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.

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 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.

⛔️ This has been decommissioned by AWS.

Alternatively, you can use the related course from the AWS Skill Builder site by going to this link: AWS Skill Builder.

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.

With Amazon Managed Streaming for Apache Kafka (Amazon MSK), you can build and run applications that use Apache Kafka to process real-time data streams. In this course, you will learn the benefits and technical concepts of Amazon MSK. If you are new to the service, you will learn how to start using Amazon MSK through a demonstration using the AWS Management Console. You will learn about using a fully managed service to simplify the process of building and running Apache Kafka clusters, eliminating the need to manage infrastructure.

With Amazon Managed Workflows for Apache Airflow (Amazon MWAA), you can build, schedule, and monitor complex data pipelines and workflows without managing the underlying infrastructure. In this course, you will learn the benefits and technical concepts of Amazon MWAA. If you are new to the service, you will learn how to start using Amazon MWAA through a demonstration using the AWS Management Console. You will learn how Amazon MWAA can streamline data processing tasks, automate repetitive operations, and orchestrate multi-step workflows.

Amazon Q Business is generative artificial intelligence (generative AI) powered assistant that can answer questions, generate content, create summaries, and complete tasks—all based on the information in your enterprise.

Amazon Q Developer is a generative artificial intelligence (AI) powered assistant that helps you understand, build, extend, and operate AWS applications throughout the software development lifecycle. In this Getting Started course, you will learn about the benefits, features, typical use cases, technical concepts, and cost of using Amazon Q Developer. You will review an architecture that uses Amazon Q Developer in interactive and asynchronous environments to chat with applications and customize and transform code. Through a guided tutorial consisting of a narrated video, step-by-step instructions and transcript, you will learn how to setup an interactive development environment (IDE) that uses Amazon Q Developer. You will use that environment to optimize code, transform code written in Java 8 to Java 17, and implement a new feature in a project.

Amazon QuickSight is a cloud-scale business intelligence (BI) service that you can use to create and publish interactive dashboards. You can access these from browsers or mobile devices. As a fully managed cloud-based service, QuickSight combines data from many different sources and provides user management tools that you can use to scale from a few users to millions. In this course, you will learn about the benefits and technical concepts of QuickSight. You will learn about the architecture and built-in features. You will have an opportunity to try key features through demonstrations.

In this course, you will learn the benefits and technical concepts of Amazon RDS for MySQL. If you are new to the service, you will learn how to start using Amazon RDS for MySQL through a demonstration using the AWS Management Console. You will learn about how Amazon RDS for MySQL eliminates the need for manual database management, reducing operational overhead and enabling you to focus on application development.

In this course, you will learn the benefits and technical concepts of Amazon RDS for Oracle. If you are new to the service, you will learn how to start using Amazon RDS for Oracle through a demonstration using the AWS Management Console. You will learn about offloading time-consuming database administration tasks to AWS, so you can focus on your applications and business logic.

In this course, you will learn the benefits and technical concepts of RDS for SQL Server. You will learn about how RDS for SQL Server automates time-consuming database administration tasks so you can focus on your applications and business logic. If you are new to the service, you will learn how to start using RDS for SQL Server through a demonstration using the AWS Management Console.

In this course, you will learn the benefits, typical use cases, and technical concepts of Amazon Redshift. You can also try the service through a demonstration using the AWS Management Console. The cloud data warehouse service integrates with data lakes based on Amazon Simple Storage Service (Amazon S3). It also integrates with relational database services such as Amazon Relational Database Service (Amazon RDS) for PostgreSQL, Amazon Aurora PostgreSQL-Compatible Edition, Amazon RDS for MySQL, and Amazon Aurora MySQL-Compatible Edition. Amazon Redshift supports building and using machine learning (ML) models using familiar SQL commands, thereby reducing the skills needed to take advantage of ML.

⛔️ This has been decommissioned by AWS.

Alternatively, you can use the course from the AWS Skill Builder site by going to this link: https://explore.skillbuilder.aws/learn/course/external/view/elearning/17896/amazon-route-53-basics

⛔️ This has been decommissioned by AWS.

Alternatively, you can check other courses from the AWS Skill Builder site by going to this link: https://skillbuilder.aws/

With Amazon Route 53, you can translate human-readable domain names into IP addresses that computers use to identify each other. In this course, you will learn the benefits and technical concepts of Route 53. If you are new to the service, you will learn how to start using Route 53 through a demonstration that uses the AWS Management Console. You will learn about how this powerful service solves common networking challenges, offers unique benefits, and integrates into your overall Amazon Web Services (AWS) infrastructure strategy.