Artificial Intelligence: Problem Solving with Machine Learning

"AI+X” Blended Learning: Demystify machine learning through computational engineering principles and applications in MIT way

A HANDS-ON APPROACH TO ENGINEERING PROBLEM-SOLVING

The advent of big data, cloud computing, and machine learning are revolutionizing how many professionals approach their work. These technologies offer exciting new ways for engineers to tackle real-world challenges. But with little exposure to these new computational methods, engineers lacking data science or experience in modern computational methods might feel left behind.

Leveraging the rich experience of the faculty at the MIT Center for Computational Science and Engineering (CCSE), this program connects your science and engineering skills to the principles of machine learning and data science. With an emphasis on the application of these methods, you will put these new skills into practice in real time.

AFTER THIS PROGRAM, YOU WILL:

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.

The MIT xPRO Learning Experience

We bring together an innovative pedagogy paired with world-class faculty.

LEARN BY DOING

Practice processes and methods through simulations, assessments, case studies, and tools.

LEARN FROM OTHERS

Connect with an international group of learners interested in solving complex problems.

LEARN ON DEMAND

Access all of the content online and watch videos on the go.

REFLECT AND APPLY

Bring your new skills to your education and career, through examples from technical work environments and ample prompts for reflection.

DEMONSTRATE YOUR SUCCESS

Earn a Professional Certificate and Completion from MIT and a Learning Analytics Report from Touch EdTech.

LEARN FROM THE BEST

Access cutting edge, research-based multimedia content developed by MIT professors & industry experts.

SMALL PRIVATE ONLINE COURSES IN THIS PROGRAM

Machine Learning, Modeling, and Simulation Principles

Base SPOC in the Artificial Intelligence: Problem Solving with Machine Learning program. Users must create a Touch EdTech account to view course details.

View Detail

Applying Machine Learning to Engineering and Science

Advanced SPOC in the Artificial Intelligence: Problem Solving with Machine Learning program. Users must create a Touch EdTech account to view course details.

View Detail

MIT FACULTY

Youssef M. Marzouk

Faculty Co-Director of MIT Center of Computational Engineering, Professor of Aeronautics & Astronautics and Director of Aerospace Computational Design Laboratory, MIT

George Barbastathis

Professor of Mechanical Engineering, MIT

Heather Kulik

Associate Professor of Chemical Engineering, MIT

John Williams

Professor Civil & Environmental Engineering, MIT

Themistoklis Sapsis

Associate Professor of Mechanical & Ocean Engineering, MIT

Markus Buehler

McAfee Professor of Engineering & Head, Department of Civil & Environmental Engineering, MIT

Richard Braatz

Edwin R. Gilliland Professor of Chemical Engineering, MIT

Justin Solomon

Associate Professor of Electrical Engineering and Computer Science, MIT

Laurent Demanet

Professor of Applied Mathematics & Director of MIT's Earth Resources Laboratory

PROPEL YOUR EDUCATION AND CAREER ON YOUR TERMS

Technology is accelerating at an unprecedented pace causing disruption across all levels of business. Tomorrow’s leaders must demonstrate technical expertise as well as leadership acumen in order to maintain a technical edge over the competition while driving innovation in an ever-changing environment.

MIT uniquely understands this challenge and how to solve it with decades of experience educating future leaders in the field. MIT xPRO’s online learning programs leverage vetted content from world-renowned experts to make learning accessible anytime, anywhere. Designed using cutting-edge research in the neuroscience of learning, MIT xPRO programs are application focused, helping learners build their all-round skills.

Embrace change. Enhance your skill set. Keep learning. MIT xPRO is with you each step of the way.

CREATE A TOUCH EDTECH ACCOUNT TO GET STARTED

APPLY NOW