Professional Certificate in Machine Learning and Artificial Intelligence

Advance your business problem-solving skills with ML/AI

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Course Dates


June 5, 2024

Course Duration


6 months, online
15–20 hours per week

Course Fee


US$7,900 US$7,031 and get US$790 off with a referral

Course Information Flexible payment available
Course Fee

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Launch Your Career in ML/AI

Machine learning (ML) and artificial intelligence (AI) are transforming the way organizations do business and how consumers live. That's why IT professionals with the specialized knowledge and skills to develop the next generation of ML/AI technology innovations are in immediate demand globally and across industries.

So how can you kick-start your career in this exciting, in-demand field? The Professional Certificate in Machine Learning and Artificial Intelligence from UC Berkeley (ranked the #1 public university by U.S. News & World Report) is built in collaboration with the College of Engineering and the Haas School of Business.

In six months, you will gain foundational as well as advanced knowledge of ML/AI along with insights into the business applications of these technologies from UC Berkeley's world-class faculty. You will gain practical, hands-on experience using cutting-edge ML/AI tools in addition to career guidance to succeed in this fast-paced field. Take the next step in your career by gaining market-ready ML/AI skills with this professional certificate program.


The average salary for an AI/ML engineer in the US in 2022

Source: Glassdoor

97 million

The estimated number of new AI-related jobs between 2022 and 2025

Source: Forbes

$15.7 trillion

AI's projected contribution to the global economy by 2030

Source: Forbes

Who Is This Program For?

This program is designed to provide learners with the essential knowledge and practical applications of ML/AI tools and frameworks needed to transition into an exciting, high-demand career in this field. This program is for anyone with a technology or math background, including:

  • IT and engineering professionals who want to unlock new opportunities for career growth or chart a cutting-edge career path
  • Data and business analysts who want to gain better growth trajectories
  • Recent science, technology, engineering, and mathematics (STEM) graduates and academics who want to enter the private sector and scale the positive impact of evolving technologies

Applicants must have:

  • A bachelor's degree or higher
  • Strong math skills
  • Some programming experience

Also recommended:

  • An educational background in STEM fields
  • Technical work experience
  • Some experience with Python,R, or SQL
  • Some experience with statistics and calculus

Key Takeaways

  • 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 own organization.
  • Interact and collaborate with industry experts to understand the technical and business applications of ML/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.

Program Topics

This program is organized into three main sections:

Section 1: Foundations of ML/AI
Your learning journey will commence with exploring the basic concepts, and industry-standard notations in ML/AI and exploring the real-world contexts for the data science lifecycle. It then progresses to drawing business conclusions from data sets and visualizations.

Module 1: Introduction to Machine Learning

Module 2: Fundamentals of Machine Learning

Module 3: Introduction to Data Analysis

Module 4: Fundamentals of Data Analysis

Module 5: Practical Applications I

Section 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: Clustering and Principal Component Analysis

Module 7: Linear and Multiple Regression

Module 8: Feature Engineering and Overfitting

Module 9: Model Selection and Regularization

Module 10: Time Series Analysis and Forecasting

Module 11: Practical Applications II

Module 12: Classification and k-Nearest Neighbors

Module 13: Logistic Regression

Module 14: Decision Trees

Module 15: Gradient Descent and Optimization

Module 16: Support Vector Machines

Module 17: Practical Applications III

Section 3: Advanced Topics and Capstone
In the final section, you will gain a deeper understanding of advanced ML/AI concepts, such as Natural Language Processing and Deep Neural Networks. You will also conduct research and analysis to complete your capstone project in ML/AI.

Module 18: Natural Language Processing

Module 19: Recommendation Systems

Module 20: Capstone I

Module 21: Ensemble Techniques (GBM, XGB, and Random Forest)

Module 22: Deep Neural Networks I

Module 23: Deep Neural Networks II

Module 24: Capstone II

Capstone Project

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.

Program Experience

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Learn from UC Berkeley's globally recognized faculty

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Earn a certificate of completion from UC Berkeley Executive Education

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Learn how to implement the ML/data science lifecycle within your own organization

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Build a GitHub portfolio to share with recruiters and potential employers

Tools and Resources in the Program

Over the course of this program, you will gain hands-on coding experience with Python, Jupyter, pandas, Seaborn, Plotly, and GitHub.

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Program Faculty from Berkeley Engineering

Faculty Member Gabriel Gomes

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 degree in automatic control theory in 2004 from UC Berkeley... More info

Faculty Member Joshua Hug

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. He received his Ph.D. in 2011 from UC Berkeley, with research focused on computational models of bacterial signal processing and decision making... More info

Business Experts from Berkeley Haas

Faculty Member Reed Walker

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 as air pollution, and how regulations to limit these externalities contribute to gains and/or losses to the economy. He is the faculty codirector of the UC Berkeley Opportunity Lab’s Climate and Environment Initiative. He is also a research associate at the Energy Institute at Berkeley, a faculty research fellow at the National Bureau of Economic Research, and a research fellow at IZA. He received his Ph.D. in economics from Columbia University.

Faculty Member Jonathan Kolstad

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 the codirector of the Health Initiative at the UC Berkeley Opportunity Lab. He is an economist whose research interests lie at the intersection of health economics, industrial organization, and public economics. He is particularly interested in finding new models and unique data that can account for the complexity of markets in health care, notably the role of information asymmetries and incentives. He is also a cofounder and was chief data scientist at Picwell. He received his Ph.D. from Harvard University and B.A. from Stanford University.

Career Preparation and Guidance

Transitioning to a career in ML/AI engineering requires a variety of hard and soft skills. This program guides you as you navigate your journey to your new career path, including crafting an elevator pitch and communication tips. These services are provided by Emeritus, our learning collaborator for this program. The program support team includes program facilitators who will help you reach your learning goals and career coaches to guide you through your job search. Our primary goal is to give you the skills needed to be prepared for a job in this field; however, job placement is not guaranteed.

Emeritus provides the following career preparation services:

  • Crafting your elevator pitch
  • Navigating your job search
  • LinkedIn profile guidance
  • Interview tips and preparation
  • Resume/cover letters
  • Negotiating salary

Career exercises focused on launching a career in ML/AI:

  • Job search and interviewing for ML/AI positions
  • Communicating ML/AI concepts through presentation skills

Path to Alumni Benefits

Enrolling in the Professional Certificate in Machine Learning and Artificial Intelligence program can become your first step toward pursuing the UC Berkeley Executive Education Certificate of Business Excellence (COBE). The Certificate of Business Excellence gives individuals the opportunity to acquire and hone new skills and do it on a timeline that works with your busy schedule. Participants will earn a mark of distinction with certification from a world-class university, and enjoy the flexibility of completing the program in up to three years.
Learn more about the program and associated alumni benefits here.

Networking and events

  • Join local alumni chapters or clubs in your region
  • Participate in the annual Berkeley Haas Alumni Conference
  • Attend select Berkeley Haas and Berkeley Executive Education Networking events open to the COBE community

Exclusive Berkeley Resources

  • Activate an email forwarding address
  • 15% discount on the list price of future eligible Berkeley Executive Education programs.
  • 30% discount on the list price of future eligible programs after completion of your Certificate of Business Excellence.
  • Public visitor access to select campus libraries and university database services

News and communication

  • A one year complimentary digital subscription to California Management Review
  • Berkeley Haas Alumni newsletter
  • Berkeley Haas Alumni Jobs e-Newsletter featuring job postings from distinguished employers
  • Haas Insights offering the latest research and thought leadership from industry speakers and faculty

Note: All benefits subject to change.


Example image of certificate that will be awarded after successful completion of this program


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.

Download Brochure

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.


  • How do I know whether this program is right for me?

    After reviewing the information on the program landing page, we recommend you submit the short form above to gain access to the program brochure, which includes more in-depth information. If you still have questions on whether this program is a good fit for you, please email, and a dedicated program advisor will follow up with you very shortly.

    Are there any prerequisites for this program?

    Some programs do have prerequisites, particularly the more technical ones. This information will be noted on the program landing page and in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at for assistance.

    What are the requirements to earn a certificate?

    This is a graded program. You must complete a combination of individual assignments, quizzes, and a final project. Each component carries a certain number of points, and a cumulative score of 75 percent is required to pass and obtain your professional certificate.

    Will I be guaranteed a job upon completion of the program?

    The primary objective of this program is to give you the skills you need to be prepared for a job in this field. While eligible participants will receive career coaching and support and may receive introductions to our hiring partners, job placement is not guaranteed.

  • How much time will I be expected to devote to this program?

    Each program includes an estimated learner effort per week. This 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 web page.

    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 any time?

    The program is accessed through the custom learning portal. This portal will give you access to all program-related content such as 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 these 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 coding experience of our industry-experienced program leaders to answer your questions and help 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, etc. 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.

    What is it like to learn online with the learning collaborator, Emeritus?

    More than 300,000 learners across 200 countries have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded.

    All the contents of the course would be made available to students at the commencement of the course. 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 of the course.

    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.

  • 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 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 web page. All programs are designed to fit into your working life.

    This program is scored as a pass or no-pass; participants must complete the required activities to pass and obtain the certificate of completion. Some programs include a final project submission or other assignments to obtain passing status. This information will be noted in the program brochure. Please contact us at if you need further clarification of any specific program requirements.

    What type of certificate will I receive?

    Upon successful completion of the program, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, résumé, and/or display it on your LinkedIn profile.

    The digital certificate will be sent approximately two weeks after the program, once grading is complete.

    Can I get the 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 such as LinkedIn, Facebook, and Twitter.

    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 UC Berkeley and the Haas School of Business.

    Do I receive alumni status after completing this program?

    No, there is no alumni status granted for this program. In some cases, there are credits that count toward a higher level of certification. 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 (videos excluded) for one full year following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement.

  • What equipment is needed or the technical requirements for this program?

    To successfully complete this course/program(me) 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.

  • 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.

  • 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 or Schedule a call with one of our Academic Advisors or call us at +1 315 904 9320 (U.S.) +44 131 381 6127 (U.K.) +65 3138 9495 (Singapore)

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