Professional Certificate in Machine Learning and Artificial Intelligence

Advance your business problem-solving skills with ML/AI

Who Is This Program For?

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:

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

Hear From Our Participants

From knowing nothing about how ML/AI works to being able to build models in about six months, I felt the material was really effective. The transition and journey of the program were designed for fast...

Jyoti Garg

Senior Software Engineer,

Netflix

The best part of this program was the variety of materials used to assist students. Quick reference guides, video transcripts, Codio answers, and lecture notebooks greatly assisted with self-study.

Karin Huegele

Consultant Principal, Kaiser Permanente

The program covered most of the aspects of AI and ML. It created a base to learn in depth. I learned and educated myself so I can be competitive.

Farrukh Khan

Technical Program Manager, Google

The best parts of the program were the cutting-edge lessons and practical exercises. The hands-on examples made the material so much more approachable and understandable.

James ODonnell

Product Design Prototyper, Meta

The whole program scored very high from my viewpoint. However, if I had to identify one area that really stood out, it would be the sessions on gradient descent (GD) and stochastic gradient descent (S...

Pravin M Powale

Senior Technical Director, HarmonyTech

I think the best parts of this program were the practical assignments and the capstone project. I really liked the video lectures too.

Denali Carpenter

Data Scientist, Inteleos

The program was very hands-on, with all the lively discussions helping me get my questions answered. I am quite satisfied with the program.

Krishna Singaraju

Director Analytics, TIAA

The homework and the examples provided a lot of good material for things that I can practically use on the job when working with models.

George Li

Senior Lead Software Engineer I, Best Egg

The best part of the program was the detailing of topics, including theoretical concepts, mathematical principles, real-world applications, and most importantly, hands-on development using Python.

Vinay Jain

Software Architect, Morningview Technologies

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 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

Program Topics

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.

1Section 1: Foundations of Machine learning (ML) and Artificial Intelligence (AI)

2Section 2: ML/AI Techniques

3 Section 3: Advanced Topics and Capstone

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.

Tools and Resources in the Program

Over the course of this program, you will gain hands-on coding experience using the following tools:

Python
Jupyter
Pandas
Google Colab

Seaborn
Plotly
GitHub
Codio

Program Faculty from Berkeley Engineering

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...

Program Experience

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

Explore the Potential of Generative AI

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.

Industry Insights

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.

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 @haas.executivealumni.berkeley.edu 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 are subject to change. The discounts mentioned may not be combined with other promotions or special offers.

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

1The Program

2The Learning Experience

3Certification

4Technical Requirements

5Payment Process

6Refund Policy

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)

Early registrations are encouraged. Seats fill up quickly!

Flexible payment options are available.

Starts On

APPLY NOW