaching,
and application.
