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Specialization

AI Strategies, Productivity and Practices

Streamlining the office with AI

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award Description

Beyond the hype: 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.

Program Overview

Estimated Cost: $2,275 (You pay only for courses you enroll in.)
Program Requirements: 7.5 CEUs
Minimum Hours of Instruction: 75 hours
Estimated Duration: A Student can complete the program in 6–9 months.
Modality: You can complete this program fully online, in person, or choose a mix of course formats.
Special Programs: This program is not approved for workforce or international students.

Courses


1. Required Courses: You must complete the four courses below.

Quarter Units: 2.0 CEUs
Start / End Date
Cost
Instructor
Location
Section ID
Want to enroll or get the estimated cost of future sections? Notify Me
Quarter Units: 2.0 CEUs
Start / End Date
Cost
Instructor
Location
Section ID

01-30-2025 to 03-13-2025
$625.00
AISV.814.(3)
See complete class schedule here.
Want to enroll or get the estimated cost of future sections? Notify Me
Quarter Units: 2.0 CEUs
Start / End Date
Cost
Instructor
Location
Section ID
Want to enroll or get the estimated cost of future sections? Notify Me
Quarter Units: 1.5 CEUs
Start / End Date
Cost
Instructor
Location
Section ID

11-06-2024 to 12-04-2024
$580.00
AISV.800.(11)
See complete class schedule here.

02-19-2025 to 03-19-2025
$580.00
AISV.800.(12)
See complete class schedule here.
Want to enroll or get the estimated cost of future sections? Notify Me

2. Completion Review:

Start / End Date
Cost
Instructor
Location
Section ID
Want to enroll or get the estimated cost of future sections? Notify Me

Meet Our Instructors

Ajay K Baranwal
Dtr, Ctr for Deep Learning in Electronics Manufacturing | Chair, AI Program
Bineet Sharma
Director/Assoc. Professor, Univ. of Silicon Valley|Chair/Instructor UCSC SV
Hien C Luu
Program Chair | Head of Machine Learning Infrastructure, Zoox

Specialization Inquiry Form

Contact Us
Speak to a student services representative.

Call (408) 861-3860

Envelope extension@ucsc.edu

Advisory Board

Instructor Hein Luu headshot

Program Chair

HIEN LUU, M.S, head of machine learning infrastructure at Zoox, 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. Learn more.

Requisite Knowledge

We recommend that you launch your studies in AI Strategies, Productivity and Practices with AI Essentials or have equivalent knowledge.

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