Advance your business problem-solving skills with ML/AI
This program is designed to provide participants with the essential knowledge and practical applications of ML/AI tools and frameworks needed to transition into a high-demand career in this field. This program is for anyone with a technology or math background, including:
A bachelor's degree or higher
Strong math skills
Some programming experience
An educational background in STEM fields
Technical work experience
Some experience with Python,R, or SQL
Some experience with statistics and calculus
Develop a comprehensive understanding of ML/AI concepts, and identify the best ML models to fit various business situations
Learn how to implement the ML/data science life cycle, and devise cutting-edge solutions to real-life problems within your organization
Interact and collaborate with industry experts to understand the technical and business applications of ML/AI
Analyze generative AI models such as ChatGPT and test their efficacy
Explore innovative business applications for generative AI
Develop a market-ready GitHub portfolio to show prospective employers
Learn from UC Berkeley's globally recognized faculty, and gain a verified digital certificate of completion from UC Berkeley Executive Education
This program introduces learners to the fundamental applications of automation and machine learning, while also allowing them to explore the current capabilities and potential of generative AI.
The knowledge gained each week in this ML/AI program prepares you to conduct your own research and analysis in a capstone project. You will gain the opportunity to interact with industry experts to identify a specific problem within your field and leverage their expertise along with the concepts, models, and tools taught in the program to devise a solution to your chosen problem. By the end of the program, you will come away with a professional-quality GitHub portfolio presentation that you can share on your LinkedIn profile or with potential employers.
Researcher and lecturer with the Mechanical Engineering Department and the Institute of Transportation Studies at UC Berkeley
Gabriel Gomes is a researcher and lecturer with the Mechanical Engineering Department and the Institute of Transportation Studies at UC Berkeley. He received a doctorate degre...
Associate Teaching Professor with the department of Electrical Engineering and Computer Sciences at UC Berkeley
Joshua Hug has been with the department of Electrical Engineering and Computer Sciences at UC Berkeley since 2014 and was a lecturer at Princeton University from 2011 to 2014....
Associate Professor of Business and Public Policy and Economics at UC Berkeley
Reed Walker is an associate professor of business and public policy and economics at UC Berkeley. His research explores the social costs of environmental externalities, such a...
Associate Professor | Egon & Joan Von Kaschnitz Distinguished Professorship
Jonathan Kolstad is an Associate Professor of Economic Analysis and Policy at Berkeley Haas and a research associate at the National Bureau of Economic Research. He is also th...
Learn from UC Berkeley's globally recognized faculty
Earn a certificate of completion from UC Berkeley Executive Education
Explore advanced topics such as generative AI (GenAI)
Learn how to implement the ML/data science lifecycle within your own organization
Build a GitHub portfolio to share with recruiters and potential employers
Embark on an exciting journey to understand, build, and deploy generative AI. Embark on an exciting journey to understand and deploy generative AI. With a dedicated module on generative AI fundamentals, you will grasp the limitations and potential of these technologies for real-world applications. You will learn how to use generative AI models for innovative business use cases, seamlessly integrate APIs on current platforms, and run small image generators or language models locally. By the end, you will be equipped with the skills to use cutting-edge AI tools and lead in the dynamic AI-driven world.
Gain a deeper understanding of ML/Al models and applications through real-world industry examples. Take away new ideas and problem-solving concepts to solve complex ML/Al problems within your own organization.
Peet's Coffee
Learn how this specialty coffee roaster and retailer in the San Francisco Bay Area uses ML to determine the best location for new stores.
Get recognized! Upon successful completion of the program, UC Berkeley Executive Education grants a verified digital certificate of completion to participants. Participants must complete 80% of the required activities including a capstone project (if any) to obtain the certificate of completion. This program also counts toward a Certificate of Business Excellence.
Successful completion of this program fulfills four curriculum days (minimum requirement of 17 curriculum days) towards the UC Berkeley Certificate of Business Excellence (COBE). Learn more on how it works here.
Note: This program results in a digital certificate of completion and is not eligible for degree credit/CEUs. After successful completion of the program, your verified digital certificate will be emailed to you in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of UC Berkeley College of Engineering, Haas School of Business, and Berkeley Executive Education.
Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Program Advisors or call us at +1 315 904 9320 (U.S.) +44 131 381 6127 (U.K.) +65 3138 9495 (Singapore)
Flexible payment options are available.
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