Amazon Certifies Machine Learning Skills
Amazon Web Services (AWS) is releasing its two decades worth of machine learning expertise in the form of technical courses used to train its developers. Along with the training courses, the cloud giant said it is also launching a machine learning certification program to help developers demonstrate their abilities on a range of Amazon platforms and machine learning services.
The training program includes more than 30 machine learning courses originally developed by Amazon (NASDAQ: AMZN) for internal training. That works out to about 45 hours, including lab work and documentation. Along with developers, the training curriculum is aimed at data scientists and data platform engineers, allowing them to apply machine learning tools to business analytics and other tasks.
The coursework “helps consolidate best practices, and demonstrates how to get started on a range of AWS machine learning services, including Amazon SageMaker, AWS DeepLens, Amazon Rekognition, Amazon Lex, Amazon Polly, and Amazon Comprehend,” Amazon said in a blog post announcing the machine learning training initiative.
Meanwhile, the machine learning certification is administered via “beta” exams that would qualify candidates as certified DevOps engineers or machine learning specialists, among other technical categories.
The training courses and machine learning certification program were announced by AWS on Monday (Nov. 26) during its annual company event in Las Vegas. The courses are free, but users must pay for AWS training services used in labs and during certification exams.
AWS has released a steady stream of machine learning tools over the past year, including its SageMaker machine and deep learning stack unveiled at last year’s AWS re:Invent conference.