Last Updated on August 8, 2022 by Team College Learners

Artificial Intelligence online course cost is always a big question. It will determine whether you get access to the quality training or not. Getting the perfect artificial intelligence online course cost can help you learn it in an effective manner.

If you are looking for the A.I online course with pattern recognition and solution generation you’ve come to the right place. This advanced artificial intelligence course is designed for advanced professionals in the computer vision, AI and deep learning industries.

MIT’s Artificial Intelligence: Implications for Business Strategy. Learn online and earn valuable credentials from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and dozens of other topics.

MIT is one of the world’s leading centers of study and research in science, engineering, and technology. Founded in 1861 in Cambridge, USA, the institute trained professionals to meet the demand of industries growing fast. Only in the mid-1930s did MIT focus its training on basic scientific research and technological innovation.

Studying at MIT is expensive, around $ 60,000 a year, and its average scholarship amount for international students is US $ 32,000 — but in some cases, it can reach 100%. On average, 62% of its students receive some form of financial aid. In graduate school, almost 90% of students receive some scholarship. But there is another way to be part of it?

More than 200 courses are available — many of them in ​​science and technology, but with options also in economics, business, history, biology, sociology, and others.

Since 2008, the institution started to incorporate videos into online courses, and, currently, more than 100 courses have complete video classes with teachers from the institution. But our focus here will be AI and Machine Learning courses.

Why should you learn AI and Machine Learning?

Artificial Intelligence (AI) and machine learning — its main component today — are two of the most recurring themes today regarding innovation. Although most of the approaches are quite rich and positive, there is still a little exaggeration in the results’ expectations. And sometimes even suggestions for applications where AI would not necessarily be the best option.

Artificial intelligence is not a trend. It is a fact that there is still a little exaggeration in forecasts for the future.

However, a recent cycle of advances in algorithms and computational infrastructure has generated commercially relevant results.

Today, even professionals with other backgrounds, such as designers, developers, testers, and product owners, can and should have a broad view of AI.

In this way, they can think about the day-to-day, in each of their projects, how to incorporate these concepts, advising customers about it, and generating more value for all involved.

I believe that many professionals outside the exact sciences can and should learn the basics of AI to increase their potential contribution, either for their employer or for our society

Artificial Intelligence: Implications for Business Strategy