This free digital course will teach the important concepts about Amazon API Gateway and the things that you need to know to start building your serverless applications in AWS.

Amazon Bedrock is a fully managed service that offers leading foundation models (FMs) and tools to build and scale generative AI applications quickly. The service also helps ensure privacy and security.

In this course, you will learn the benefits and technical concepts of Amazon CloudWatch. Using CloudWatch, developers and operators can improve the performance and availability of their applications. CloudWatch helps you observe and monitor resources and applications in AWS Cloud, hybrid, or on-premises environments. In this course, you will also review the basics of CloudWatch, including the business and technical challenges it can solve.

The self-service graphical interface in Amazon Connect makes it convenient for non-technical users to design contact flows, manage agents, and track performance metrics. This course will introduce you to the Amazon Connect console.

With Amazon Connect Contact Lens, organizations analyze customer conversations, evaluate agent performance, and continuously improve customer experience. In this course, you will recognize the benefits, typical use cases, and core concepts of Contact Lens. You will explore implementation scenarios and identify the key considerations to uncover trends, sentiment, and conversation characteristics from contact interactions. You will learn how post-contact summaries are used to replace manual note-taking so supervisors can review interactions efficiently.

With Amazon Connect, you can build conversational interfaces so users can interact using natural language through voice or text. In this course, you will learn the benefits, typical use cases, and core concepts of Amazon Connect Conversational Interfaces. You will explore real-world implementation scenarios and identify the key considerations to provide natural, human-like interactive experiences for customers across multiple channels. You will also learn routing strategies and their implementation within the Amazon Connect contact center platform.

An Amazon Connect Flow defines how a customer experiences an organization's contact center from start to finish. Flows enable businesses to customize their Interactive Voice Response (IVR) systems and optimize routing. For example, by using Flows, IVR designers can offer users a set of menu options and route calls based on their key-pad selections. Amazon Connect Flows empower businesses to reduce their customer effort by creating dynamic and personalized experiences.

With Amazon Connect routing, organizations can implement intelligent and customizable omnichannel routing strategies to connect customers to agents with the most appropriate skill set. In this course, you will learn the benefits, typical use cases, and core concepts of Amazon Connect routing. You will explore real-world implementation scenarios and identify the key considerations to enhance the customer experience and optimize contact center operations through effective routing.

Amazon Connect is a cloud contact center that helps you offer superior customer service. Because it is designed from the ground up to be omnichannel, Amazon Connect provides a seamless experience across voice, chat, and tasks for your customers and contact center agents. Amazon Connect includes tools for skills-based routing, powerful real-time and historical analytics, and intuitive management tools. With pay-as-you-go pricing, Amazon Connect can lower costs while improving contact center operations and agent efficiency.

In this course, you will learn the benefits and technical concepts of Amazon DevOps Guru. By using DevOps Guru, developers and operators can improve the performance and availability of their applications. DevOps Guru applies machine learning (ML) to analyze your operational data, application metrics, and events to identify behaviors that deviate from normal operating patterns. In this course, you will also review the basics of DevOps Guru and the business and technical challenges it can solve.

This free course provides an in-depth introduction to Amazon DynamoDB and how it is leveraged in building a serverless architecture. It also talks about core DynamoDB components and how-to setup and access them in creating a serverless application.

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.

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.

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

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.

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.