Entrance Requirements
A bachelor's degree from a U.S. regionally accredited institution (or international equivalent) and a minimum GPA of 2.7 is required. The GRE/GMAT is not required.
Gain skills and digital credentials quickly with a graduate micro-credential.
Manufacturing AI
Earn your Graduate Micro-Credential in Manufacturing AI
For manufacturers, artificial intelligence (AI) can be a game changer, offering a competitive advantage by using machine learning (ML) solutions and deep learning neural networks to optimize manufacturing processes with improved data analysis and decision-making. Students in the Graduate Micro-Credential in Manufacturing AI will gain foundational knowledge of Smart Manufacturing (SM) and AI concepts necessary to build any SM system, as well as learn data handling and simulation techniques used in the manufacturing industry.
Our graduate-level micro-credentials are practical and industry-relevant, and offer a way to gain expertise quickly in an ever-changing landscape and realize a competitive edge.
In just two classes, you will earn a micro-credential and digital badge to bolster your resume and online profile. Badges are a convenient way to digitally showcase and share expertise and help differentiate yourself in the market.
Students have the option to use coursework from the micro-credential to continue in a graduate certificate or master’s degree program offered by Graduate Programs in Software.
How to earn a graduate micro-credential
Graduate Micro-Credential in Manufacturing AI Requirements
To complete the Graduate Micro-Credential in Manufacturing AI, you must complete the following two courses (6 graduate semester credits) with a GPA of 2.7 or higher.
Two Required Courses:
- SEIS 756 AI for Smart Manufacturing I
- SEIS 757 AI for Smart Manufacturing II
Graduate Micro-Credentials that Work for You
Convenient Schedule
Classes are offered in-person and online weeknights from 5:30 – 8:30 p.m., Monday – Friday.
Get the Facts
Attend an Information Session
Attend an online information session to learn program details. Our programs serve working professionals with busy lives. Set your own pace and start fall, spring or summer. Classes are offered in-person and online weeknights from 5:30 – 8:30 p.m., Monday – Friday. We look forward to meeting you.
Featured Faculty
All full-time tenured faculty hold Ph.D. degrees and offer extensive industry experience. Adjunct faculty are selected based on professional experience and educational credentials.
Abhishek Roy
Abhishek Roy has over 10 years of consulting experience in data analytics, data strategy and machine learning and has worked on many data science projects across industries such as Consumer Packaged Good, Retail, Insurance, Finance and Manufacturing. He also co-founded Social Data Science group which works with nonprofits such as Generation NEXT, Avivo, and the Science Museum of Minnesota to apply Data Science for social good.
Shrey Pareek
Dr. Shrey Pareek earned his PhD in medical robotics and AI from the University of Illinois at Urbana-Champaign. He is currently a Computer Vision Scientist at Cargill, working on large scale computer vision and machine learning problems. His areas of expertise include computer vision, machine learning, human-robot interaction, robotic rehabilitation, reinforcement learning, assist-as-needed controllers, and biomechanical signal processing (EMG/EEG). He enjoys working on problems that require real-time computations and involve a human in the loop component.