Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. Today, I am excited to announce a new education course, built in collaboration with Coursera, to help you build your ML skills: Getting started with AWS Machine Learning. You can access the course content for free now on the Coursera website.

The World Economic Forum [1] states that the growth of artificial intelligence (AI) could create 58 million net new jobs in the next few years, yet, it’s estimated that there are currently 300,000 AI engineers worldwide, but millions are needed [2]. This means that there is a unique and immediate opportunity to for you to get started learning the essential ML concepts that are used to build AI applications – no matter what your skill level. Learning the foundations of ML now will help you keep pace with this growth, expand your skills, and even help advance your career.

Based on the same ML courses used to train engineers at Amazon, this course teaches you how to get started with AWS Machine Learning. Key topics include: Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing (NLP) on AWS. Each topic consists of several modules deep-diving into a variety of ML concepts, AWS services, as well as insights from experts to put the concepts into practice. This course is a great start to build your foundational knowledge on Machine Learning before diving in deeper with the AWS Machine Learning Certification.

How it Works

You can read and view the course content for free on Coursera. If you want to access assessments, take graded assignments, and get a post course certificate, it costs $49 in the USA and $29 in Brazil, Russia, Mexico, and India. If you choose the paid route, when you complete the course, you’ll get an electronic Certificate that you can print and even add to your LinkedIn profile to showcase your new found machine learning knowledge.

Enroll now to build your skills towards becoming an ML developer!


About the Author

Tara Shankar Jana is a Senior Product Marketing Manager for AWS Machine Learning. Currently he is working on building unique and scalable educational offerings for the aspiring ML developer communities- to help them expand their skills on ML. Outside of work he loves reading books, travelling and spending time with his family.

 

 

 


[1] Artificial Intelligence to Create 58 Million New Jobs by 2022, Says Report (Forbes)
[2] Tencent says there are only 300,000 AI engineers worldwide, but millions are needed (The Verge)


from AWS Machine Learning Blog