This Program is Perfect For

  • Tech professionals
  • Entrepreneurs
  • Researchers
  • People in career transition

Building enterprise AI applications like it's 2026

In the first University of California certificate for Artificial Intelligence Application Development, Silicon Valley industry leaders teach you to develop for today's emerging business strategies.

Learning outcomes

  • Analyze and evaluate machine learning models
  • Develop innovative AI solutions using advanced technologies
  • Solve complex AI problems through advanced techniques
  • Communicate and collaborate effectively in AI projects

AI developers are in high demand

Get the skills you need to grow your career in this rapidly evolving field.
 

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Acquire

Master the fundamentals, move on to advanced techniques, and prepare for emerging technologies.

Develop AI App Development - robot that is both the computer

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.

Demonstrate - AI App Development - Laptop graphic beaming da

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.

View course calendar

1. Required Course(s):
Title units Fall Spring Summer Winter
Introduction to Machine Learning 3.0 Flexible, Live-Online Flexible
Deep Learning and Artificial Intelligence 3.0 Flexible, Live-Online
2. Elective Courses: (Choose Two)
Title units Fall Spring Summer Winter
Computer Vision and Image Processing 3.0 Live-Online Live-Online
Natural Language Processing 3.0 Flexible
Deep Reinforcement Learning 3.0 Live-Online Live-Online
Artificial Intelligence for Robotics 3.0 Flexible
GANs for Data Synthesis 3.0
3. Capstone Course:
Title units Fall Spring Summer Winter
Capstone Building Integrated AI Applications 2.0 Live-Online
4. Completion Review:
Title units Fall Spring Summer Winter
Artificial Intelligence Application Development Certificate Completion Fee

1. Required Course(s):

AISV.X400
$980
  • Flexible Attend in person or via Zoom at scheduled times.
Schedule
Date Start Time End Time Meeting Type Location
Sat, 07-25-2026 9:00am 2:00pm Flexible SANTA CLARA / REMOTE
Sat, 08-01-2026 9:00am 2:00pm Flexible SANTA CLARA / REMOTE
Sat, 08-08-2026 9:00am 2:00pm Flexible SANTA CLARA / REMOTE
Sat, 08-15-2026 9:00am 2:00pm Flexible SANTA CLARA / REMOTE
Sat, 08-22-2026 9:00am 2:00pm Flexible SANTA CLARA / REMOTE
Sat, 08-29-2026 9:00am 2:00pm Flexible SANTA CLARA / REMOTE
 

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.

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Prerequisites / Skills Needed

Prerequisites:

  • DBDA.X427: Python for Machine Learning

Skills Needed:

  • Familiarity with Google Colaboratory and Jupyter Notebooks
  • Reasonably good programming/debugging skills beyond the basic or beginner level
  • Familiarity with Python programming, NumPy, and Pandas
  • Comfortable with basic knowledge of algebra, calculus, probability and statistics
Spring
Summer
AISV.X401
$980 (Estimated Cost)
Currently no classes scheduled. Would you like to be notified when a class is available?
Spring

2. Elective Courses: (Choose Two)

AISV.X406
$980
  • Live-Online Attend via Zoom at scheduled times.
Schedule
Date Start Time End Time Meeting Type Location
Wed, 07-08-2026 6:00pm 9:00pm Live-Online REMOTE
Wed, 07-15-2026 6:00pm 9:00pm Live-Online REMOTE
Wed, 07-22-2026 6:00pm 9:00pm Live-Online REMOTE
Wed, 07-29-2026 6:00pm 9:00pm Live-Online REMOTE
Wed, 08-12-2026 6:00pm 9:00pm Live-Online REMOTE
Wed, 08-19-2026 6:00pm 9:00pm Live-Online REMOTE
Wed, 08-26-2026 6:00pm 9:00pm Live-Online REMOTE
Wed, 09-02-2026 6:00pm 9:00pm Live-Online REMOTE
Wed, 09-09-2026 6:00pm 9:00pm Live-Online REMOTE
Wed, 09-16-2026 6:00pm 9:00pm Live-Online REMOTE
 

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 August 5, 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.

Required Tools and Materials: Google Colab PRO

Recommended Texts and Materials:
Google Cloud Platform

Computer Vision by Richard Szeliski, Springer Science and Business Media, 2010. ISBN: 978-1848829350.

||

Prerequisites / Skills Needed

Prerequisites:

  • AISV.X401: Deep Learning and Artificial Intelligence
Spring
Summer
AISV.X402
$980
  • Flexible Attend in person or via Zoom at scheduled times.
Schedule
Date Start Time End Time Meeting Type Location
Fri, 06-26-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Fri, 07-10-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Fri, 07-17-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Fri, 07-24-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Fri, 07-31-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Fri, 08-07-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Fri, 08-14-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Fri, 08-21-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Fri, 08-28-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
Fri, 09-04-2026 6:00pm 9:00pm Flexible SANTA CLARA / REMOTE
 

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 meeting on July 3, 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.

||

Prerequisites / Skills Needed

Prerequisites:

  • AISV.X401: Deep Learning and Artificial Intelligence

Skills Needed:

  • Moderate level of computer programming ability in Python, comfortable with an editor, familiarity with basic command-line operations on a laptop, and a good understanding of Machine Learning models and Deep Learning models.
Summer
AISV.X403
$980
  • Live-Online Attend via Zoom at scheduled times.
Schedule
Date Start Time End Time Meeting Type Location
Thu, 06-18-2026 6:00pm 9:00pm Live-Online REMOTE
Thu, 06-25-2026 6:00pm 9:00pm Live-Online REMOTE
Thu, 07-02-2026 6:00pm 9:00pm Live-Online REMOTE
Thu, 07-09-2026 6:00pm 9:00pm Live-Online REMOTE
Thu, 07-16-2026 6:00pm 9:00pm Live-Online REMOTE
Thu, 07-23-2026 6:00pm 9:00pm Live-Online REMOTE
Thu, 07-30-2026 6:00pm 9:00pm Live-Online REMOTE
Thu, 08-06-2026 6:00pm 9:00pm Live-Online REMOTE
Thu, 08-13-2026 6:00pm 9:00pm Live-Online REMOTE
Thu, 08-20-2026 6:00pm 9:00pm Live-Online REMOTE
 

Due to the advanced nature of this course, students must complete the "Deep Learning and Artificial Intelligence" course, or have prior instructor approval to register. Please inquire with any questions.

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.

Students are required to have computers with Python 3 installed.

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): Reinforcement Learning, second edition, Authors: Richard S. Sutton, Andrew G. Barto, Publisher: MIT Press, Publication Date: 2018-11-13, ISBN: 9780262352703

||

Prerequisites / Skills Needed

Prerequisites:

  • AISV.X401: Deep Learning and Artificial Intelligence
Spring
Summer
AISV.X405
$980 (Estimated Cost)
Currently no classes scheduled. Would you like to be notified when a class is available?
Spring
Currently no classes scheduled. Would you like to be notified when a class is available?

3. Capstone Course:

AISV.X490
$795
  • Live-Online Attend via Zoom at scheduled times.
Schedule
Date Start Time End Time Meeting Type Location
Mon, 06-15-2026 6:00pm 9:00pm Live-Online REMOTE
Mon, 06-22-2026 6:00pm 9:00pm Live-Online REMOTE
Mon, 06-29-2026 6:00pm 9:00pm Live-Online REMOTE
Mon, 07-06-2026 6:00pm 9:00pm Live-Online REMOTE
Mon, 07-13-2026 6:00pm 9:00pm Live-Online REMOTE
Mon, 07-20-2026 6:00pm 9:00pm Live-Online REMOTE
Mon, 07-27-2026 6:00pm 9:00pm Live-Online REMOTE
Mon, 08-10-2026 6:00pm 9:00pm Live-Online REMOTE
 

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 August 3, 2026. 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.

||

Prerequisites / Skills Needed

Prerequisites:

  • AISV.X401: Deep Learning and Artificial Intelligence

Skills Needed:

  • A working knowledge of GCP. 
Summer

4. Completion Review:

O-CE0422
$95
Schedule
 

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.

AI Program Chair

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

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