Artificial Intelligence
AI for a thriving society
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series Description
"Use of generative AI has nearly doubled in the last six months,1 with 75% of global knowledge workers using it."
— 2024 Work Trend Index Annual Report from Microsoft and LinkedIn, May 8, 2024
AI specialist is the top emerging job of the decade
The wave of artificial intelligence data and technology sweeping across industry is transforming how we work, how we develop new products and services, how we measure our success, and how we plan for the future. That is why we are creating the most comprehensive AI curriculum in the UC Extension system.
AI curriculum for today's workforce
- Hands-on, practical technical skills
- Strategic business acumen
- Skills for a skyrocketing demand
- Interactive online classroom with industry leaders
AI opens doors—AI for All
In this fast-growing multi-billion dollar market, we are casting a wide net to ensure the future is created by many for many. AI is reshaping our workforce, costing jobs in many sectors, and creating new jobs. We want to make sure everyone is ready for the transition—the technically focused, the business-minded, and the seasoned tech worker—as well as the underrepresented populations that often face high barriers to entry into the well-paying tech workforce.
- Industry-aligned curriculum
- Cross-industry skills preparation
- Active curriculum guidance and classroom mentorship
- Tech-focused and business-focused programs
- Lowered barriers to entry for people interested in learning
The first professional certificate program in AI
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 Strategies, Productivity and Practice
- 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.
Generative AI Fundamentals
Learn a little about prompt engineering and the best approach to AI tools, resources, and practices in building generative AI models with Hien Luu, head of machine learning infrastructure at DoorDash and an instructor in our AI program. [December 2023]
Preparing for the AI Future
In this recording, we cover generative AI, NLP, robotics, and reinforcement learning, and provide a preview of a new AI program offering the tools we all will soon be using in our everyday lives. [September 2023]
AI for Robotics: Integrating Techniques and Job Outlook
Get a glimpse of the role AI plays in enabling robotic technologies to solve a variety of enterprise problems and learn new skills that are necessary to be deployed for robotics-based applications in multiple industries. [May 2021]
What's new in AI education?
GANs for Data Synthesis
For deep learning students interested in advanced computer vision, image synthesis, denoising, super-resolution, language modeling and text generation, anomaly detection, drug molecules synthesis, deep reinforcement learning, control systems, and autonomous driving.
AI, Empathy, and Ethics
This nontechnical course provides an overview of artificial intelligence advancements and the ethical challenges we now face as we navigate the development, implementation, and ubiquitous global use of AI. This free, online course is taught through Coursera.
Passionate about teaching AI?
Please let us know if you're interested in joining our esteemed instructor team.
Program Overview
Estimated Cost: Varies.
Program Requirements: Varied CEUs and UC Credit
Minimum Hours of Instruction: Varies
Estimated Duration: Varies
Modality: Courses in this series may be taught online, live-online, and onsite in Santa Clara.
Special Programs: This program is not approved for workforce or international students.
Courses
| Course | Quarter Units | Fall | Winter | Spring | Summer |
|---|---|---|---|---|---|
|
1. Artificial Intelligence (AI) Courses
| |||||
| AI, Empathy, and Ethics | 1.0 CEUs | Spring Online | Summer Online | ||
| AI Essentials | 0.5 CEUs | Fall Flexible | Spring Flexible | Summer Flexible | |
| AI Tools for the Office | 2.0 CEUs | Fall Flexible | |||
| Computational Intelligence | 1.5 | ||||
| Generative AI Fundamentals | 2.0 CEUs | Winter Flexible | Summer Flexible | ||
| Generative AI in the Enterprise: RAG and AI Agents | 2.0 CEUs | Fall Flexible | Spring Flexible | ||
| Intelligent Automation: Enhancing workflows with AI-powered RPA | 2.0 CEUs | Fall Flexible | Spring Flexible | ||
| Python for Machine Learning | 3.0 | Fall Flexible | Winter Flexible | ||
| The Business of AI | 1.5 CEUs | Fall Flexible | Winter Flexible | Summer Flexible | |
|
2. AI Development
| |||||
| Artificial Intelligence for Robotics | 3.0 | Fall Flexible | Spring Flexible | ||
| Capstone Building Integrated AI Applications | 2.0 | Fall Live-Online | Winter Live-Online | Spring Flexible | |
| Computer Vision and Image Processing | 3.0 | Fall Live-Online | |||
| Deep Learning and Artificial Intelligence | 3.0 | Fall Live-Online | Winter Flexible | Spring Flexible | Summer Flexible |
| Deep Reinforcement Learning | 3.0 | Fall Live-Online | Spring Live-Online | ||
| GANs for Data Synthesis | 3.0 | Winter Live-Online | Summer Flexible | ||
| Introduction to Machine Learning | 3.0 | Fall Flexible | Winter Flexible | Spring Flexible | Summer Flexible |
| Natural Language Processing | 3.0 | Winter Live-Online | Summer Live-Online | ||
|
3. AI Workshops
| |||||
| AI Technology Workshop Series: AI in the Semiconductor Industry | 0.3 CEUs | ||||
| AI Technology Workshop Series: For Instructors and Educators | 0.3 CEUs | ||||
| AI Technology Workshop Series: For the User Experience Professional | 0.5 CEUs | ||||
| AI Technology Workshop Series: Github Copilot For Programmers (C/Python) | 0.3 CEUs | ||||
| AI Technology Workshop Series: Unit Testing Tooling and Strategies | 0.3 CEUs |
Meet Our Instructors
Series Inquiry Form
Please be sure you meet the prerequisites for each course. You may choose courses in any order according to your interest.
Nontechnical AI Courses
- The Business of AI
- Edge Artificial Intelligence Development Capstone
- AI-Led Enterprise Transformation: Technologies and Use Cases
AI tech courses
- Natural Language Processing
- Deep Reinforcement Learning
- Python for Machine Learning and Artificial Intelligence, Essentials
- Computational Intelligence, Introduction
- Introduction to Machine Learning and Data Mining
- FPGA Application in Autonomous Driving Systems, Introduction
- Deep Learning and Artificial Intelligence with TensorFlow and Keras
Other AI-related specializations
Python Specialization
Programming for Data Science with Python
Data Scientist
On the horizon
This is just the beginning of our comprehensive AI offerings. Much more is in the works. Please check back here for our next program launch and new courses in the areas of:
- AI for Business
- AI Cybersecurity
- Robotics AI
- AI Ethics
- AI for Healthcare
- DEI for AI
Please fill out the inquiry form above and we'll let you know when any course is open for enrollment.
Advisory Board
Program Co-Chairs
AJAY BARANWAL, M.S., a deep learning semiconductor engineer at D2S where he leads applied deep learning research and development efforts to solve electronics and semiconductor manufacturing problems.
PRAVEEN KRISHNA, M.S., is a highly accomplished AI startup co-founder with over 12 years of experience in education, AI, and the semiconductor industry. He has specialized in end-to-end deep learning workflows/applications, and related hardware co-design and acceleration. Learn more.
AI Program Advisory Committee
PAUL BALDASSARI, Magister (Australia)
President, Manufacturing and Services, Flex
AJAY BARANWAL, MA
Director, Center for Deep Learning in Electronics Manufacturing
AI Program Co-Chair and 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 Co-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