ONLINE COURSE

Smart Manufacturing:

Moving From Static to Dynamic Manufacturing Operations
Country/Region
Inquiring For
Work Experience

Why Enroll in this Course?

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Become part of the MIT community, the leading institution in the world for innovation.

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Bring together technologies like Machine Learning, IoT, and data analytics in manufacturing.

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Utilization of a smart machine to demonstrate concepts and incorporate problem-solving skills.

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Generate ideas for making the manufacturing process in your own workplace smarter.

 What will you learn?

What will you learn?

  • Data production visualization

  • Manufacturing processes

  • Role of sensors

  • Actual and predicted dynamics

  • Machines & artificial vision

  • Advanced data analysis datasets

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.

Instructor

MPE - Faculty - Brian Anthony
Dr. Brian W. Anthony

Director of the MIT Master of Engineering in Advanced Manufacturing and Design. Associate Director, MIT.nano

Course overview

    I encourage you all to enroll this course because it has supplied me with all the necessary tools to be a team leader in a company that aspired to take part in digital transformation. This course has drastically increased my understanding of technical language and the ability to serve as a bit of a translator for the rest of my organization... I greatly appreciated the program's facilitators. Thank you MIT Professional Education.
    Marcos Agudo
    Regional Manager,
    H&M

    Register now and boost your professional trajectory.

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