快速入門系列
助你展開上雲第一步

In this course, you get an overview of the concepts, terminology, and processes of the exciting field of machine learning. And learn how Amazon SageMaker notebooks and instances help power your machine learning workloads and review the key Amazon SageMaker features.

In this training you will be introduced to the AWS services needed to build an end-to-end data solution to store, access, transform, analyze, and predict so you can put your data to work to make better, more informed decisions, respond faster to the unexpected, and uncover new opportunities.

Learn about AWS's strategy and best practices for performing large-scale migrations. you will learn proven techniques that make migrations successful and tools that will accelerate your migration journey to the AWS Cloud.

This presentation covers an overview of what we mean when we say modern applications and then zoom out to look at trends we’re seeing in enterprise businesses. Then we’ll deep dive on what Amazon has done to transform over the past several years and talk about what you can do to begin building modern applications.

This training will orient you to key serverless concepts to help you start developing serverless applications. You will learn how development best practices you already use in server-based development apply to serverless development, and how to adjust your development processes for serverless application development.

In the 1st part of the course, you will get an overview of the machine learning concepts and learn how Amazon SageMaker notebooks & instances help power your machine learning workloads and review the key Amazon SageMaker features.

In the 2nd part of the course, we will further cover the different security design principles that will help you to plan your security approach in the AWS Cloud and provides information on resources you can use to secure the could when developing AI application on the cloud.