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Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI 
offered by MIT University

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Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI
 at 
MIT University 
Overview

Demystify machine learning through computational engineering principles and applications in this two-course program from MIT

Duration

10 weeks

Total fee

1.84 Lakh

Mode of learning

Online

Course Level

UG Certificate

Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI
 at 
MIT University 
Highlights

  • Earn a Professional Certificate and 5 Continuing Education Units (CEUs) from MIT
  • Learn through simulations, assessments, case studies, and tools
  • Get a chance to connect with an international community of professionals
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Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI
 at 
MIT University 
Course details

Skills you will learn
Who should do this course?
  • For Industry professionals
  • For Other technical professionals
What are the course deliverables?
  • Learn how to simulate complex physical processes in your work using discretization methods and numerical algorithms
  • Assess and respond to cost-accuracy tradeoffs in simulation and optimization, and make decisions about how to deploy computational resources
  • Understand optimization techniques and their fundamental role in machine learning
  • Practice real-world forecasting and risk assessment using probabilistic methods
  • Recognize the limitations of machine learning and what MIT researchers are doing to resolve them
  • Learn about current research in machine learning at the MIT CCSE and how it might impact your work in the future
More about this course
  • This two-course online certificate program brings a hands-on approach to understanding the computational tools used in engineering problem-solving

Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI
 at 
MIT University 
Curriculum

Machine Learning, Modeling, and Simulation Principles

Applying Machine Learning to Engineering and Science

Faculty Icon

Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI
 at 
MIT University 
Faculty details

John Williams
John Williams holds a BA in Physics from Oxford University, an MS in Physics from UCLA, and a PhD in Numerical Methods from the University of Wales, Swansea.
Heather Kulik
Markus Buehler
Richard Braatz

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Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI
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Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI
 at 
MIT University 
Contact Information

Address

77 Massachusetts Ave, Cambridge, MA 02139, USA
Cambridge ( Massachusetts)

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