Professional Certificate in Machine Learning and Artificial Intelligence

Gain cutting-edge ML/AI skills and accelerate your career in this 6-month online program.

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Course Dates


May 30, 2023

Course Duration


6 months, online
15–20 hours per week

Course Fee


US$7,500 US$6,375 or get US$750 off with a referral

Course Information Flexible payment available
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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 university in the world by Forbes magazine) 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.

Decorative image depicting the tool and platforms used
Decorative image depicting the tool and platforms used

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


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 if 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, as well as in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at the ID mentioned above.

    Note that, unless otherwise stated on the program web page, all programs are taught in English and proficiency in English is required.

    What is the typical class profile?

    More than 50 percent of our participants are from outside the United States. Class profiles vary from one cohort to the next, but, generally, our online certificates draw a highly diverse audience in terms of professional experience, industry, and geography — leading to a very rich peer learning and networking experience.

    What other dates will this program be offered in the future?

    Check back to this program web page or email us to inquire if future program dates or the timeline for future offerings have been confirmed yet.

  • How much time is required each week?

    Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page.

    How will my time be spent?

    We have designed this program to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities including:

    • Engaging with recorded video lectures from faculty
    • Attending webinars and office hours, as per the specific program schedule
    • Reading or engaging with examples of core topics
    • Completing knowledge checks/quizzes and required activities
    • Engaging in moderated discussion groups with your peers
    • Completing your final project, if required

    The program is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please email us if you need further clarification on program activities.

    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.

    How do I interact with other program participants?

    Peer learning adds substantially to the overall learning experience and is an important part of the program. You can connect and communicate with other participants through our learning platform.

  • What are the requirements to earn the certificate?

    Each program includes an estimated learner effort per week, so you can gauge what will be required before you enroll. This is referenced at the top of the program landing page under the Duration section, as well as 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 email us if you need further clarification on 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, resume, 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.

    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 online learning platform and all the videos and program materials for 12 months following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement.

  • What equipment or technical requirements are there for this program?

    Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.

    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. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access program content from a desktop, laptop, tablet, or mobile device.

    Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you may view them later.

  • Can I still register if the registration deadline has passed?

    Yes, you can register up until seven days past the published start date of the program without missing any of the core program material or learnings.

    What is the program fee, and what forms of payment do you accept?

    The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.

    • Flexible payment options are available (see details below as well as at the top of this program web page next to FEE).
    • Tuition assistance is available for participants who qualify. Please email

    What if I don’t have a credit card? Is there another method of payment accepted?

    Yes, you can do the bank remittance in the program currency via wire transfer or debit card. Please contact your program advisor, or email us for details.

    I was not able to use the discount code provided. Can you help?

    Yes! Please email us with the details of the program you are interested in, and we will assist you.

    How can I obtain an invoice for payment?

    Please email us your invoicing requirements and the specific program you’re interested in enrolling in.

    Is there an option to make flexible payments for this program?

    Yes, the flexible payment option allows a participant to pay the program fee in installments. This option is made available on the payment page and should be selected before submitting the payment.

    How can I obtain a W9 form?

    Please connect with us via email for assistance.

  • Time of Refund Request

    • Within 21 days after course commencement
    • 22 to 45 days after course commencement
    • More than 45 days after course commencement

    Amount Refunded

    • Full refund of course fee (assuming no prior course deferral)
    • 50% of course fee (assuming no prior course deferral)
    • No refund of course fee
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