AI Engineering - Mechanical Engineering
Online Graduate Certificates
Build Extraordinary Solutions
Learn AI Engineering to design next-generation solutions for today’s industries.
Stay Ahead in a Fast-Moving Field
The field of mechanical engineering is experiencing a paradigm shift—companies are using artificial intelligence (AI) now more than ever before. According to a survey by Gartner, the number of organizations that heavily rely on AI increased by 270% in just 4 years.
Simply put: mechanical engineering professionals must develop AI skills to stay ahead. That’s why we offer the following online graduate certificates in AI Engineering for Mechanical Engineering, and related fields:
- Graduate Certificate in AI Engineering Fundamentals
- Graduate Certificate in Advanced AI Models for Engineering
These credit-bearing, graduate-level certificates will transform you into an AI-savvy engineer who can use this state-of-the-art technology to solve real-world engineering problems in new and revolutionary ways.
Solve Engineering Problems with AI
With expertise in artificial intelligence, you can create more efficient, accurate, and productive engineering solutions that will allow your organization to compete in a rapidly-evolving landscape. When you complete these certificates, you will be able to automate repetitive tasks, optimize designs, make predictions, improve quality control, advance the design of products using the most cutting-edge AI and machine learning techniques.
Learning Outcomes for AI Engineering Fundamentals
In the AI Engineering Fundamentals graduate certificate, you will:
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Learn how to describe the fundamental problems addressed by machine learning and artificial intelligence
- Design and implement various machine learning algorithms
- Apply mathematical concepts (including linear algebra, probability, statistics, and optimization) in the context of machine learning algorithms
- Formulate data-driven approaches to problems and communicate these solutions through implemented algorithms and write-ups
- Learn the basics of deep neural networks and their applications to different engineering tasks
- Describe and compare commonly used deep learning algorithms, their theoretical underpinnings and how they are applied to solve real world problems
- Implement deep learning algorithms in Python using PyTorch
- Analyze practical engineering problems to identify and apply relevant deep learning algorithms, and then communicate the approach, solutions, and outcomes
Learning Outcomes for Advanced Models for Engineering
In the Advanced AI Models for Engineering graduate certificate*, you will:
- Study advanced AI models used in engineering applications like surrogate modeling, matierals discovery, engineering design, manufacturing and human-AI teaming.
- Build upon fundamental deep learning concepts you mastered from the first certificate. Topics will include advanced variants of convolutional neural networks, graph neural networks, generative adversarial networks, neural operators, physics-informed neural networks and diffusion models.
- Explore Generative AI models used in engineering applications and related topics like diffusion models, transformers and large language models.
- Learn how to solve real-world engineering problems by tailoring publicly available Generative AI systems and building upon existing software. Through course projects, you will practice designing and implementing these techniques for engineering applications.
*Please note: the Advanced AI Models for Engineering graduate certificate is still in development, so course descriptions and learning outcomes are subject to change.
Powerful Certificates. Conveniently Offered.
The Graduate Certificate in AI Engineering Fundamentals and the Graduate Certificate in Advanced AI Models for Engineering are offered 100% online so engineers can fit the coursework into their busy day-to-day lives. However, a flexible format does not mean easier, watered-down content. In these certificates, you will complete a series of rigorous classes that match the caliber of on-campus, graduate-level programs you expect from Carnegie Mellon.
For the Innovators and Problem Solvers
These elite certificates are best suited for:
- Mechanical engineers looking to stay ahead in their field and deliver value to their organizations. These programs teach fundamental skills in artificial intelligence and machine learning as they relate to solving real-world engineering problems. Students will acquire hands-on skills for developing intelligent engineering software and making an impact in their industries.
- Recent graduates with degrees in mechanical engineering and related fields seeking to expand their skills and acquire the knowledge needed for the future of engineering. When students complete these certificates, they will have highly marketable skills in AI they can directly apply to industry projects.
Recognized for Engineering Excellence
Carnegie Mellon University is consistently ranked one of the top schools in the nation for engineering and AI. When you enroll in our program, you will learn from top researchers and access cutting-edge ideas that you can bring back to your workplace.
Number ONE in the nation for artificial intelligence graduate programs.
Number SEVEN in graduate engineering programs.
THIRTY FOUR members of the National Academy of Engineering.