PROFESSIONAL CERTIFICATE PROGRAM IN
Industry 4.0
Leverage IoT to evolve production processes and provide smart solutions
Learning journey
Over 12 months, this online Professional Certificate Program equips professionals with the skills to design roadmaps and integrate innovative technological solutions in communication, manufacturing, and strategic planning through the following courses:
Why enroll in this course?
Become part of the MIT community and increase your networking opportunities with other Alumni.
Develop your Impact Project by collaboratively designing a business solution that addresses a real-world challenge, applying the tools and strategies gained throughout the program.
Live online immersive sessions with MIT Faculty and subject matter expert speakers.
Certificate Award Ceremony at MIT's campus in Cambridge, Massachusetts.
Course overview
Who is it for?
This Professional Certificate Program in Industry 4.0 is designed for:
Plant and Product Managers seeking to boost efficiency, adopt new technologies, and align production with business goals.
Product strategists, platform architects, R&D, and systems engineers in industry and government shaping innovation, and driving technological advancement.
Design and manufacturing engineers exploring data and modeling in manufacturing
Data scientists applying expertise to Smart Manufacturing
Technology leaders seeking generative AI best practices for business outcomes
Functional managers wanting in-depth knowledge of emerging technologies
Senior managers and mid-career executives exploring generative AI applications
Innovation, sales, product, marketing, and customer experience professionals leveraging generative AI for new products and personalization
Investors in venture capital, private equity, or hedge funds seeking opportunities in generative AI.
Instructors
Director of the MIT Master of Engineering in Advanced Manufacturing and Design. Associate Director, MIT.nano
Director, System Architecture Group at MIT
Professor of Aeronautics and Astronautics and Engineering Systems, MIT
Executive Director of MIT’s Geospatial Data Center, Research Scientist; Center for Complex Engineering Systems, Sociotechnical Systems Research Center, under the Schwarzman School of Computer Science
Professor of Mechanical Engineering and Industrial Engineering
Professor of Information Engineering, Civil and Environmental Engineering and Director of MIT Geospatial Data Center, and a faculty member in the Center for Computational Science and Engineering part of the Schwarzman School of Computer Science
Key takeaways
Identify new market and product opportunities to drive revenue growth.
Use production data for smart manufacturing and platform design.
Optimize machines using machine vision and the FrED fiber extrusion device.
Perform advanced data analysis with FrED data sets in manufacturing.
Apply IoT+ theory to enhance smart technology applications.
Measure technological progress with Figures of Merit (FOMs) and align innovations with target products or services.
Develop leadership strategies and cultures that foster creativity and innovation.
Automate workflows with Generative AI within an ethical framework
All the participants who successfully complete their program will receive an MIT Professional Education Certificate of Completion, as well as Continuing Education Units (CEUs)*.
To obtain CEUs, complete the accreditation confirmation, which is available at the end of the course. CEUs are calculated for each course based on the number of learning hours.
*The Continuing Education Unit (CEU) is defined as 10 contact hours of ongoing learning to indicate the amount of time they have devoted to a non-credit/non-degree professional development program.
To understand whether or not these CEUs may be applied toward professional certification, licensing requirements, or other required training or continuing education hours, please consult your training department or licensing authority directly.
Application process
Complete the application form and pay the non-refundable fee.
Our program advisors will evaluate your application.
Await the decision from our program advisors. If accepted, you'll be able to complete your enrollment.
If you receive an offer of admission, you’ll have 72 hours to pay the enrollment fee and reserve your place.
Frequently asked questions
Register now and boost your professional trajectory.
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