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Enterprise AI Implementation

The business of AI integration

Enroll in Specialization View Individual Courses

Specialization Description

A foundation for bringing AI into business

As companies around the world strive to implement artificial intelligence technologies, we prepare you to address the inherent business challenges of an operational transformation at the enterprise level.

In this focused study of AI, you will study the latest advances in AI systems and capabilities. You will build on your experience, gaining industry insight into how to apply new skills, AI technical skills, and knowledge of proven enterprise implementation practices so you can assist with implementation strategy.

In just four to six months of hands-on practice, you will be ready for real-world challenges. Once you’ve finished these four courses, you’ll have a competitive edge for the job market.

A deep dive into the business of AI integration

Core courses

  • The Business of AI. Learn to create an enterprise roadmap for AI implementation in your specific domain areas. Learn the criteria for choosing high-value use cases and the entire life cycle of strategic planning, proof of concept, and production scale AI deployment.
  • Natural Language Processing. Build a strong foundation to successfully integrate NLP in enterprise solutions and use cases. Learn how to combine NLP with deep and reinforcement learning to deliver innovative and sustainable business outcomes.
  • Deep Reinforcement Learning. Gain a practical view of complexities and business decisions in building, training, and deploying deep learning models in an enterprise environment.

Capstone course

  • Edge Artificial Intelligence Development Capstone. Understand software and hardware trade-offs that affect utilizing machine learning for edge applications and how to develop intelligent edge device applications utilizing machine learning techniques.

Estimated Cost (You pay only for courses you enroll in): $3,195
Required Credits: 9.5 CEUs (Not for UC credit)
Duration: 4–6 months


1. Required Course(s): Complete all three

CEU: 3.0 CEUs
Fall TBD
CEU: 3.0 CEUs
CEU: 1.5 CEUs

09-11-2021 to 10-09-2021

2. Capstone Course:

CEU: 2.0 CEUs

10-18-2021 to 11-15-2021

3. Completion Review:

Specialization Inquiry Form

Contact Us
Speak to a student services representative.

Call (408) 861-3860


Program Chair


AI Program Chair 

BIPIN THOMAS, M.S, is the president of ICURO, a Santa Clara-based artificial intelligence (AI) systems company delivering hardware and software integrated solutions for business growth outcomes. He is an award-winning senior executive with 30 years of experience—from strategy through execution of transformational initiatives at Fortune 500 corporations. Thomas is an expert leading the AI paradigm shift in smart manufacturing (or “industry 4.0”), automotive, retail, and healthcare. As the founding chair of the UCSC Silicon Valley Extension AI Program Advisory Board since 2019, he is spearheading the ongoing expansion of UCSC Silicon Valley AI offerings.

AI Program Advisory Committee

PAUL BALDASSARI, Magister (Australia)
EVP of Strategic Programs and Asset Management at Flex

Head of Tech Mahindra
Instructor, AI-Led Enterprise Transformation: Technologies and Use Cases
UCSC Silicon Valley Extension

Fellow and Cofounder of™
Instructor, Edge Artificial Intelligence Development Capstone
UCSC Silicon Valley Extension

Asst. Professor, Cognitive and Computational Neuroscience: Cognitive Neuroscience, Cognition: Fundamental Theories, The Neuroscience of Consciousness
UC Santa Cruz Psychology Department

Director of Software Engineering at AMD

President of ICURO
Instructor, AI-Led Enterprise Transformation: Technologies and Use Cases
UCSC Silicon Valley Extension

Declaring Candidacy

You can enroll in a specialization program at any time during your studies.

Once you create your student account, you can enroll in a specialization program. Note that the benefit of enrolling early is that it locks in your specialization requirements. This means that even if program requirements change, the requirements to complete your specialization will remain the same for you.

  • You must enroll in the specialization program before enrolling in the Specialization Completion Review.

You have a total of three years to complete the courses for a specialization.

All the necessary units in a specialization must be completed within a three-year window. The clock begins on the first day of your first course in the program. For example, if you started a course on Sept. 5, 2019, you would have to complete all of the required units in this certificate by Sept. 4, 2022.

  • Enrolling in a specialization program does not trigger the beginning of the three-year window. It begins the first day of the first course that applies to the program.
  • The Completion Review process does not have to occur within the three-year timeframe.