deeplearning.ai: Announcing new Deep Learning courses on Coursera

Dear Friends,

I have been working on three new AI projects, and am thrilled to announce the first one: deeplearning.ai, a project dedicated to disseminating AI knowledge, is launching a new sequence of Deep Learning courses on Coursera. These courses will help you master Deep Learning, apply it effectively, and build a career in AI.

 

AI is the new electricity

Just as electricity transformed every major industry starting about 100 years ago, AI is now poised to do the same. Several large tech companies have built AI divisions, and started transforming themselves with AI. But in the next few years, companies of all sizes and across all industries will realize that they too must be part of this AI-powered future.

 

Building an AI-powered society

I hope we can build an AI-powered society that gives everyone affordable healthcare, provides every child a personalized education, makes inexpensive self-driving cars available to all, and provides meaningful work for every man and woman. An AI-powered society that improves every person’s life.

But no single company can do all the work needed to get us there. Just as every new CS graduate now knows how to use the Cloud, every programmer in the future must know how to use AI. There are millions of ways Deep Learning can be used to improve human life, so society needs millions of you from all around the world to build great AI systems. Regardless of whether you are an aspiring software engineer in California, a research scientist in China, or an ML engineer in India, I want you to be able to use Deep Learning to solve the world’s challenges.

 

What you will learn

Anyone with basic machine learning knowledge can take this sequence of five courses, which make up Coursera’s new Deep Learning Specialization.

You will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.

When you earn a Deep Learning Specialization Certificate, you will be able to confidently put “Deep Learning” onto your resume.

Join me to build an AI-powered society

1.8 million people have enrolled in my Machine Learning class since 2011, when four Stanford students and I launched what subsequently became Coursera’s first course. Since then, I have been inspired by many of you who have worked hard to understand machine learning, built wonderful AI systems, and developed amazing careers. I hope the Deep Learning Specialization will help you build even more amazing things, let you help society even more, and go even further in your career.

I hope you will join forces with me to build an AI-powered society.

I will also keep you informed as my other two AI projects develop, and will keep looking for ways to support all of you in the global AI community.

Andrew