Is your Java code secure? Here are 18 changes developers can make to eliminate vulnerabilities and adopt safer methods for stronger, resilient application code.

The features and use cases for Amazon SageMaker, as well as how to utilize its advanced machine learning tools for building, training, and deploying AI models.

Learn about AI use in state and local government, including AI maturity, barriers to AI adoption, most used AI platforms, and effective upskilling methods.

It’s time to rethink engineering metrics and debunk myths like "ghost engineers." Learn how to measure productivity, foster collaboration, and build healthier software teams with actionable insights ...

Tech changes fast. The orgs that can adapt and innovate in the face of change come out ahead. So what should your teams expect in 2025? What technologies should they learn? And what tech skills will ...

Choosing a public cloud provider is a big decision. This course will teach you how the Microsoft Azure and Amazon Web Services (AWS) clouds are similar and different. Which public cloud service ...

This course will teach you how to build an Angular and ASP.NET Core application that can perform create, read, update and delete (CRUD) operations using Entity Framework Core. Learn how to build an ...

A step-by-step guide on how to use the Serverless Framework to deploy Lambda functions, including the set up and testing phases.

Software capitalization is an accounting practice where development and software costs are treated as assets rather than expenses.

Learn how to safeguard your machine learning workflows in Amazon SageMaker AI with proven security best practices across data protection, IAM, and more.

Discover the best generative AI code generation tools, how they work to make your team more efficient, and potential risks.