Streamlining the office with AI
This Program is Perfect For
- Non-technical professionals wanting to streamline typical office workflows using AI
- Business leaders or team leads eager to harness AI responsibly and innovatively
- Professionals seeking a flexible, badge-ready credential to signal AI-savviness
Practical AI for workplace automation
In this highly practical specialization for the nontechnical professional, students explore the characteristics of generative AI and learn real-world AI applications to improve workplace productivity.
You’ll explore AI use cases and learn to streamline your daily tasks, such as document and presentation creation, report generation, and project management—all using readily available, free AI technology and by refining your AI prompts.
Strategic innovation. Responsible AI integration.
By implementing the principles of generative AI, students address ethical challenges while deploying new models.
- Get hands-on practice with freely available AI-enhanced tools.
- Learn efficient natural language prompts for generating content.
- Experience robotic process automation (RPA).
- Integrate AI intelligence.
- Evaluate agent performance.
- Explore advancements toward human-level control.
- Increase your understanding of the ethical, responsible, and security aspects of AI.
By the end of the program, you'll be empowered to leverage AI effectively for personal and professional growth in diverse settings and have a comprehensive understanding of AI technologies, ethical implications, and practical applications across industries.
Learning outcomes
- Optimize AI technology for specific needs.
- Address ethical challenges while deploying effective 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
Total: 4 courses. (7.5 CEUs)
- 3 required courses (5.5 CEUs)
- Choose 1 elective credit course (2 CEUs)
- End with review of specialization completion
| Title | units | Fall | Spring | Summer | Winter |
|---|---|---|---|---|---|
| The Business of AI | Flexible | ||||
| Generative AI Fundamentals | Flexible | ||||
| AI Tools for the Office | Live-Online |
| Title | units | Fall | Spring | Summer | Winter |
|---|---|---|---|---|---|
| Generative AI in the Enterprise: RAG and AI Agents | Flexible | ||||
| Intelligent Automation: Enhancing workflows with AI-powered RPA |
| Title | units | Fall | Spring | Summer | Winter |
|---|---|---|---|---|---|
| Specialization in AI Business Practices Completion Fee |
1. Required Courses:
- Flexible Attend in person or via Zoom at scheduled times.
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Wed, 02-18-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Wed, 02-25-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Wed, 03-04-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Wed, 03-11-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Wed, 03-18-2026 | 6:30pm | 9:30pm | 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.
Required Text:
What is ChatGPT Doing, Stephen Wolfram, Wolfram Media, 2023. ISBN: 9781579550820
- Flexible Attend in person or via Zoom at scheduled times.
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Thu, 01-29-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 02-05-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 02-12-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 02-19-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 02-26-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 03-05-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 03-12-2026 | 6:30pm | 9:30pm | 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.
- Live-Online Attend via Zoom at scheduled times.
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Mon, 04-20-2026 | 6:30pm | 9:30pm | Live-Online | REMOTE |
| Mon, 04-27-2026 | 6:30pm | 9:30pm | Live-Online | REMOTE |
| Mon, 05-04-2026 | 6:30pm | 9:30pm | Live-Online | REMOTE |
| Mon, 05-11-2026 | 6:30pm | 9:30pm | Live-Online | REMOTE |
| Mon, 05-18-2026 | 6:30pm | 9:30pm | Live-Online | REMOTE |
| Mon, 06-01-2026 | 6:30pm | 9:30pm | Live-Online | REMOTE |
| Mon, 06-08-2026 | 6:30pm | 9:30pm | Live-Online | REMOTE |
| Mon, 06-15-2026 | 6:30pm | 9:30pm | 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 May 25, 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.
2. Complete one of the following.
- Flexible Attend in person or via Zoom at scheduled times.
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Thu, 04-09-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 04-16-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 04-23-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 04-30-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 05-07-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 05-14-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 05-21-2026 | 6:30pm | 9:30pm | Flexible | SANTA CLARA / REMOTE |
| Thu, 05-28-2026 | 6:30pm | 9:30pm | 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.
3. Completion Review:
Please enroll in the AI Business Practices Completion Fee only when all of the specialization requirements have been met and your final grades are posted.
Requisite knowledge
We recommend that you launch your studies in AI Business Practices with AI Essentials or have equivalent knowledge.
Establish Candidacy
Instructors
Hien Luu
HIEN LUU, M.S, head of machine learning infrastructure at Zoox and chair of the AI Business Practices, has over 20 years of experience designing and developing scalable web applications and big data infrastructure and applications at Silicon Valley companies, such as DoorDash, LinkedIn, Uber, Netflix, and Yahoo. He specializes in big data technologies and machine learning and is an artificial intelligence enthusiast. He has a bachelor’s degree in Electrical Engineering from the University of Washington and a master’s degree in Software Engineering from San Jose State University. He has taught for UCSC Extension since 2003, serves as chair of both the AI Business Practices and the AI Engineer programs, and as an advisor on the Data Science and Data Analysis Advisory Board.