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Course Date



Course Duration


2 weeks, online
4-6 hours per week

Course Fee

Learn from MIT Faculty and Earn a Certificate from Emeritus

Brian Subirana

Director, MIT Auto-ID lab; Director, MIT and Accenture Convergence Initiative for Industry and Technology

Brian Subirana has taught at MIT Sloan and the MIT School of Engineering and he is also on the faculty of Harvard University. His research centers on IoT and AI, and focuses on manufacturing, e-learning, the creative industries, and digital health... More info

Duane S. Boning

Clarence J. Lebel Professor, Electrical Engineering and Computer Science

Duane Boning is affiliated with the MIT Microsystems Technology Laboratories and serves as Associate Director for Computation and CAD (computer-aided design). He is also the Engineering Faculty Co-Director of the MIT Leaders for Global Operations program... More info

Garner In-Demand Skills

By the end of two weeks, you’ll be able to:

  • Identify which AI or machine learning technology to use to solve your organization’s business problem.
  • Use the AI design process model to scope and evaluate an AI product.
  • Evaluate an AI product development plan.
  • Implement the appropriate machine learning algorithm for a given business scenario.

Ready to Enroll? Sign Up by June 08, 2022.


Gain Insider Perspectives from Industry Expert Guest Speakers

Learn from the speakers who will bring their real-world insights to the course experience.
Faculty Member Alex Urcola

Alex Urcola

Principal Data Analytics Consultant at Google

I am a principal data analytics consultant at Google and a higher education professor at Instituto de Empresa (international MBA and executive MBA). My goal at Google is to use data to gain efficiency in digital marketing campaigns. I am passionate about big data, digital marketing, machine learning, data science, and artificial intelligence. Join me as we explore how AI and machine learning can address real-world business problems.

This program provides a great opportunity to get an understanding of Machine Learning in a short period of time. Through real cases and examples, including airline and retail industry cases, you will understand what kind of business decisions can be made thanks to machine learning and what are some of the common challenges that can make a Machine Learning project fail.

Dive Deeper into the Curriculum

Curious about what you’ll learn in each module? Download the full course info here.

Learn alongside Industry Leaders

You’ll learn with a cohort of peers at the top of their fields. Employees from:
Google, Tesla, Deloitte, Intel, Amazon, Amex, Bloomberg, Oracle, BMW, Ford, Shell, Walgreens, Netflix, Unilever, Accenture, Ernst & Young, Johnson & Johnson, Pfizer
have taken our programs.

Get the Emeritus Experience

Leverages research, videos, and content from MIT xPRO

Develop your global network through peer discussions

Apply skills to real-world scenarios

Attend live sessions with expert guest speakers

Free One-Year Access to Emeritus Insights

Join this course and get free one-year access (worth $99) to Emeritus Insights, our upskilling platform with a library of 5000+ bite-sized lessons in leadership, marketing, negotiation, career planning, and more. Learn from best-selling books and exclusive lessons from top universities, faculty, and experts.

Ready to Enroll? Sign Up by June 08, 2022.


Earn a Certificate

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

Earn a Certificate

Get recognized! Upon successful completion of this program, you’ll receive a certificate from Emeritus.

Note: This online certificate program does not grant academic credit or a degree from MIT xPRO.

Apply Now

Early registrations are encouraged. Seats fill up quickly!