Professional Certificate in Machine Learning and Artificial Intelligence

Berkeley Haas School of Business

Entrepreneurship and Innovation

About Programme

The Professional Certificate in Machine Learning and Artificial Intelligence by UC Berkeley Executive Education is designed to build job-ready capabilities through hands-on, applied learning. Developed with academic and industry expertise, the program focuses on solving real-world technical and business challenges using modern machine learning (ML), AI, and generative AI (gen AI) tools.

You will gain practical experience across the ML/AI lifecycle, work on applied projects, and develop skills that translate directly to workplace contexts. By the end of the program, you will be prepared to lead AI-driven roles and advance your career in this rapidly evolving field.

Programme Content

This program guides you as you navigate your journey to your new career path, including crafting an elevator pitch and communication tips

You will come away with a professional-quality GitHub portfolio presentation that you can share on your LinkedIn profile or with potential employers

Enrolling in the program can become your first step toward pursuing the UC Berkeley Executive Education Certificate of Business Excellence (COBE)

World-renowned faculty and notable guest speakers

This program fulfills four curriculum days (minimum requirement of 17 curriculum days) towards the COBE

Upon completion of the program get awarded the Certificate of Completion from UC Berkeley Executive Education

Programme Audience

IT and engineering professionals seeking to advance their careers in AI-driven industries

Data and business analysts looking to expand their expertise and unlock new growth opportunities

STEM graduates and academics aiming to transition into industry and apply emerging technologies at scale

Programme Benefits

Master ML and AI Fundamentals

Develop a strong understanding of core ML/AI concepts, and learn how to select appropriate models for different business challenges.

Apply the ML Lifecycle

Implement the end-to-end ML and data science lifecycle to address real-world organizational problems and opportunities.

Collaborate with Industry Experts

Engage with practitioners and mentors to gain insights into the technical, strategic, and business applications of ML and AI.

Evaluate and Leverage Gen AI

Analyze gen AI models such as ChatGPT, and explore innovative ways to apply them across business functions and use cases.

Build a Professional AI Portfolio

Create a market-ready GitHub portfolio that showcases your projects and practical skills.

Testimonials

"From knowing nothing about how MLAI 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-paced and effective learning."

Anonymous

Jyoti Garg, Senior Software Engineer, Netflix

"I have taken other classes in person and online, and nothing matches the level of the Professional Certificate in Machine Learning and Artificial Intelligence program. I am really happy I enrolled and would love to hear if there is a follow-up to it."

Anonymous

Juan Gomez, Director Analytics, TIAA SE, Amazon Web Services (AWS)

"The Professional Certificate in Machine Learning and Artificial Intelligence program offered excellent professional development, progressing effectively from foundational concepts to advanced topics. The Codio exercises and live sessions were highly valuable."

Anonymous

Deep Joshi, Staff Data Engineer, Google LLC

"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."

Anonymous

James O'Donnell, 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 (SGD). These topics deepened my understanding of the optimization process, which is part of almost all ML libraries. While I have not used these algorithms directly, I now appreciate things a bit better than what I would have understood without knowing about GD and SGD. This has generated a lot of interest in me to find new optimization techniques."

Anonymous

Pravin M Powale, Senior Technical Director, HarmonyTech

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

Anonymous

Krishna Singaraju, Director Analytics, TIAA

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

Anonymous

Denali Carpenter, Data Scientist, Inteleos

"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."

Anonymous

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."

Anonymous

Vinay Jain, Software Architect, Morningview Technologies

Testimonial Source

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Contact us for the further details

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Pedagogy (case method, experiential learning, coaching, simulations)
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Prashansa Uttam

Programme Advisor

+91 9403890085[email protected]Mon – Fri, 9am – 5pm IST

Berkeley Haas School of Business

Executive Education Office

https://haas.berkeley.edu

Berkeley, USA

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