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.

The coronavirus pandemic has up ended the business world, education, and the workplace and landed us in a protracted moment of uncertainty and disruption. Companies are scrambling to manage distributed teams and coordinate work remotely, while retaining customers and finding new sources of revenue. Some must fully reinvent themselves to survive, as their traditional markets have shrunk or disappeared entirely.

Our abrupt and ongoing shift to remote work is having wide-ranging effects on design, engineering, and manufacturing industries, putting great pressure on organizations to be more agile, efficient, and flexible in a COVID-19 world.

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.