Did you know that MIT xPRO hosts free live webinars and Q&As, led by MIT faculty and instructors? These virtual presentations detail the ins-and-outs of MIT xPRO's courses and programs and cover special topics in emerging technology and workforce education. Join MIT instructors to explore topics like systems thinking, supply chain management, additive manufacturing, machine learning, and more in these upcoming webinars:.

A recent survey of professionals who earned a professional certificate in Additive Manufacturing (AM) from MIT xPRO illustrates how learning online can result in career improvements.

Two-thirds of Survey Respondents Saw Career impact Within SIX Months. A recent survey of professionals who earned Architecture and Systems Engineering certificates from MIT xPRO illustrates how learning online can result in major career advancement.

It's easy to get overwhelmed by all of the free educational webinars and online learning resources available today. The good news is that it only takes an hour to gain new insights from MIT faculty on the latest topics in emerging technology and workforce learning.

As the COVID-19 pandemic intensified across the globe in April 2020, and many cities and states shut down, Professor J. Christopher Love and his team returned to the MIT Love Lab to critical path work--developing a vaccine candidate for COVID-19.

How can you learn quantum computing when you have never used a quantum computer? That’s the big question that MIT xPRO’s support team gets from professionals who are interested in earning a Quantum Computing Fundamentals certificate, but don’t feel prepared for a two-course online program.

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.

The market for recommendation engines is predicted to grow by USD $3.57B in the next four years, according to a recent report from Technavio. What’s the story behind these growth numbers? We talked with MIT Professor of Electrical Engineering & Computer Science and co-founder of machine learning startup Celect, Devavrat Shah, about the findings from this recent report and to discuss his predictions for recommendation systems technology.

There’s a story that John Wass likes to tell to illustrate the value of systems thinking. A CEO is holding the end of quarter meeting with their executive team. They go around the table, and everyone proudly reports that they’ve hit their KPIs. There’s just one problem. The CEO hasn’t achieved the company’s overall profitability goals. “Why,” the CEO asks, “Am I not doing great when all of you are?”

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.