Amazon SageMaker Training in Hong Kong

Who should attend this Amazon SageMaker Training Course?

The Amazon SageMaker Training Course is designed for individuals who want to gain an understanding of machine learning and deploy the same for practical applications. The Amazon SageMaker Training Course can benefit professionals such as:

• Data Scientists
• Machine Learning Engineers
• Data Engineers
• Data Analysts
• Cloud Architects
• Financial Analysts
• Technical Managers

Prerequisites of the Amazon SageMaker Training Course

There are no formal prerequisites for this Amazon SageMaker Course. However, a basic understanding of machine learning can be beneficial for the delgates.

Amazon SageMaker Training ​Course Overview

Amazon SageMaker is a service enabling developer to build and train machine learning models for predictive or analytical applications in AWS (Amazon Web Service) public cloud. It comprises modules that can be used together or independently for building, training, and deploying machine learning models. It supports Jupyter notebooks, which are open source web applications helping developers share live code. This Amazon SageMaker Training is designed to equip delegates with a comprehensive knowledge of Amazon SageMaker.

In this 2-day course, delegates will learn how to create an Amazon S3 bucket and IAM administrator user and group. Delegates will gain knowledge of how to download, explore, and transform data. In addition, they will get an understanding of how to build, train, and deploy a model in Amazon SageMaker.

During this course, delegates will be using an algorithm to run a training job, hyperparameter tuning job, and a model package to create a model. Delegates will become familiarised with Apache spark, TensorFlow and Apache MXNet. They will gain in-depth knowledge of reinforcement learning with Amazon SageMaker RL. Post completion of this training, delegates will be able to protect data at rest and in transit using encryption.