With Amazon EC2 Auto Scaling, you can automatically adjust the number of Amazon Elastic Compute Cloud (Amazon EC2) instances in your application environment based on real-time demand. In this course, you will learn the benefits and technical concepts of Amazon EC2 Auto Scaling. If you are new to the service, you will learn how to start using Amazon EC2 Auto Scaling through a demonstration using the AWS Management Console. You will learn how Amazon EC2 Auto Scaling maintains application availability by automatically adding or removing EC2 instances as needed.

Welcome to the Amazon EC2 Basics course. Compute services are the backbone that power most web-based applications. Amazon Elastic Compute Cloud (Amazon EC2) is the foundation that many other Amazon Web Services (AWS) offerings are built upon.

In this course, you will learn the benefits and technical concepts of Amazon Elastic Compute Cloud (Amazon EC2). If you are new to the service, you will learn how to start using Amazon EC2 through a demonstration using the AWS Management Console. You will learn about how to provision and manage virtual servers in the cloud without investing in physical hardware.

This module introduces Amazon Elastic Container Registry (Amazon ECR), a fully managed Docker container registry service that makes it easy for developers to store, manage, and deploy Docker container images. Learn about the core functionality, technical concepts, key features, and practical business applications of Amazon ECR. The module covers Amazon ECR architecture, integrations with AWS services, security features, and common use cases.

Amazon EKS Anywhere is an extension of Amazon Elastic Kubernetes Service (EKS) that lets you create and operate Kubernetes clusters on your own infrastructure. This deployment option provides a consistent management experience for Kubernetes clusters, whether they run in the AWS cloud or in your on-premises data centers. In this course, you will learn how to effectively use Amazon EKS Anywhere to build scalable and reliable cloud solutions.

With Amazon Elastic File System (Amazon EFS), you can create and configure shared file systems that can be accessed by multiple AWS Cloud services and on-premises resources. In this course, you will learn the benefits and technical concepts of Amazon EFS. If you are new to the service, you will learn how to start using Amazon EFS through a demonstration using the AWS Management Console. You will learn about how Amazon EFS provides scalable, fully managed file storage that eliminates the need for manual storage provisioning and maintenance.

In this course, you will learn the benefits and technical concepts of Amazon EKS. You will learn about how Amazon EKS handles tasks like health monitoring, scaling, and updating the Kubernetes control plane. Then you will learn how to start using Amazon EKS through a series of demonstrations.

Amazon EMR is the industry-leading cloud big data solution for petabyte-scale data processing, interactive analytics, and machine learning using open-source frameworks such as Apache Spark, Apache Hive, and Presto. You can use Amazon EMR to set up, operate, and scale your big data environments and automate time-consuming tasks like provisioning capacity.

In this course, you will learn the benefits and technical concepts of Amazon EventBridge. You will learn about building event-driven architectures and automating workflows to streamline operations and enhance application responsiveness. If you are new to the service, you will learn how to start using Amazon EventBridge through a demonstration that uses the AWS Management Console.

With Amazon File Cache, you can create a temporary, high-speed storage location for your file data in Amazon Web Services (AWS). In this course, you will learn the benefits and technical concepts of Amazon File Cache. If you are new to the service, you will learn how to start using Amazon File Cache through a demonstration using the AWS Management Console. You will learn about how Amazon File Cache brings your data closer to where it's being processed, regardless of where that data originally resides.

Amazon Fraud Detector is a fully managed machine learning service that identifies potentially fraudulent activities in real-time. The service analyzes your data to detect fraud patterns and provides predictions with confidence scores to help you make informed decisions about transactions, account registrations, and other business activities. Learn how to effectively use Amazon Fraud Detector to build scalable and reliable cloud solutions.

Amazon FSx for NetApp ONTAP provides fully managed shared storage in the Amazon Web Services (AWS) Cloud. In includes popular features, data access options, and management capabilities of NetApp ONTAP.

In this course you will learn about the features, benefits, and common use cases for FSx for ONTAP. You will learn how to deploy FSx for ONTAP file systems. We conclude with an examination of some of the post-deployment FSx for ONTAP considerations, such as the pricing, management, and monitoring options available to you.

This course teaches you how Amazon FSx for Windows File Server can support your Windows-based applications and workloads. In this course, you learn about the benefits and use cases of FSx for Windows File Server. You explore the basics of configuring a file system. You also learn about the best practices to follow when administering your file systems. Finally, you review the cost model associated with using Amazon FSx for Windows File Server.

• Course level: Intermediate    
• Duration: 1 hour

With Amazon FSx, you can deploy fully managed file systems in the AWS Cloud without managing the underlying infrastructure. In this course, you will learn the benefits and technical concepts of Amazon FSx. If you are new to the service, you will learn how to start using Amazon FSx through a demonstration using the AWS Management Console. You will learn about how Amazon FSx eliminates the complexity of managing file storage while providing enterprise-grade features and performance.

Amazon GuardDuty is a threat detection service that continuously monitors your AWS accounts, workloads, and data for malicious activity. With GuardDuty, you can use machine learning, anomaly detection, and integrated threat intelligence to identify unexpected and potentially unauthorized activity within your AWS environment. Learn how to use Amazon GuardDuty effectively to build scalable and reliable cloud solutions.

With Amazon Kinesis Data Streams, you can build applications that process streaming data in real-time. Kinesis Data Streams offers a scalable and durable solution for ingesting, processing, and storing streaming data from multiple sources, making it available for use cases such as analytics, monitoring, and machine learning. This course is designed to provide learners with a comprehensive introduction to Amazon Kinesis Data Streams, a fully managed, streaming data service. You'll learn the basics of Amazon Kinesis, its architecture, and its various use cases. The course will guide you through the process of launching and creating a Kinesis stream, sending data to the stream, and consuming data from it.

Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces for voice and text.

In this course, you will learn the benefits and technical concepts of Lightsail. If you are new to the service, you will learn how to start using Lightsail through a demonstration using the AWS Management Console. You will learn about a service that helps you get started with Amazon Web Services (AWS) without dealing with complex infrastructure management.

In this course, you will learn the benefits and technical concepts of Amazon Managed Service for Apache Flink. If you are new to the service, you will learn how to start using Amazon Managed Service for Apache Flink through a demonstration using the AWS Management Console. You will learn about how to process real-time streaming data efficiently without the operational overhead of managing Flink clusters.