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AI Application Development Certificate Program
Certificate Program

Artificial Intelligence Application Development

Empowering humans through AI

Establish Candidacy View Individual Courses
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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 - AI App Development iStock-1279887071_600x215.jpg

Acquire

Master the fundamentals, move on to advanced techniques, and prepare for emerging technologies.

Develop AI App Development - robot that is both the computer and the thing programming

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.

Demonstrate - AI App Development - Laptop graphic beaming data and analysis

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


Show off your skills with a digital badge.


 

Plan your path to an AI App Development certificate.

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

Course Quarter Units Fall Winter Spring Summer
1. Required Course(s):
Deep Learning and Artificial Intelligence 3.0 Winter Flexible Spring Flexible Summer Flexible
Introduction to Machine Learning 3.0 Fall Flexible Winter Flexible Spring Flexible Summer Flexible
2. Elective Courses: (Choose Two)
Artificial Intelligence for Robotics 3.0 Fall Flexible Spring Flexible
Computer Vision and Image Processing 3.0 Spring Flexible
Deep Reinforcement Learning 3.0 Spring TBD
GANs for Data Synthesis 3.0 Summer Flexible
Natural Language Processing 3.0
3. Capstone Course:
Capstone Building Integrated AI Applications 2.0 Spring Flexible
4. Completion Review:
Artificial Intelligence Application Development Certificate Completion Fee None

Meet Our Instructors

Ajay K Baranwal
Dtr, Ctr for Deep Learning in Electronics Manufacturing | Chair, AI Program
Chinnu Pittapally
Machine Learning & Natural Language Processing Research Engineer, Raytheon
Christin Jose
Senior Applied Scientist, Amazon
Joseph Meyer
Senior Natural Language Processing Researcher, Erudit AI
Kavitha Velusamy
Senior VP of Engineering, Robust.AI
Mohammad Naveed
Senior Director of Engineering, Reltio
Praveen Krishna
Cofounder of an AI Startup | Program Co-Chair
Zara Hajihashemi
Founder and CEO, Cybele Health

Certificate Inquiry Form

Contact Us

Speak to a student services representative.

Call (408) 861-3860

Envelope extension@ucsc.edu

Advisory Board

Ajay Baranwal, Instructor and Co-Chair, AI Program

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, Instructor and Co-Chair of the AI Program

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

Establish Candidacy

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.