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.
