Professional Certificate in Machine Learning and Artificial Intelligence
Professional Certificate in ML and AI From UC Berkeley Executive Education
Offered in collaboration with the UC Berkeley College of Engineering and the Haas School of Business, University of California, Berkeley, the program gives you a strong foundation in ML, data analytics, deep neural networks, natural language processing (NLP), and generative AI. Through hands-on projects, practical applications, industry insights, career guidance, and a capstone project, you will strengthen your AI and data science skills while applying your learning to real-world scenarios.
$15.7 tn
33%
97 mn
Who Should Enroll in the Professional Certificate in ML and AI Program?
IT, software, and engineering professionals | Develop practical expertise in ML and AI using industry-standard tools and real-world applications |
Data and business analysts | Enhance your analytical capabilities by applying ML to forecasting, automation, and data-driven decision making |
STEM graduates and academics | Expand your technical skill set through applied ML/AI projects and hands-on experience with industry-relevant tools |
What Can You Expect to Learn in the Professional Certificate in ML and AI Program?
Key Takeaways
ML/AI principles: Develop a comprehensive understanding of ML/AI concepts, and identify the best ML models to fit various business situations.
ML solutions: Learn how to implement the ML/data science life cycle, and devise cutting-edge solutions to real-life problems within your organization.
Expert insights: Interact and collaborate with industry experts to understand the technical and business applications of ML/AI.
Generative AI models: Analyze generative AI models, including ChatGPT, and test their efficacy.
Business applications: Explore innovative business applications for generative AI technologies.
Professional portfolio: Develop a market-ready GitHub portfolio to showcase your ML/AI skills and project work to prospective employers.
What Is the Program Curriculum Structure?
The learning experience combines recorded faculty lectures, coding exercises, practical applications, discussions, quizzes, and a capstone project that helps you apply ML and AI concepts to real-world challenges.
Part 1: Foundations of ML/AI
Begin by building a foundation in ML/AI through core concepts, industry-standard terminology, and the data science life cycle. You will then learn how to analyze datasets and visualizations to draw meaningful business insights.
Module 1: Introduction to Machine Learning
Module 2: Fundamentals of Statistics and Distribution Functions
Module 3: Introduction to Data Analytics
Module 4: Fundamentals of Data Analytics
Module 5: Practical Applications I
Part 2: ML/AI Techniques
Build practical Python coding skills as you create k-means algorithms and apply ML functions. You will also learn to predict outcomes using multiple linear regression models, develop visual decision trees, and interpret a range of ML/AI decision models.
Module 6: Data Clustering and Principal Component Analysis (PCA)
Module 7: Linear and Multiple Regressions
Module 8: Feature Engineering and Overfitting
Module 9: Model Selection and Regularization
Module 10: Time Series Analysis and Forecasting
Module 11: Practical Application II
Module 12: Classification and K-Nearest Neighbors
Part 3: Advanced ML/AI Topics
Expand your knowledge of advanced ML/AI concepts, including NLP, deep neural networks, and generative AI. You will also create a professional GitHub portfolio to showcase your skills to prospective employers.
Module 13: Logistic Regression
Module 14: Decision Trees
Module 15: Gradient Descent and Optimization
Module 16: Classifying Nonlinear Features
Module 17: Practical Application III
Module 18: Natural Language Processing
Module 19: Recommendation Systems
Module 20: Ensemble Techniques
Module 21: Deep Neural Networks I
Module 22: Deep Neural Networks II
Part 4: Generative AI and Capstone Project
Conclude the program by exploring how generative AI works and examining its practical applications. You will put your learning into practice through an independent capstone project focused on a real-world ML/AI challenge and present your findings and GitHub portfolio to demonstrate your readiness for applied ML/AI roles.
Module 23: Introduction to Generative AI
Module 24: Capstone Project
How Is Applied Learning Used in the Professional Certificate in ML and AI Program?
The Professional Certificate in Machine Learning and Artificial Intelligence provides an applied learning experience that combines practical projects with industry engagement. Throughout the program, you will develop your skills through coding exercises, live sessions, industry insights, and a capstone project that helps you apply ML/AI concepts in real-world settings.
Capstone Project
Throughout the program, you will put the concepts, models, and tools you have learned into practice through a capstone project centered on a real-world challenge in your field. You will work with industry experts, conduct research and analysis, and develop a solution to your selected problem. Upon completing the program, you will have a professional-quality GitHub portfolio presentation that you can share on LinkedIn or with prospective employers.
Industry Insights
The program provides deeper insights into ML/AI models and their practical applications through real-world industry examples. You will explore new approaches and problem-solving techniques that can be applied to complex ML/AI challenges within your organization.
Peet's Coffee
Discover how Peet's Coffee uses ML to identify the best locations for new stores.
Program Experience
Learn from globally recognized faculty from UC Berkeley Haas
Receive a certificate of completion from Berkeley Executive Education
Explore advanced concepts, including generative AI
Discover how to apply the ML/data science life cycle within your organization
Create a GitHub portfolio to showcase your work to recruiters and prospective employers
Generative AI Applications
Through a dedicated generative AI module, you will explore the technology's fundamentals, capabilities, limitations, and real-world applications. You will learn how to work with generative AI models for business use cases, integrate application programming interfaces into existing platforms, and run small language models and image generators locally. By the end of the module, you will have the skills to apply the latest AI tools to real-world business challenges and navigate the rapidly evolving AI landscape.
What Past Participants Have to Say About the Professional Certificate in ML and AI Program?
Learn From the Faculty of the Professional Certificate in ML and AI Program
GABRIEL GOMES
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...
JOSHUA HUG
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....
Business Experts From UC Berkeley Haas
REED WALKER
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...
JONATHAN KOLSTAD
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...
Credentials and Outcomes: Professional Certificate in ML and AI
Certificate
Get recognized! Upon successful completion of the program, 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.
FAQs
The Program
1. What is the Berkeley Executive Education Professional Certificate in Machine Learning and Artificial Intelligence?
The Professional Certificate in Machine Learning and Artificial Intelligence is a six-month online program from Berkeley Executive Education designed to help professionals build practical machine learning and artificial intelligence skills through applied learning and real-world projects.
The curriculum covers ML, data analytics, deep neural networks, NLP, and generative AI through faculty-led video lectures, coding exercises, practical assignments, and a capstone project.
2. Which topics will I study in the Professional Certificate in Machine Learning and Artificial Intelligence?
Throughout the program, you will build practical skills across the ML life cycle while exploring topics such as:
ML fundamentals
Data analytics
Statistical analysis
Regression and classification models
NLP
Recommendation systems
Deep neural networks
Generative AI
You will also reinforce your learning through coding exercises, practical applications, and a capstone project.
3. Do I need programming experience to enroll in the Professional Certificate in Machine Learning and Artificial Intelligence?
Yes. The Professional Certificate in Machine Learning and Artificial Intelligence program is intended for participants with some programming experience and strong mathematical skills.
Experience with Python, R, or SQL, together with a background in statistics and calculus, is recommended to help you succeed in the program.
4. Which tools and technologies will I use during the program?
Throughout the program, you will work with tools and technologies commonly used in ML and data science, including:
Python
Jupyter
Pandas
Google Colab
Seaborn
Plotly
GitHub
Codio
These tools are integrated into coding exercises, practical assignments, and project work.
5. Does the Professional Certificate in ML and AI program cover generative AI?
Yes. The curriculum includes a dedicated module on generative AI.
You will explore topics such as neural networks, transformers, diffusion models, prompt engineering, content generation, and practical business applications of generative AI technologies.
6. Is the Professional Certificate in Machine Learning and Artificial Intelligence worth it?
The program is designed for professionals who want to develop practical ML/AI skills that can be applied to real-world technical and business challenges.
Through faculty-led instruction, coding exercises, practical assignments, industry examples, and a capstone project, participants will gain hands-on experience in applying ML/AI techniques using industry-relevant tools and frameworks.
7. How do I choose the right AI course?
The right AI course depends on your professional goals, preferred learning approach, and the skills you want to develop. While some programs emphasize theoretical concepts, others focus on practical application.
The Professional Certificate in Machine Learning and Artificial Intelligence from Berkeley Executive Education combines foundational concepts with advanced topics, including generative AI and NLP, alongside hands-on projects. You will also benefit from industry insights, career guidance, and the opportunity to build a portfolio that demonstrates your ML/AI skills.
8. What makes Berkeley Executive Education a strong choice for studying ML/AI?
Berkeley Executive Education develops programs led by forward-thinking faculty who combine academic excellence with practical industry relevance to foster innovation and thought leadership. Participants benefit from the university's globally recognized expertise, including award-winning professors, latest national laboratory research, and its close connection to AI and ML innovation through UC Berkeley Haas’ proximity to Silicon Valley.
Delivered in collaboration with faculty from both engineering and business disciplines, the Professional Certificate in Machine Learning and Artificial Intelligence program combines the technical and strategic aspects of AI through a hands-on learning experience that helps professionals apply ML/AI in meaningful organizational contexts.
The Learning Experience
How long is the Professional Certificate in Machine Learning and Artificial Intelligence?
The program runs for six months in a fully online format.
Participants should expect to dedicate approximately 15 - 20 hours per week to lectures, coding exercises, assignments, discussions, and project work.
How will I spend my time in this program?
You will divide your learning time between viewing recorded coding demos and video lectures; contributing to class discussions; completing assignments, projects, and knowledge checks; and attending optional live sessions with industry experts and program leaders.
How is the program administered? Can the program be accessed at any time?
The program is accessed through the custom learning portal. This portal will give you access to all program-related content, including video lectures, assignments, and discussions. Live office hours will be conducted using a webinar tool.
The video lectures and assignments are accessible weekly throughout the program. In the event you miss a live session, a recording will be made available.
Do I have to attend the live sessions every week?
Faculty lectures are delivered as recorded videos, so you can access them at a time that suits your schedule. While attendance at the optional live sessions is not mandatory, it is strongly recommended. These sessions allow you to engage with industry-experienced program leaders, ask questions, and receive guidance to support your learning. Discussion boards are also an important part of the program, enabling you to collaborate with peers and interact with moderators throughout your learning journey.
Can I download the program videos?
You can download video transcripts, reading materials, assignment templates, and other program resources. However, the faculty video lectures are available for online streaming only and require an internet connection to access.
How can I connect with other participants in the program?
The online learning platform allows you to interact and collaborate with fellow participants throughout the program. You can join groups based on shared interests or geographic location, and use the platform's direct messaging feature to communicate with your peers.
15. What is it like to learn online with the learning collaborator, Emeritus?
More than 350,000 learners across more than 80 countries have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90% of the respondents of a recent survey across all of our programs said that their learning outcomes were met or exceeded.
All of the program content will be made available to students at the commencement of the program. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner, the cost of which is already included in the overall course fee.
A dedicated program support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.
Certification
What are the requirements to earn the certificate?
Each program includes an estimated learner effort per week, so you can gauge what is required before you enroll. This information is referenced at the top of the program landing page under the “Duration” section and in the program brochure, which you can obtain by submitting the short form at the top of this webpage. All programs are designed to fit into your working life.
This program is scored on a pass/no-pass basis. Participants must complete the required activities to pass and earn the certificate of completion. Some programs include a final project submission or other assignments to achieve passing status. This information will be noted in the program brochure. Please contact us at learner.success@emeritus.org if you need further clarification regarding any specific program requirements.
What type of certificate will I receive?
Upon successful completion of the program, you will receive a verified digital certificate. This certificate can be shared with friends, family, schools, or potential employers. You can also include it in your cover letter, résumé, and/or LinkedIn profile.
The digital certificate will be sent approximately two weeks after the program concludes, once grading is complete.
Can I get a hard copy of the certificate?
No. Only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms, including LinkedIn, Facebook, and X.
What is the organizational structure of Berkeley Executive Education?
UC Berkeley Center for Executive Education, doing business as Berkeley Executive Education, is a California nonprofit organization formed for the purpose of operating executive education programs in support of the University of California, Berkeley, and UC Berkeley Haas.
Do I receive alumni status after completing this program?
No. This program does not grant alumni status. In some cases, participants may earn credits that count toward a higher level of certificate. This information will be clearly noted in the program brochure.
How long will I have access to the learning materials?
You will have access to the learning platform and all program materials (excluding videos) for one full year following the program end date. Access to the learning platform is restricted to registered participants in accordance with the terms of agreement.
What is the organizational structure of Berkeley Executive Education?
UC Berkeley Center for Executive Education, DBA Berkeley Executive Education, is a California nonprofit organization formed for the purpose of operating executive education programs in support of University of California, Berkeley, and UC Berkeley Haas.
Technical Requirements
What equipment is needed or the technical requirements for this program?
To successfully complete this course/program online, you must have access to a device meeting the minimum requirements, found here. In addition, Microsoft Office or similar product and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts in all programs. There will be additional software and tools required, such as Anaconda, GitHub, and Zoom. Please check the learning platform on the first day of class.
Do I need to be online to access the program content?
Yes, the learning platform is accessed via the internet and video content is not available for download. You can download files of video transcripts, assignment templates, readings, etc. Video lectures must be streamed via the internet, and webinars and small group sessions will require an internet connection.
Payment Process
What is the program fee for the program, and what forms of payment do you accept?
The program fee is shown at the top of this page, and payment must be made in US dollars only.
Flexible payment options, group enrollment benefits, and referral bonus are available.
Tuition assistance may be available for participants who qualify. Please contact your program advisor to discuss.
What if I don’t have a credit card? Is there another mode of payment accepted?
Yes, you can do the bank remittance in USD via wire transfer. Please contact your program advisor for more details.
Is there an option to make flexible payments for this program?
Yes, flexible payment options are available for this program. We partner with loan providers to offer you flexible and transparent loan options. More information about loan financing is available here. Installment payments are also available — you can find the options here.
Does the program fee include taxes? Are there any additional fees?
Yes, the program fee is inclusive of any taxes with the exception of GST for Singapore residents.
Who will be collecting the payment for the program?
Emeritus collects all program payments, provides learner enrollment and program support, and manages learning platform services.
Are there any restrictions on the types of funding that can be used to pay for the program?
Program fees for Emeritus programs with UC Berkeley Executive Education may not be paid for with (a) funds from the GI Bill, the Post-9/11 Educational Assistance Act of 2008, or similar types of military education funding benefits or (b) Title IV financial aid funds.
Refund Policy
What is the program refund and deferral policy?
For the program refund and deferral policy, please click the link here.
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)