Advance your business problem-solving skills with ML/AI
Industries across the globe are undergoing a transformation driven by machine learning (ML) and artificial intelligence (AI). These technologies are fundamentally changing how businesses operate and how consumers experience the world. This change is fueling global demand for skilled professionals who can develop the next generation of AI/ML innovations, including generative AI (GenAI) tools.
The Professional Certificate in Machine Learning and Artificial Intelligence provides you with the tools and knowledge to thrive in this evolving field. This program equips you with a comprehensive foundation in ML/AI as well as advanced knowledge in data analytics, deep neural networks, natural language processing (NLP), and generative AI. You will gain practical insights into the business applications of these technologies and discover the full extent of their potential.
You will learn from the world-class faculty of Berkeley Executive Education, a prestigious institution ranked among the top five in the U.S. News & World Report Best Global Universities Rankings, through a program developed in collaboration with UC Berkeley's College of Engineering and the Haas School of Business.Throughout this six-month program, you will develop practical, hands-on experience using cutting-edge ML/AI tools and platforms. In addition, you will receive valuable career guidance to help you navigate and succeed in this fast-paced industry. This program is designed to equip you with the market-ready skills you need to launch a fulfilling career in 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 about how it works.
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.
First Payment Of
For each referral when you invite colleagues to the program.
Upskill with a program from a top university
Leverage cohort-based learning, for high completion rates
Many organizations have historically sponsored their employees for our executive education programs. Please check with your employer if they can cover your fee. We can assist you with the necessary documentation and support.
Preparing Your Pitch
If you require company approval, we offer a customizable email template that you can use to show how the program will contribute to your growth.
Invoice Requirements
An invoice will be issued to you after payment. If you require any customization, our advisory team can assist you.
Part/Full Sponsorship
Our advisors are here to support you throughout the reimbursement process, whether your company covers the fee fully or partially.
Additional Questions
Should your employer require specific information to approve your reimbursement, our advisory team is well-equipped to help you.
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.
Last Day to Enroll April 2, 2025 11:59 PM