Driving Innovation with Generative AI

Unlock practical, cutting-edge generative AI skills to accelerate progress and propel your career with this 6-week course from MIT xPRO.

Start Date

Start Date

September 29, 2025

Duration

Duration

6 weeks

Price

Price

$2,979

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All the information you need to know plus a detailed week-by-week syllabus

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UNLEASH THE POWER OF GENERATIVE AI

Generative AI is revolutionizing industries, unlocking new potential for creativity, efficiency, and innovation. By mastering the core technologies behind AI, you'll be equipped to enhance productivity, improve customer experiences, generate dynamic content, and drive breakthrough solutions.

In this course, you’ll gain hands-on experience with leading AI tools like DALL-E, Midjourney, ChatGPT, and more, applying them to real-world challenges. You’ll dive deep into the foundations of generative AI, exploring how these tools can be used to create visual and textual outputs, design collaborative agents, and tackle societal and ethical challenges. With guidance from MIT faculty and experts, you’ll be prepared to leverage these technologies to lead innovation in your field and navigate the complexities of this rapidly evolving landscape.

Generative AI Course Video
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AFTER THIS COURSE, YOU WILL BE ABLE TO

Gain a solid understanding of Generative AI and machine learning, focusing on neural networks and the role of data.
Explore the synergy between Generative AI and human creativity, emotion, and expression.
Develop the skills to work with image-generating models, understanding their components and evaluating key factors affecting their performance.

 

Learn to apply Generative AI in coding, design, and chemistry, mastering algorithms for molecular prediction, code generation, and structural design.

 

Analyze the evolution, limitations, and future potential of Large Language Models (LLMs) across various industries.

 

Understand the role of Pro-Human Generative AI in decision-making, addressing biases, and applying best practices in health and societal contexts.

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. 

MIT FACULTY

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

Yoon Kim

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

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

134 Ratings

4 out of 5 stars

WHAT LEARNERS ARE SAYING

Professionals around the globe have taken this course to better navigate the intricate world of generative AI

This course was a game-changer!

This course was a game-changer! It provided clear, practical insights that helped me unlock AI's potential for creative problem-solving and innovation.

Bedanta Saha

Bedanta Saha

Data Scientist

This course was packed with all aspects of Gen AI

This was my first introduction into Gen AI and this course was packed with all aspects of Gen AI. Learning about machine learning, neural networks, frameworks, modeling, creating custom ChatGPTs and more. It was a lot of work, but worth it. I have completed this course with a better understanding of how AI systems are created through the training data sets, and how to apply these systems in the real world.

Shari Bijaczyk

Shari Bijaczyk

TS Digital Solution Engagement Lead/Manager

An excellent foray into the world of innovation and AI

This course is an excellent foray into the world of innovation and AI, developing a unique perspective on both potential and risks associated with AI. Overall, this course and the faculty behind it delivered on the promise to help you develop as a more well rounded AI professional.

Devin Hundt

Devin Hundt

Process Engineer

Learned a lot about different AI tools and their usage

Great course, materials were organized very well. Learned a lot about different AI tools and their usage and also how to design and build Gen AI integrated systems.

Mahnaz Shafii

Mahnaz Shafii

Manager of Software Development

The MIT professors are excellent and the assignments stretch your brain

This course covered the breadth of how Generative AI works, the challenges of making it work, both technological and ethical. It covers the theory of Natural Language Processing, LLMs, for applicability into various disciplines. The MIT professors are excellent and the assignments stretch your brain.

Amit Rele

Amit Rele

Digital Transformation Executive

I cannot emphasize enough the exceptional quality and comprehensive nature of this learning experience

MIT's reputation for academic excellence is clearly reflected in this program's rigorous content and professional delivery. For anyone looking to develop expertise in Generative AI, this course offers an ideal blend of academic depth and practical skill development. It has significantly enhanced my understanding of AI technologies and their applications in today's rapidly evolving technological landscape.

Jason McCormick

Jason McCormick

Chief Operating Officer

Looking forward to putting the new skills into successful action.

An excellent course with the right balance of ideas, and implementation. Looking forward to putting the new skills into successful action.

Matt Gough

Matt Gough

Director of Digital Innovation

RESOURCES

Webinar

Inside MIT xPRO's Generative AI Online Certificate Course

MIT's Antonio Torralba discusses this popular online course and answers your questions live.

Blog

Overcome the Barriers to Generative AI Adoption in the Workplace

Along with generative AI's rapid evolution comes a host of challenges that many organizations and employees aren’t fully prepared to tackle.

Blog

Exploring the Shift from Traditional to Generative AI

Understanding the differences between traditional and generative AI can help today’s professionals better prepare for the new frontier of generative AI.

THE MIT XPRO LEARNING EXPERIENCE

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

LEARN BY DOING

LEARN BY DOING

Practice processes and methods through simulations, assessments, and tools including DALL-E, Midjourney, Leonardo, Runway, ChatGPT 4, Gemini, and Claude 3.5 Sonnet

LEARN FROM OTHERS

LEARN FROM OTHERS

LEARN FROM OTHERS

Connect with an international community of professionals while working on projects based on real-world examples through discussion forums and weekly live webinars

LEARN ON DEMAND

LEARN ON DEMAND

LEARN ON DEMAND

Access all of the content online and watch videos on the go

REFLECT AND APPLY

REFLECT AND APPLY

REFLECT AND APPLY

Bring your new skills to your organization, through examples from technical work environments and ample prompts for reflection

DEMONSTRATE YOUR SUCCESS

DEMONSTRATE YOUR SUCCESS

DEMONSTRATE YOUR SUCCESS

Earn a Professional Certificate and 3 Continuing Education Units (CEUs) from MIT

LEARN FROM THE BEST

LEARN FROM THE BEST

LEARN FROM THE BEST

Gain insights from twelve esteemed MIT faculty and instructors from MIT's Computer Science and Artificial Intelligence Lab (CSAIL) plus weekly live webinars

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.

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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.

Have questions about the course?