Our AI Advantage

AI isn't replacing engineering, it's redefining it. From robotics and manufacturing to design and systems optimization, today's engineers need to understand how AI works and how to use it effectively and responsibly.

Our AI advantage lies in how we create the frontier of AI technology and how we teach it. We go beyond tools and trends to help students master the fundamentals that drive intelligent systems, and then empower them to apply those principles to design, build, and innovate.

Pioneers in AI engineering

Long before "generative AI" took the world by storm, our department was already teaching engineers how to think with data, reason with algorithms, and build intelligent systems. In 1990, we led the world by offering a course on AI in Design.

Shaping the future of AI education

Today, we offer ten AI and ML-focused courses for graduate students spanning every layer of the technology:

ML and AI for Engineers

Start with the fundamental artificial intelligence and machine learning techniques useful for developing intelligent software tools to support engineering design and other engineering activities.

Trustworthy AI

Knowledge and research skills learned in this course can be applied to self-driving, healthcare devices, assistant robots, and intelligent manufacturing.

AI and ML - Project

Work together to design, develop and test data-driven computational algorithms.

Intro to Deep Learning

Explore the basics of deep neural networks, and their applications to different tasks in engineering

Intermediate Deep Learning

Understand advances in deep learning technology such as sequential learning using Recurrent Neural Networks, Generative Adversarial Networks, Attention models and Transformers, and Diffusion models

AI Agents for Engineers

Design, implement, and deploy Large Language Model (LLM)-based agents to automate and enhance engineering workflows

Designing and Deploying

Understand a variety of practical considerations for the design and deployment of engineered systems that make use of artificial intelligence or machine learning.

Computer Vision for Engineers

Learn the basics of computer vision and its modern engineering applications such as factory automation, infrastructure inspection, mobile-robot navigation, self-driving cars, and medical diagnosis.

AI/ML for Modern Manufacturing

Innovate and lead in the future of intelligent manufacturing.

Generative AI for Engineers

Beyond using generative AI, students create and customize state-of-the-art generative models capable of solving complex engineering problems.
  
  

MS in AI Engineering

All of our graduate students are able to take our AI courses, but Carnegie Mellon is home to the world’s first Master of Science in AI Engineering. This program was designed specifically for engineers who want to bridge the gap between mechanical systems and intelligent technologies. It allows students to deepen their AI skills within engineering constraints and propel their careers.

Online graduate-level certificate

An online program for engineers who want cutting-edge skills in AI, ML, and deep learning.Taught by world-renowned faculty, these courses combine academic rigor with immediate real-world relevance, making them ideal for both full-time students and working professionals. Graduate students can begin with the online certificate, where four courses apply toward, and bring you halfway to completion of, our MS in MechE. 

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AI Fellows

The AI Fellows Program gives master's students the chance to work directly with faculty to bring AI tools into the classroom. Fellows develop intelligent systems to enhance education like automated tutoring assistants to improve real-time feedback. Students learn to use AI to support, not replace, the human creativity that defines great engineering. 

World-class AI research

Using LLMs to better identify market gaps for innovation Opens in new window

First-of-its-kind large language model converts consumer wants and needs into succinct product attributes to help designers think more strategically about the next generation of solutions.

Tactile sensors enable robots to carry unsecured loads Opens in new window

A new quadrupedal system with tactile sensing, LocoTouch, enables robot dogs to transport unsecured cylindrical objects on their backs for more than 60 meters while navigating around cones and over obstacles.

Simulator boosts strength, design in spray 3D concrete printing Opens in new window

Carnegie Mellon engineers have developed a simulation tool that predicts how sprayed concrete behaves and solidifies, even around rebar. The breakthrough could transform how buildings are constructed, cutting material waste and enabling stronger, more complex structures for tomorrow’s cities.

Going for gold in thermal conductivity Opens in new window

Mechanical Engineering Professor Alan McGaughey coordinated the “Phonon Olympics,” bringing together developers and expert users to benchmark three leading open-source thermal conductivity calculation packages.

AI Coach is changing the way teams perform for better results Opens in new window

Backed by psychology-informed AI, AI Coach is making high-performance teamwork more accessible than ever.

Hitting the gym: Researchers design controllers for robots made from living muscle Opens in new window

In a lab where biology meets robotics, Carnegie Mellon researchers are tackling a unique challenge: how do you control a robot made of living muscle that grows stronger every time it moves?

From donor to digital: making multi-structure transplants smarter and safer Opens in new window

Jessica Zhang is using AI and digital twins to make limb transplants safer, more accessible, and better matched for the millions of Americans living with limb loss.

Skybound construction Opens in new window

Advancements in aerial additive manufacturing from the lab of Amir Barati Farimani could one day enable drones to construct remote infrastructure, maintain cities, and support space exploration.