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Driving Innovation with Generative AI

Explore the generative AI landscape and the future of productivity with this 6-week course from MIT xPRO.

GET UPDATES PLUS YOUR COURSE SCHEDULE

Receive updates about this online course and download the week-by-week schedule.

By providing your information, you are agreeing to receive periodic information about online programs from MIT related to the content of this course.

Unleash the Power of Generative AI

Generative AI represents a seismic shift in the way we approach creative tasks. A comprehensive understanding of these technologies enables organizations to leverage the power of the technology to increase productivity, improve customer service, enhance user experiences, develop content, create synthetic data, enable new discoveries, and so much more!

Become an essential part of your organization’s generative AI journey. Develop an essential understanding of generative AI’s key technologies and how they may be used in various applications.

Generative AI is creating cutting-edge solutions that will revolutionize industries and empower businesses to thrive in the digital age. This course will leverage industry case studies, hands-on work with generative AI tools, and the latest thinking from MIT to equip you with the knowledge and skills necessary to navigate the intricate world of generative AI.

Topics that will be covered include:

  • Generative AI and the AI Landscape
  • Generative AI Foundations: Visual Data and Image Outputs
  • Generative AI Foundations: Textual Data and Text Outputs 
  • Other Types of Data and Applications They Enable 
  • Generative AI for Creativity Expression and Design of Collaborative Agents
  • Strategy and Societal Implications of Generative AI (Policy, Ethics, and Human Augmented Work)

 

ENROLL NOW

After This course, You Will Be Able To

MIT FACULTY & INSTRUCTORS

Antonio Torralba

Antonio Torralba

Delta Electronics Professor of Electrical Engineering and Computer Science and Head of the AI+D faculty in the Electrical Engineering and Computer department, MIT

Daniela Rus

Daniela Rus

Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science; Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL); and Deputy Dean of Research for Schwarzman College of Computing, MIT

YoonKim

Yoon Kim

Assistant Professor, Electrical Engineering and Computer Science, MIT

Regina Barzilay

Regina Barzilay

Professor, Department of Electrical Engineering and Computer Science; Faculty Co-Lead, MIT Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic), MIT

Armando Solar-Lezama

Armando Solar-Lezama

Professor, Associate Director and COO of CSAIL, MIT

Cynthia Breazeal

Cynthia Breazeal

Professor Media Arts and Sciences, Media Lab; and Dean for Digital Learning, Open Learning, MIT

Zach Lieberman

Zach Lieberman

Adjunct Associate Professor of Media Arts and Sciences, MIT

Pattie Maes

Pattie Maes

Professor of Media Arts and Sciences, MIT

Asu Ozdaglar

Asu Ozdaglar

MathWorks Professor of Electrical Engineering and Computer Science Department Head, Electrical Engineering and Computer Science & Deputy Dean of Academics, Schwarzman College of Computing, MIT

Wojciech Matusik

Wojciech Matusik

Professor of Electrical Engineering and Computer Science at the Computer Science and Artificial Intelligence Laboratory at MIT

Dylan Hadfield-Menell

Dylan Hadfield-Menell

Bonnie and Marty (1964) Tenenbaum Career Development Assistant Professor of Electrical Engineering and Computer Science, Massachusetts Institute of Technology

Marzyeh Ghassemi

Marzyeh Ghassemi

Assistant Professor in Electrical Engineering and Computer Science, MIT

Phillip Isola

Phillip Isola

Associate Professor in MIT's Department of Electrical Engineering and Computer Science

WHO SHOULD ENROLL

Engineers working as Product Managers, Web Application Developers/Managers, Software Service (SaaS) professionals, UX/UI Designers, Solutions Architects


Technical professionals looking to understand the potential of generative AI in their careers in various fields


No prior background in analytics, computer science, coding, or machine learning is required. 

The MIT xPRO Learning Experience

We bring together an innovative pedagogy paired with world-class faculty.

Justify Your Professional Development

Many companies offer professional development benefits to their employees but sometimes starting the conversation is the hardest part of the process.

Use these talking points, stats, and an email template to advocate for your professional development through MIT xPRO's Driving Innovation with Generative AI online professional certificate course.

GET MY GUIDE

Propel Your Career On Your Terms

Technology is accelerating at an unprecedented pace causing disruption across all levels of business. Tomorrow’s leaders must demonstrate technical expertise as well as leadership acumen in order to maintain a technical edge over the competition while driving innovation in an ever-changing environment.

MIT uniquely understands this challenge and how to solve it with decades of experience developing technical professionals. MIT xPRO’s online learning programs leverage vetted content from world-renowned experts to make learning accessible anytime, anywhere. Designed using cutting-edge research in the neuroscience of learning, MIT xPRO programs are application focused, helping professionals build their skills on the job.

Embrace change. Enhance your skill set. Keep learning. MIT xPRO is with you each step of the way.

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