AI for a thriving society
This Program is Perfect For
- Technical and business professionals aiming to operate at the frontier of AI-driven innovation
- Individuals seeking experiential, hands-on learning from industry experts
- Professionals requiring flexible, modular training to meet evolving career demands

Artificial Intelligence Application Development
The region's first comprehensive professional certificate program in artificial intelligence is open for enrollment. Courses in this uniquely practical, technical certificate program are approved by the University of California, Santa Cruz and carry UC credit.
Plus a specialization for nontechnical professionals

AI Business Practices
- Optimize AI technology for specific needs.
- Address ethical challenges of generative AI models.
- Enhance workplace productivity via freely available AI-enhanced tools and prompt engineering.
- Set up and evaluate simple agents for task automation.
Courses
Program Requirements
Earn varied CEUs and UC credit.
1. Artificial Intelligence (AI) Courses
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
6/18/2025: Schedule change. Please review full course details.
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.
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.
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
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.
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.
Note: Students will need to purchase a development board for coursework. Below is a list of examples, approximate cost $100:
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
09/25/2025: Format change for first class only. Review full schedule for details.
06/09/25: PLEASE NOTE CHANGE TO THE CLASS START AND END DATES. REVIEW "FULL SCHEDULE" PRIOR TO ENROLLING.
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. Just like a traditional in-person class meeting, you are expected to attend and participate in the discussion. 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 / tablet to each 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.
Required Course Materials
Subscription to OpenAI's ChatGPT, the cost will be around $20 for a monthly subscription. The instructor will provide you with more detail and instructions once the course begins.
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
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.
- Live-Online Attend via Zoom at scheduled times.
黑料不打烊
09/25/2025: Format change for first class only. Review full schedule for details.
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.
Some meetings may be Live-Online via Zoom. 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.
- 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.
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.
Required Text: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow; Aurelien Geron; O'Reilly Media Inc.; 2022. ISBN: 9781098122461
Recommended Text: Python Data Science Handbook; Jake VanderPlas; O'Reilly Media Inc.; 2023. ISBN: 9781098121228
Machine Learning with Python Cookbook; Gallatin and Albon; O'Reilly Media Inc.; 2023. ISBN: 9781098135690
Introduction to Machine Learning with Python; Muller and Guido; O'Reilly Media Inc.; 2023. ISBN: 9781449369897
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
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.
Required Textbook: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow; Aurelien Geron; O'Reilly Media Inc.; 2022. ISBN: 9781098122461
Recommended Textbooks:
Python Data Science Handbook; Jake VanderPlas; O'Reilly Media Inc.; 2023. ISBN: 9781098121228
Machine Learning with Python Cookbook; Gallatin and Albon; O'Reilly Media Inc.; 2023. ISBN: 9781098135690
Introduction to Machine Learning with Python; Muller and Guido; O'Reilly Media Inc.; 2023. ISBN: 9781449369897
- 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.
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.
Required Text:
What is ChatGPT Doing, Stephen Wolfram, Wolfram Media, 2023. ISBN: 9781579550820
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
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.
Required Text:
What is ChatGPT Doing, Stephen Wolfram, Wolfram Media, 2023. ISBN: 9781579550820
2. AI Development
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
Students may still enroll if they missed the 1st class session. However, they need to communicate with the instructor via Canvas and catch up on all missed work prior to the 2nd class meeting.
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.
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.
黑料不打烊
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.
- Live-Online Attend via Zoom at scheduled times.
黑料不打烊
Students may still enroll if they missed the 1st class session. However, they need to communicate with the instructor via Canvas and catch up on all missed work prior to the 2nd class meeting.
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.
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.
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
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 (Links to an external site.)
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
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.
3. AI Workshops
- Flexible Attend in person or via Zoom at scheduled times.
黑料不打烊
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.
Recommended Course Sequence
Please be sure you meet the prerequisites for each course. You may choose courses in any order according to your interest.
Other AI-related specializations
Python Specialization
Programming for Data Science with Python
Data Scientist
Instructors
AI Program Advisory Committee
, Magister (Australia)
President, Manufacturing and Services, Flex
AJAY BARANWAL, MA
Director, Center for Deep Learning in Electronics Manufacturing
Instructor, AI Program, 黑料不打烊 Extension
, M.S., M.B.A.
Co-founder, Enterprise Minds, Inc.
, 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, 黑料不打烊 Extension
Ph.D.
Asst. Professor, Cognitive and Computational Neuroscience: Cognitive Neuroscience, Cognition: Fundamental Theories, The Neuroscience of Consciousness, UC Santa Cruz Psychology Department
, B.S.M.E.
Director of Software Engineering, AMD
