Why Business Leader Should Take Andrew Ng’s Non Technical AI Course, “AI For Everyone”
Artificial Intelligence courses have been largely made and delivered for technical people. The people taking such courses mostly have a background in mathematics and/or programming. Many engineers, researchers and scientists who had a numerical background made use of the courses for advancing the career. The popular course simply called “Machine Learning” offered by Stanford University has been taken by 1.8 million students Coursera since 2011. Andrew Ng’s career so far has been a rock and roll ride. One of the world’s most renowned AI researcher, Ng is the man behind Google Brain project and also steered Baidu to a meteroic rise before kick-starting his next ventures — Drive.ai and Landing.ai. In his latest venture, Landing.ai, Ng is trying to target manufacturing and traditional enterprises to adapt to AI technology. “AI is affecting every industry, and it’s important for people in all of these different roles to understand enough about AI to know how to navigate their businesses,” Ng told an international media company. In middle of all the work he does, Ng launched a course which is targeted towards business professionals and the course is called, AI For Everyone.  “This course is for a non-technical audience, and I hope [it’ll] teach every one of the folks in our … audience how to navigate AI both for their industries as well as for their own careers.”, the Stanford university professor added. AI for Everyone will be available on Coursera in early 2019 with a subscription price of $49 per month. Why Should Business Leaders Take The Course The basic philosophy of the course is that AI should not be limited to engineers and researchers. The course was built keeping in mind non technical professionals who have a say in our future. The course is also non-technical and will help professionals understand machine learning and deep learning. There will be also help for them to apply machine learning in their organisations on scale. There is enough effort put in the course to present examples of things that today’s AI cannot do. So executives are clear on the limits of the technology and make better judgements. There is enough effort put in the course to present examples of things that today’s AI cannot do. The course is geared towards executives who can clearly understand the concepts and limits of the technology, thereby making better judgements for business outcomes. “What has happened is that the public sees success story after success story, and just like a learning algorithm that sees only positive examples will tend to think everything is a positive example, the fact that executives only see positive examples make them think that AI can do anything,” Andrew Ng said. As Ng recommends, every scientist who works in data or machine learning should ask their managers and CEO to take this course. This course can put the whole management team in alignment with the data science team in house, which can result in great outcomes for products.
Artificial Intelligence courses have been largely made and delivered for technical people. The people taking such courses mostly have a background in mathematics and/or programming. Many engineers, researchers and scientists who had a numerical background made use of the courses for advancing the career. The popular course simply called “Machine Learning” offered by Stanford University […]
Ng launched a course which is targeted towards business professionals and the course is called, AI For Everyone.  “This course is for a non-technical audience, and I hope [it’ll] teach every one of the folks in our … audience how to navigate AI both for their industries as well as for their own careers.”, the Stanford university professor added. AI for Everyone will be available on Coursera in early 2019 with a subscription price of $49 per month.
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["data science", "Go", "artificial intelligence", "machine learning", "programming_languages:R", "AI", "Google Brain", "Andrew Ng", "deep learning", "GAN", "AI research", "R", "leader of ai"]
["AI", "artificial intelligence", "machine learning", "deep learning", "data science", "R", "Go", "GAN", "AI research", "programming_languages:R"]
As a thorough data geek, most of Abhijeet's day is spent in building and writing about intelligent systems. He also has deep interests in philosophy, economics and literature.