Use the Python version of Google's agent development toolkit to quickly develop AI-powered agents with diverse workflows.

Ask about past work. Look at the apps or websites they’ve built. If they’ve handled something like yours before, they’ll be ...

AI is reshaping careers. Here’s why teens need to build AI skill stacks now—combining technical, creative, and human ...

Google’s cloud-based, AI-assisted development environment offers three different modes of interacting with the company’s Gemini AI model.

But under the hood, it’s far more powerful than that. If you're only using it to brainstorm ideas or edit emails, you're missing out on some seriously impressive hacks that can save you time, simplify ...

Amazon's development environment combines specifications, automation, and contextual knowledge to bring more structure to complex software projects.

Python is one of the most approachable languages to learn, thanks to its object-oriented-first approach and its minimal ...

The Artificial Intelligence Engineering extension programme offers master’s students the opportunity to learn the basics of ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

One of BigQuery's biggest differentiators is its native integration with Vertex AI, Google's AI development platform. This eliminates the need to move data between different environments, a process ...

Modern AI attacks require runtime guardrails capable of spanning application, container and node/host runtime environments comprehensively.

11. Open Platform for Enterprise AI (OPEA) OPEA is a framework that can be used to provide a variety of common generative AI ...