Blog Feature

Technology Insider | Online Education | Data Science | MITx MicroMasters® Programs | MIT Open Learning | Machine Learning

By: MIT Open Learning | May 18th, 2022
3 Minute Read

MIT's recent first annual Day of AI offered thousands of K-12 educators around the world a free series of hands-on activities intended to introduce students to artificial intelligence (AI) and help them explore how AI plays a part in their lives today. Such technologies offer exciting new ways for learners of all ages to tackle real-world challenges. The Day of AI exposed learners of all age to the key concepts, applications, and implications of these new computational methods. MIT offers a wide variety of online educational resources for learning about AI and machine learning. Here are five online artificial intelligence resources from MIT, for learners of all levels:

Blog Feature

Technology Insider | Online Education | Professional Development | Machine Learning

By: MIT xPRO | February 3rd, 2022
1 Minute Read

If you are interested in an MIT xPRO course or program, but aren't sure whether its right for you, attending an informational webinar might help your decision-making process. 

Blog Feature

Machine Learning

By: MIT xPRO | November 3rd, 2021
4 Minute Read

As organizations increasingly invest in artificial intelligence (AI) initiatives, most are not achieving their goals. Gartner estimates that through 2023, only 50% of organizations will take their AI projects past proof of concept. We asked MIT Professor Youssef Marzouk what factors might be holding companies back from faster and broader machine learning adoption and impact. Marzouk is co-director of the MIT Center for Computational Engineering and the director of MIT’s Aerospace Computational Design Laboratory. He is also one of the lead faculty for the MIT xPRO online program Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI.

Blog Feature

Professional Development | Machine Learning

By: MIT xPRO | November 18th, 2020
3 Minute Read

Can you take an online machine learning course without a background in data science or engineering? That’s the big question that MIT xPRO’s support team gets from professionals who are interested in earning an online certificate in Machine Learning, Modeling, and Simulation, but don’t feel prepared for the two-course online program.

Blog Feature

Machine Learning

By: MIT xPRO | August 5th, 2020
2 Minute Read

Although machine learning offers important new capabilities for solving today’s complex problems, more organizations may be tempted to apply machine learning techniques as a one-size-fits all solution. 

Blog Feature

Online Education | Professional Development | Manufacturing | Quantum Computing | Engineering | Negotiation | Machine Learning

By: MIT xPRO | May 27th, 2020
6 Minute Read

There are more online learning resources to choose from than ever before. If you’re looking to learn emerging technologies or prepare your workforce for digital transformation an informational webinar can help you explore the content, structure, and learning outcomes of a prospective online course.  Explore online courses and programs in topics like additive manufacturing, leadership, machine learning, negotiation, systems engineering, and quantum computing. Register to view any of the MIT-faculty led on-demand webinars below. 

Blog Feature

Technology Insider | Manufacturing | Engineering | Machine Learning

By: MIT xPRO | April 17th, 2020
4 Minute Read

"You don’t have to become a machine learning expert to apply these new tools effectively. Engineers who more fully understand where machine learning can help -- and where it can’t -- can achieve real gains from these tools, whatever their industry.” -- Professor Youssef Marzouk Scan what has been published and written about machine learning, and you might conclude that it is the sole domain of big tech software companies such as Amazon, Google and Facebook. Yet, beyond commonly known applications such as predicting consumer behavior and driving e-commerce with recommendations, machine learning is being applied to design new aircraft and automobiles, build safety-critical systems, conduct chemical process design, and even predict earthquakes.