IT Skills     Cloud Computing and Virtualization     Amazon     AWS Certified Machine Learning

---

Amazon Simple Storage Service (S3) is widely used for many machine learning applications. Using Amazon S3, you can quickly and easily run machine learning algorithms on large databases using remote machines.
In this course, you'll explore the various data formats Amazon S3 uses for machine learning pipelines. You'll then examine several Amazon S3 services in detail, looking at their use cases, workflows, and features.
You'll also learn about the vital Amazon S3 functionalities related to security and access management and data storage, archiving, and analytics.
When you've finished this course, you'll be able to outline how Amazon S3 is used for machine learning tasks, taking you one step closer to being fully prepared for the AWS Certified Machine Learning – Specialty exam.

---

---

Objectives

AWS Certified Machine Learning: Amazon S3 Simple Storage Service discover the key concepts covered in this course describe what Amazon S3 is used for and its main benefits describe how to categorize data in Amazon S3 using buckets, partitions, and tags define the use cases of Amazon Storage Lens and name its main features and workflows define the use cases of Amazon Intelligent Tiering and name its main features and workflows define the use cases of Amazon Access Points and name its main features and workflows define the use cases of Amazon Batch Operations and name its main features and workflows define the use cases of Amazon Block Public Access and name its main features and workflows work with the Amazon S3 Management Console to create buckets and use Storage Lens, Intelligent-Tiering, Access Points, Replication, and Batch Operations name major use cases of Amazon S3 and specify its role as the foundation for any data-related functionality of AWS describe how global businesses are using Amazon S3 to tackle real-world problems summarize the key concepts covered in this course