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In this episode, you'll explore the operational side of GenAI: cost optimization, troubleshooting approaches, and monitoring best practices. We'll work through practice exam questions that test your knowledge and wrap up with final exam tips and insights from real-world operational experiences to help you prepare for certification success. Resource links: - Monitoring the performance of Amazon Bedrock: https://docs.aws.amazon.com/bedrock/latest/userguide/monitoring.

For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: https://repost.aws/knowledge-center/rds-mysql-cross-region-replica The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more.

Learn how to build production AI agents in TypeScript with the Strands Agents SDK. Erik Hanchett walks through the new Strands Agents TypeScript SDK. See how to build type-safe AI agents that run in Node.js and the browser with just a few lines of code. Learn how to add custom tools, connect to multiple model providers, and orchestrate multi-agent workflows. Discover why TypeScript developers no longer need to reach for Python to build production agents on AWS.

Optimal operational practice defines how to handle inevitable incidents and recover quickly. What about the aftermath? How do we ensure that the true root cause is tracked down and that effective preventive actions are planned for implementation? How do we turn every incident into an organization-wide learning opportunity? How do the shared responsibility model and third-party software vendors come into play?

Discover how to architect and enhance AI development workflows on AWS with powerful third-party agents and tools from AWS Marketplace using Amazon Bedrock AgentCore Gateway and Runtime. This session walks through real-world use cases for third-party agents and how to efficiently source and deploy AI development tools the moment you need them.

Cautio is a fleet safety platform helping India’s public transport and commercial operators drive safer, smarter mobility through AI-powered dashcams and real-time insights. In this video, Co-Founder and CTO Pranjal Nadhani shares how Cautio uses AWS to build a fault-tolerant, distributed platform that supports high-volume data ingestion and enables faster innovation.

Your serverless app is built. Your API already works. Now make it talk. What if adding an #AI interface to your app was as simple as pointing an agent to your existing API? No new infrastructure to babysit. No rewrite. No "migration project." Watch this episode of Databases for AI: Build a conversational #AI agent on Amazon Bedrock AgentCore Connect the agent to an existing serverless API with #Lambda & #AuroraDSQL — a serverless distributed SQL database that you never have to tune or...

For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: https://repost.aws/knowledge-center/athena-create-use-partitioned-tables The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Bhumika shows you how to create and use partitioned tables in Amazon Athena. Subscribe to AWS: https://go.

This is the third video in the Automated Reasoning checks in Amazon Bedrock Guardrails tutorial series. This video explains the process of refining an Automated Reasoning policy to address validation issues such as ambiguities, untranslatable portions of text, and impossible rules. Learn more: Technical documentation: https://go.aws/4mqqSqq Github code samples: https://go.aws/4m0grdx Console access: https://go.aws/3H6Gj8r News Blog: https://go.aws/4ldq33p Subscribe to AWS: https://go.

Security leadership has never been just about technology, but in the age of AI, the stakes for getting it right have never been higher. George Gerchow, Chief Security Officer at Bedrock Data, brings a candid and hard-won perspective on what it takes to build high-performing security teams and lead with purpose in a rapidly evolving threat landscape.

🔍 In this episode of Built on AWS, discover how Honeycomb AI transforms observability through AWS integration. Learn how their innovative Model Context Protocol (MCP) Server delivers powerful insights for modern applications. This series showcases innovators who are building groundbreaking solutions on AWS.

See how Workday built an AI-powered Sales Companion on AWS to help teams move faster and work smarter. By putting people at the center of innovation, they reduced prospecting cycle time by 75% and saved five hours per rep each week. Discover how human-centered AI is driving real business impact. Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.