Artificial Intelligence Application Development
Empowering humans through AI
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certificate Description
Building enterprise AI applications like it's 2024
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.
AI Application Development 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
Acquire
Master the fundamentals, move on to advanced techniques, and prepare for emerging technologies.
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.
Deploy
Demonstrate your mastery that will make employers take notice. Complete the program with the capstone course.
AI developers are in high demand.
This certificate is perfect for:
- Tech professionals
- Entrepreneurs
- Researchers
- People in career transition
Get the skills you need to grow your career in this rapidly evolving field.
See the Syllabus Library for Course Details
Program Overview
Estimated Cost: Starting at $4,790 (You pay only for courses you enroll in.) | International Tuition Cost
Program Requirements: 14 units. Take 2 required courses (6 quarter units), 2 elective courses (6 quarter units), and the capstone course (2 quarter units). End with certificate of completion review.
Minimum Hours of Instruction: 140 hours of instruction.
Estimated Duration: A full-time student can complete the certificate in 9–12 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 Course(s):
2. Elective Courses: (Choose Two)
3. Capstone Course:
4. Completion Review:
Meet Our Instructors
Certificate Inquiry Form
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.
Advisory Board
AI Program Co-Chairs
AJAY BARANWAL, MA, co-chair of the AI program, is the director of the Center for Deep Learning in Electronics Manufacturing where he leads applied deep learning research and development efforts to solve semiconductor manufacturing problems. Read more.
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, M.A.
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
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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. Personal Financial Planning students have additional grade requirements for individual courses to attain a certificate.
See Grading and Credits Policy for further information.