Professional Certificate in Machine Learning and Artificial Intelligence
- Trusted by over 2,100 professionals
- Learn through hands-on ML/AI projects
- Gain experience with industry-standard ML/AI tools
- Build a professional GitHub portfolio
Professional Certificate in ML and AI: Advance Your Business Problem-Solving Skills With ML/AI
Developed in collaboration with UC Berkeley’s College of Engineering and Haas School of Business, this six-month program combines rigorous foundations in ML/AI, data analytics, deep neural networks, NLP, and GenAI with hands-on training on cutting-edge tools and platforms. You will also gain industry insights, career guidance, and market-ready practical skills to drive AI adoption and accelerate your career in this competitive landscape.
$15.7 tn
33%
97 mn
Who Is the Professional Certificate in ML and AI Program For?
Role | Benefit |
IT, software, and engineering professionals | Build practical ML and AI skills, and gain hands-on experience with ML/AI tools, models, and applications. |
Data and business analysts | Apply ML techniques to data analysis, forecasting, automation, and decision making |
STEM graduates and academics | Develop applied ML/AI skills, and gain experience with industry-relevant tools, techniques, and projects. |
What Will You Learn in the Professional Certificate in ML and AI?
Key Takeaways
ML/AI foundations: Develop a comprehensive understanding of ML/AI concepts, and identify the best ML models to fit various business situations.
ML life cycle: Learn how to implement the ML/data science life cycle, and devise cutting-edge solutions to real-life problems within your organization.
Industry applications: Interact and collaborate with industry experts to understand the technical and business applications of ML/AI.
Generative AI analysis: Analyze generative AI models, including ChatGPT, and test their efficacy.
Generative AI use cases: Explore innovative business applications for generative AI technologies.
GitHub portfolio: Develop a market-ready GitHub portfolio to showcase your ML/AI skills and project work to prospective employers.
How Is the Berkeley Executive Education Professional Certificate in ML and AI Curriculum Structured?
The program combines recorded faculty lectures, hands-on coding activities, practical applications, discussions, quizzes, and a capstone project to help you develop and apply ML and AI skills in real-world contexts.
Part 1: Foundations of ML/AI
Your learning journey will commence with exploring the basic concepts of ML/AI, industry-standard notations, and real-world contexts for the data science life cycle. It will then progress to drawing business conclusions from data sets and visualizations.
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
In this section, you will gain hands-on experience with coding in Python to create k-means algorithms and apply functions. You will also learn how to predict outcomes using multiple linear regression models, create visual decision trees, and interpret various kinds 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
In this section, you will gain a deeper understanding of advanced ML/Al concepts, including NLP, deep neural networks, and generative AI. You will also develop a professional GitHub portfolio showcasing 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
In this final part of the curriculum, you will gain a clear understanding of how generative AI works and how to explore its practical applications. You will apply your learning through an independent capstone project that addresses a real-world ML/AI challenge and present your findings and portfolio on GitHub to demonstrate your readiness for applied ML/AI roles.
Module 23: Introduction to Generative AI
Module 24: Capstone Project
How Does the Professional Certificate in ML and AI Use Applied Learning?
The Professional Certificate in Machine Learning and Artificial Intelligence combines hands-on learning, industry engagement, and practical projects to help you apply ML/AI concepts in real-world contexts. Through interactive learning experiences, coding exercises, live sessions, industry insights, and a capstone project, you build practical skills while exploring machine learning and artificial intelligence applications.
Capstone Project
Throughout the program, you will apply the concepts, models, and tools to a capstone project focused on a real-world challenge in your field. You will have the opportunity to interact with industry experts, conduct research and analysis, and develop a solution to your chosen problem. By the end of the program, you will create a professional-quality GitHub portfolio presentation that can be shared on LinkedIn or with prospective employers.
Industry Insights
Through real-world industry examples, you will gain a deeper understanding of ML/Al models and applications and 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.
Program Experience
Learn from UC Berkeley Haas globally recognized faculty.
Earn a certificate of completion from Berkeley Executive Education.
Explore advanced topics such as generative AI.
Learn how to implement the ML/data science life cycle within your own organization.
Build a GitHub portfolio to share with recruiters and potential employers.
Generative AI Applications
You will learn to apply generative AI through a dedicated module focused on its fundamentals, including the limitations and potential of this technology for real-world applications. The module covers how to use generative AI models for innovative business use cases, integrate application programming interfaces (APIs) into current platforms, and run small image generators or language models locally. By the end of the module, you will be equipped with the skills to use cutting-edge AI tools, apply them in a rapidly evolving AI landscape, and solve real-world business challenges.
What Do Past Participants Say About the Professional Certificate in ML and AI Program?
Meet the Faculty for 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 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, 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.
FAQs
The Program
1. What is the 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 that helps professionals develop practical AI and machine learning skills through hands-on learning and real-world applications.
The program covers ML, data analytics, deep neural networks, NLP, and generative AI through recorded faculty lectures, coding activities, practical assignments, and a capstone project.
2. What will I learn in the Professional Certificate in Machine Learning and Artificial Intelligence?
You will develop practical skills across the ML life cycle and explore topics such as:
ML fundamentals
Data analytics
Statistical analysis
Regression and classification models
NLP
Recommendation systems
Deep neural networks
Generative AI
The program also includes practical applications, coding exercises, and a capstone project.
3. Does the Professional Certificate in Machine Learning and Artificial Intelligence require programming experience?
Yes. Participants should have some programming experience and strong mathematical skills.
Experience with Python, R, or SQL, as well as familiarity with statistics and calculus, is also recommended to support success in the program.
4. What tools will I use during the program?
You will gain hands-on experience with tools and technologies commonly used in ML and data science, including:
Python
Jupyter
Pandas
Google Colab
Seaborn
Plotly
GitHub
Codio
These tools are used throughout coding activities, practical applications, and project work.
5. Will I learn about generative AI?
Yes. The program curriculum includes a dedicated module on generative AI.
You will explore topics such as neural networks, transformers, diffusion models, prompt design, content generation, and business applications of generative AI technologies.
6. Is the Professional Certificate in Machine Learning and Artificial Intelligence worth it?
The program is well-suited for professionals seeking practical ML and AI skills that can be applied to real-world technical and business challenges.
Through faculty-led instruction, hands-on coding activities, practical applications, industry examples, and a capstone project, participants gain experience applying ML/AI techniques using industry-relevant tools and frameworks.
7. Which is the best AI course?
The best AI course depends on your career goals, learning preferences, and the outcomes you want to achieve. Some courses emphasize theory while others focus on applied learning. The Professional Certificate in Machine Learning and Artificial Intelligence from Berkeley Executive Education combines foundational concepts, advanced topics, including generative AI and NLPs, and hands-on projects. It also offers exposure to industry experts and career guidance, making it a strong option if you want to apply AI/ML to real-world problems and build a portfolio to showcase your skills.
8. Why Choose Berkeley Executive Education for the Professional Certificate in Machine Learning and Artificial Intelligence?
Berkeley Executive Education delivers programs designed by forward-thinking faculty who bridge academic rigor with real-world impact and help drive innovation and thought leadership. Participants will gain access to the university’s globally recognized expertise, including award-winning professors, cutting-edge research from national laboratories, and a front-row seat to AI and ML innovation through the university’s proximity to Silicon Valley.
Through a hands-on learning environment that integrates the technical and strategic dimensions of AI, this program is taught by leading faculty from both engineering and business disciplines. It empowers professionals to apply AI in meaningful ways that drive organizational value.
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 need to attend live sessions every week?
Faculty video lectures are recorded, allowing you to watch them on your own schedule. However, participation in optional live sessions and discussion boards is highly encouraged. Live sessions will give you the opportunity to draw on the expertise of our industry-experienced program leaders who will answer your questions and help you reach your learning goals. The discussion boards are also an integral part of the learning experience, giving you and your peers the opportunity to learn together and receive guidance from the moderators.
Can I download the program videos?
You can download video transcripts, assignment templates, readings, and other program materials. However, the video lectures are only available for streaming and require an internet connection.
How do I interact with other program participants?
You can communicate with other participants through our learning platform. You will be able to form groups based on your interests and location. A direct messaging feature is also available through the platform.
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.
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)
Flexible payment options are available.
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