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An AI agent without tools is just a chatbot that guesses. I added one tool to my agent and it went from making up answers to giving me real-time data. This video breaks down: → Why LLMs can't do anything useful on their own (stale training data, no access to your files, can't take action) → The "lost in the middle" problem with stuffing context into prompts → How tool calling actually works (model requests, framework executes, loop repeats) → What's inside a tool (schema, description,...

With Oracle Database@AWS you can now migrate the most demanding Oracle-based enterprise workloads into AWS. We've placed database-optimized, resilient Oracle Exadata hardware directly in AWS data centers for low-latency, high-speed, secure access to your AWS applications. This lets you bring mission-critical workloads into AWS and extend them with the capabilities of Amazon Bedrock, Amazon Q, and more.

Want to build TypeScript-powered AI apps quickly? Learn how to use Amazon Bedrock with Vercel's AI SDK and v0 to create chat applications in minutes. This tutorial walks you through setting up a simple chat app using Amazon Bedrock's API keys, connecting to Nova Premier model, and deploying to Vercel — all with TypeScript and Next.js! Check out the template here: https://go.aws/49TazPt Follow AWS Developers! 📺 Instagram: https://go.aws/49r7LZC 🆇 X: https://go.

Many enterprises want to build a culture of AI innovation and manage it at scale. Learn how a leading financial institution implemented a unified data and AI platform with built-in governance to solve this challenge. Using the next generation of Amazon SageMaker, their petabyte-scale solution enables users to discover and access data in a cloud-native marketplace then build in a unified data and AI development environment.

AI agents don't wait. They spike, burst, and scale in ways traditional search infrastructure was never designed to handle. That's why we rebuilt Amazon OpenSearch Serverless from the ground up for agentic AI and unpredictable workloads. In this video, learn how the next generation of OpenSearch Serverless delivers: ⏱️ Instant scaling — resources creation in seconds and scale to zero when idle. No downtime, no manual intervention.

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Bayer Pharmaceuticals leverages Amazon Bedrock and AWS security services to bring novel drugs and innovation targets to reality through their Pharma Drug Innovation Platform. Hear how from Vinod Das, Associate Director, Bayer Pharmaceuticals. By implementing a platform approach that combines multiple Bedrock models with security guardrails like Amazon Macie for sensitive data protection, Bayer Pharmaceuticals streamlines their drug development process while maintaining strict data...

In this video, learn how to set up your dev environment, use AWS CLI, and deploy your first app using CDK. No more console confusion - whether you're a beginner or looking to streamline your workflow, become an AWS command line pro today! Github Repo: https://go.aws/4bLzGos IAM User Setup: https://go.aws/4tfcGnG AWS CLI Install Guide: https://go.aws/4sI50dE Read more on AWS Builder Center: https://go.aws/3PJoEHN Follow AWS Developers! 🆇 X: https://go.aws/47DcaYq 💼 LinkedIn: https://go.

"🛑 Your AI agent has production access. Do you know exactly what it's allowed to do? Most teams find out where the autonomy line is after something goes wrong. This stream is about how to draw that line first. The problem isn't the model — it's that nobody defined the rules of engagement before deployment. Autonomous agents are not an AI problem. They're an architecture problem.

Physical AI is changing robotics by enabling systems to interact intelligently with the world, but development requires extensive compute, simulation, and deployment resources. This session shows how NVIDIA’s Isaac platform combined with AWS allows end-to-end implementation: robots are trained and validated in high-fidelity simulated environments using Amazon EC2 GPU instances, with large-scale workloads orchestrated via AWS Batch and Isaac Lab for parallel experiments.

Ready to experience the power of debugging network issues through natural language queries? Discover how AWS Cloud WAN's Model Context Protocol (MCP) server leverages Generative AI to redefine network operations. In this session, learn how to use common, complex scenarios including trace network paths using natural language queries, analyzing AWS Cloud WAN Core Network policies through simple prompts, and troubleshoot global routing with AI-assisted intelligent analysis.

Building on AWS but your end users aren't near a Region? AWS Local Zones extend AWS infrastructure to 30+ metros worldwide, bringing compute, storage, networking, and AI/ML services closer to where you need them. Deliver single-digit millisecond latency, meet data residency requirements, accelerate legacy migrations, and run AI/ML workloads without building your own data centers.