ONLINE COURSE
Smart Manufacturing:
Why enroll in this course?
Draw on MIT's more than 100 years of university-industry collaboration to learn how sensors, software, and systems can create a smart enterprise at any scale.
Experience the revolution in smart manufacturing as Dr. Brian W. Anthony and his team of MIT researchers continuously upgrade FrED, an intelligent machine built by MIT experts, with cutting-edge advancements in software and hardware.
Acquire smart technology strategies to stay at the forefront of the industry, including modeling, manufacturing systems, sensors, and advanced data analytics.
Interact with MIT experts, instructors, and peers in live synchronous sessions for a more comprehensive learning experience.
Networking opportunities establish professional connections with industry experts and your cohort.
Access to rich supplementary resources provides additional materials and content for a more thorough educational journey.
What will you learn?
Visualize the production of data to grasp the key variables underlying manufacturing.
Control of manufacturing processes, feedback, process modeling, and monitoring.
Apply advanced data analysis to prepare statistical models and test manufacturing processes.
Develop models that make sense of data while examining and improving FrED.
Discover the role that sensors play in data production and smart manufacturing.
Analyze the difference between the actual dynamics and the predicted dynamics.
Perform advanced data analysis using datasets produced by FrED during the manufacturing process.
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.
Course outline
Unite new technologies, such as machine learning, the Internet of Things, and data analysis, resulting in comprehending the transformation process currently happening in the manufacturing sector. Discover the latest trends and problem resolution methods with smart manufacturing and learn how to apply these skills to your organization.
Who is this online course for?
Plant, production and operations managers who work in the manufacturing sector.
Data scientists who want to put their capabilities into practice in the field of smart manufacturing.
Design and manufacturing engineers who are looking to learn about data and development models in the manufacturing sector.
Consultants whose objective is to put additional value on the latest innovative technology in the manufacturing sector.
Instructor
Director of the MIT Master of Engineering in Advanced Manufacturing and Design. Associate Director, MIT.nano
Course overview
Register now and boost your professional trajectory.
Starts on