According to LinkedIn, millions of roles are available for AI practitioners, with only ~300,000 qualified personnel to fill them. Researchers further report that 2017 saw a 9.8x growth in demand for machine learning engineers — beating data scientists, sales development representatives, and customer success managers to the title of #1 emerging job. TechRepublic also ranks Machine Learning as the top AI skill. With competition fierce and the cost of attracting qualified candidates skyrocketing, companies are looking to their existing talent pools to reskill, upskill and develop the capabilities they need.
EdX and AWS have collaborated to put ML in the hands of learners and companies across the globe. Building on the successful AWS Developer Professional Series, we are excited to announce our newest collaboration: Amazon SageMaker: Simplifying Machine Learning Application Development. This intermediate-level course, built by AWS experts and available exclusively on edX.org, provides a baseline understanding of ML and how applications can be built and deployed using Amazon SageMaker.
Amazon SageMaker is a fully-managed machine learning service that allows developers and data scientists to quickly and easily build/train ML models and directly deploy them into a production-ready hosted environment. This course will be especially beneficial for companies which employ cloud-native developers or are looking to upskill their developers in ML. Existing expertise in ML and data science is not required. Familiarity with the AWS Console, tools, and services before beginning this course is helpful and can be attained by completing the AWS Developer Professional Series on edX.org.
View the Simplifying Machine Learning Application Development Course on edX.org