Do you want to explore the features of Amazon Corretto, the production-grade, open-source Java environment from Amazon? In this course, instructor Carlos Rivas walks you through everything from setup to integration. Carlos shows you how to install Amazon Corretto on both Windows and Linux and goes over how to change runtime settings when needed. He explains how to measure the performance of Amazon Corretto with some sample code, then covers how to run the same performance-measuring code with OpenJDK for comparison. After demonstrating how to include Oracle Java in your performance test, Carlos describes how to compare test results to determine which Java implementation is best for your use cases. Next, he dives into how to set up containers, such as Docker Hub and Corretto Dockerfile, and how to run a deployment from your Dockerfile. Carlos finishes up by showing you how to integrate Corretto with Visual Studio code, IntelliJ IDEA, and Eclipse.

Leverage AWS AppSync and GraphQL in your mobile app development workflow. Learn how to develop a mobile app with real-time updates and online data with offline availability.

Serverless adoption is growing rapidly. Developers can stay sharp by learning about serverless applications. This course focuses on Kinesis, an AWS serverless service.

Learn how to leverage DynamoDB, the high-performance NoSQL database solution hosted on the AWS cloud. This course covers planning, proper data modeling, coding, and support.

Scale across multiple AWS regions for high availability and faster response times. Learn how to set up multi-region load balancing with Amazon Route 53.

Securely manage access to AWS resources and services with AWS Identity and Access Management (IAM). Learn how to use IAM to manage user accounts, groups, roles, and permissions.

Learn how to leverage Lambdas to simplify the implementation of PayPal payment processing.

Learn how to leverage RDS (relational databases) for MySQL Database with Lambdas.

Learn how to securely store and retrieve data with Amazon Simple Storage Service (S3), one of the most popular and reliable service offerings in Amazon Web Services (AWS).

Learn how to use AWS Simple Email Service (SES), the cloud-based email delivery service, for a cost-effective and simple way to reliably send emails to your users.

Are you unclear about how to best work with the messaging, queueing, and workflow services offered by AWS? If so, this course can help. Join Jeremy Villeneuve as he shines a spotlight on three key AWS services—Simple Workflow Service (SWF), Simple Queue Service (SQS), and Simple Notification Service (SNS)—and how they can help you effectively handle complex workflows. Since each service was designed to address a specific methodology of the messaging/queueing/workflow model, Jeremy spells out the key differences in methodologies so you can ensure you're using the right tool for the right job. Along the way, get hands-on experience with SQS and SNS, and learn how to refactor an existing application that tracks user state within a database table to a workflow model provided by SWF.

Learn how to use AWS Step Functions to quickly design and run serverless workflows that allow you to coordinate multiple AWS services.

Learn how to establish continuous delivery and automate processes with Amazon Web Services (AWS). Review topics in the first domain of the AWS Certified DevOps Engineer exam.

Learn tools, best practices, and design patterns for effective application scaling (elasticity) and high availability for applications running on the AWS cloud.

Learn about instrumenting production AWS applications. Explore topics from the Monitoring Metrics and Logging domain of the AWS Certified DevOps Engineer – Professional exam.

Get tips and tricks for optimizing performance as an AWS DevOps engineer. Learn how to measure performance and optimize network traffic, compute (EC2), and storage services.

Learn best practices for security, governance, and validation. Explore topics in the third domain of the AWS Certified DevOps Engineer exam: Security, Governance, and Validation.

Leverage your existing programming skills to deploy infrastructure. Explore a real-world architecture, and see how to write the code to deploy it using AWS CDK and Python.

Take a deeper dive into machine learning with Amazon Web Services (AWS). Learn how to approach common machine learning tasks using key techniques.

Get bite-sized tips for working more efficiently with some of the most essential services in Amazon Web Services (AWS), the popular cloud platform.