AWS has announced over 30 machine learning (ML) courses aimed at developers, data scientists, data platform engineers and business decision makers, together with a brand new exam. These new offerings include more than 30 self-service, self-paced digital courses with over 45 hours of courses, videos and labs.
AWS users can validate their ML training and experience with the new AWS Certified Machine Learning – Specialty beta exam.
Adopting the same ML curriculum that has been used to train Amazon’s own developers and data scientists, each course starts with the fundamentals and builds on those through real-world examples and labs.
The learning paths differ for each of the four roles. For example, the ‘developers’ courses teach machine-learning building blocks, how to build machine-learning applications, computer vision and natural language processing.
From a business decision maker’s perspective, the coverage seeks to demystify artificial intelligence, machine learning and deep learning, as well as providing an understanding of the terminology and how to use AWS machine-learning services to build models and add intelligence to applications.
Having completed the fundamentals, coursework is used to help consolidate best practices, and demonstrate 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.
The recent AWS re:Invent 2018 event saw the launch of a range of new products and services, and the 10 minute video courses are intended to provide an introduction to these. They are broadly organised into the following categories:
- Machine learning
- Satellite communications
- Global services
- Medical data analytics.
The coverage includes introductions to services such as Amazon CloudWatch Log Insights, Amazon Forecast, Amazon FSx for Windows File Server, Amazon Personalize and AWS Security Hub.