Carnegie Mellon University

CMU Online Graduate Certificate
Generative AI and Large Language Models

This is not your average AI online certificate.

Rigorous coursework at CMU's School of Computer Science equips you to implement and scale generative AI solutions - guided by the same experts advancing the field. 

We are #1 in AI for a reason. Are you ready?

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Get details about the curriculum, course format, and tuition by submitting the form below.


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Key Program Features

Taught Live-Online by CMU Faculty in CMU’s School of Computer Science, ranked #1 in the nation for AI and computer science graduate programs and programming languages courses.

 

Designed for Working Professionals with weekly, live-online sessions in the evening (ET) and asynchronous coursework you can finish on your own time, at your own pace. 

 

Engaging Educational Experiences that go beyond recorded lectures. Active learning sessions will help you master key concepts so you can immediately apply them at work.

 

Consistently ranked among top AI programs. CMU is ranked #1 in the Nation for AI graduate programs, programming languages courses, and computer science graduate programs. 

 

 

Program Highlights

Delivered 100% online

Taught by expert CMU faculty

3 graduate-level courses

12 months to complete

36 units total (~12 credits)

Start in Fall or Spring

Monthly payment plans

G.I. Bill eligible program

World Class Faculty from CMU's School of Computer Science

Dr. Carolyn Rose

Dr. Carolyn Rosé

Professor of Language Technologies and Human-Computer Interaction

Education: Ph.D., Carnegie Mellon University 

Dr. Daphne Ippolito

Dr. Daphne Ippolito

Assistant Professor of Language Technologies

Education: Ph.D., University of Pennsylvania 

Dr. Lei Li

Dr. Lei Li

Assistant Professor of Language Technologies

Education: Ph.D., Carnegie Mellon University 

louis-philippe-morency.jpg

Dr. Louis-Philippe Morency

Associate Professor of Computer Science

Education: Ph.D., Massachusetts Institute of Technology 

Dr. Yonatan Bisk

Dr. Yonatan Bisk

Assistant Professor of Language Technologies

Education: Ph.D., University of Illinois at Urbana-Champaign 

Dr. Daniel Fried

Dr. Daniel Fried

Assistant Professor of Language Technologies

Education: Ph.D., UC Berkeley 

Dr. Graham Neubig

Dr. Graham Neubig

Associate Professor of Language Technologies and Machine Learning

Education: Ph.D., Kyoto University 

Built for Your Busy Life. Designed to Make an Impact.

CMU’s Generative AI & Large Language Models certificate, taught by world-renowned faculty in the School of Computer Science, equips professionals to master the tools and techniques transforming today's AI landscape. This program combines CMU's academic rigor with the flexibility working professionals need to develop cutting-edge skills that are in demand across industries.

When you enroll in our certificate, you can expect:

  • Evening, live-online sessions taught by expert faculty in CMU's School of Computer Science who are advancing the field of generative AI
  • Self-paced assignments that deepen your understanding of LLMs and their real-world applications 
  • Real-time collaboration with peers tackling similar challenges in tech, business, and research
  • Personalized support to keep you on track throughout your learning journey

At Carnegie Mellon, we don't just teach generative AI - we help professionals shape its future. Hear more about how we bring CMU's signature content in generative AI to working professionals around the country. Learn how we make this happen from CMU's Vice Provost for Teaching and Learning Innovation, Dr. Marsha Lovett.

Want more info about the program? Download our Program Tech Sheet.
Or, if you're ready to apply, start your application today!

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