Empowering humans through AI
This Program is Perfect For
- Tech professionals
- Entrepreneurs
- Researchers
- People in career transition
Acquire
Master the fundamentals, move on to advanced techniques, and prepare for emerging technologies.
Specialize
Develop keen insights and high-level skills in your specialty as you build a robust portfolio to set yourself apart in the competitive job market.
Deploy
Demonstrate your mastery that will make employers take notice. Complete the program with the capstone course.
Courses
Program Requirements
Total: 14 units
- 2 required courses (6 quarter units)
- 2 elective courses (6 quarter units)
- Capstone course (2 quarter units)
- End with certificate of completion review.
1. Required Course(s):
- Flexible Attend in person or via Zoom at scheduled times.
This class meets simultaneously in a classroom and remotely via Zoom. Students are expected to attend and participate in the course, either in-person or remotely, during the days and times that are specified on the course schedule. Students attending remotely are also strongly encouraged to have their cameras on to get the most out of the remote learning experience. Students attending the class in-person are expected to bring a laptop to each class meeting.
No meetings on January 19 and February 16, 2026. To see all meeting dates, click “Full Schedule” below.
You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Recommended Text:
"Deep Learning", Ian Goodfellow, Yoshua Bengio and Aaron Courville, MIT Press 2016 ISBN# 978-0262035613. A free e-book is available at http://www.deeplearningbook.org (Links to an external site.)
- Flexible Attend in person or via Zoom at scheduled times.
This class meets simultaneously in a classroom and remotely via Zoom. Students are expected to attend and participate in the course, either in-person or remotely, during the days and times that are specified on the course schedule. Students attending remotely are also strongly encouraged to have their cameras on to get the most out of the remote learning experience. Students attending the class in-person are expected to bring a laptop to each class meeting.
To see all meeting dates, click "Full Schedule" below.
You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Programming Tools: Current version of Python with ability to install packages as needed.
2. Elective Courses: (Choose Two)
- Flexible Attend in person or via Zoom at scheduled times.
This class meets simultaneously in a classroom and remotely via Zoom. Students are expected to attend and participate in the course, either in-person or remotely, during the days and times that are specified on the course schedule. Students attending remotely are also strongly encouraged to have their cameras on to get the most out of the remote learning experience. Students attending the class in-person are expected to bring a laptop to each class meeting.
No meetings on November 29th. To see all meeting dates, click “Full Schedule” below.
Electronic Course Materials: You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
- Live-Online Attend via Zoom at scheduled times.
6/18/2024: Schedule change. Please review full schedule details.
This class is offered in an online synchronous format. Students are expected to log into this course via Canvas at the start time of scheduled meetings and participate via Zoom, for the duration of each scheduled class meeting.
To see all meeting dates, click "Full Schedule" below.
Electronic Course Materials: You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Recommended Text(s):
Computer Vision by Richard Szeliski, Springer Science and Business Media, 2010. ISBN: 9781848829350
3. Capstone Course:
- Live-Online Attend via Zoom at scheduled times.
This class is offered in an online synchronous format. Students are expected to log into this course via Canvas at the start time of scheduled meetings and participate via Zoom, for the duration of each scheduled class meeting.
To see all meeting dates, click “Full Schedule” below.
Electronic Course Materials: You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
- Live-Online Attend via Zoom at scheduled times.
This class is offered in an online synchronous format. Students are expected to log into this course via Canvas at the start time of scheduled meetings and participate via Zoom, for the duration of each scheduled class meeting.
No meeting on March 27, 2026. To see all meeting dates, click "Full Schedule" below.
You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Note: Cloud platform free trials may include additional usage-based costs. Students should monitor their activity carefully to avoid unexpected charges.
4. Completion Review:
Please enroll in the Artificial Intelligence Application Development Certificate Completion Fee only once all of the certificate requirements have been met and your final grades are posted.
Recommended course sequence
It is highly recommended that students begin with Introduction to Machine Learning (AISV.X400). After that, courses may be taken in any order provided the prerequisites are met.
Grade requirements
Please note that only letter grades of C or higher may be applied to a certificate, and in some programs, students may have more stringent requirements. Students in most employer- and government-sponsored payment programs, such as workforce development, as well as international students on F-1 visas, need to maintain a B average to meet their requirements.
See Grading and Credits Policy for further information.

Establish Candidacy
Instructors
AI Program Advisory Committee
PAUL BALDASSARI, Magister (Australia)
President, Manufacturing and Services, Flex
AJAY BARANWAL, M.A.
Director, Center for Deep Learning in Electronics Manufacturing
AI Program Instructor, UCSC Extension
RAHUL BHUMAN, M.S., M.B.A.
Co-founder
Enterprise Minds, Inc.
MOENES ISKAROUS, Ph.D.
Chief Technology Officer, AI and Machine Learning for IoT, Compute & Wireless, Infineon Technologies
PRAVEEN KRISHNA, M.S.,
Cofounder of an AI Startup
AI Program Chair and Instructor, UCSC Extension
JASON SAMAHA, Ph.D.
Asst. Professor, Cognitive and Computational Neuroscience: Cognitive Neuroscience, Cognition: Fundamental Theories, The Neuroscience of Consciousness, UC Santa Cruz Psychology Department
MIKE SCHMIT, B.S.M.E.
Director of Software Engineering, AMD
