Search AWS Educational Content

While most VMware workloads can be easily migrated to the cloud, some need to stay on-premises due to application interdependencies, data residency requirements, or timeline constraints. Join this session to learn how AWS hybrid and edge services like AWS Outposts and AWS Local Zones allow you to migrate in place and modernize at your own pace.

Strava built its Athlete Intelligence feature using Claude by Anthropic in Amazon Bedrock, providing tailored insights safely in a friendly brand voice to help athletes interpret their activity data. Using Amazon Bedrock Guardrails, Strava is able to detect factual errors, filter harmful content, and mitigate undesirable topics—helping Athlete Intelligence deliver positive and encouraging insights. Case Study: https://go.aws/4qOXlK3 Subscribe to AWS: https://go.

The NBA is launching a new advanced stats program, “Inside The Game, Powered by AWS” to bring fans closer to the game of basketball. During every NBA game, billions of data points are captured, such as a player’s scoring performance on every shot, to their skeletal pose location on the court 60 times a second. This data is used in Artificial Intelligence (AI) and Machine Learning (ML) models to create advanced stats and insights that go beyond the usual box score.

Autonomous agents create workload patterns traditional databases can't handle. Migrate to Amazon RDS for the availability and throughput you need, and direct access to AI services. To learn more, please visit https://go.aws/data-migration-awareness 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.aws/contact Explore more: https://go.

CloudWatch Network Synthetic Monitor provides proactive, active monitoring of hybrid network performance, including packet loss and round-trip latency, for traffic between your Amazon VPC and any configured destination IP address, whether on-premises, third-party cloud, or beyond.

Data engineers face critical time sinks: writing code to build analytics pipelines from scratch and upgrading Apache Spark versions. In this lightning talk, discover how AWS is addressing both challenges with AI agents that accelerate development cycles. Learn how the Amazon SageMaker Data Agent transforms natural language instructions into executable SQL and Python code within SageMaker notebooks, maintaining full context awareness of your data sources and schemas.

Chalo Mobility is transforming how millions of people in India travel within cities by making buses more reliable. In this video, Vinayak Bhavnani, Cofounder and CTO of Chalo Mobility, shares how the team uses Amazon Web Services (AWS) to deliver real-time tracking, digital payments, and AI-powered operations that reduce wait times, improve bus reliability and increase ridership for the bus operators.

Chapter 6 of the Building AI Agent Harnesses with Strands Agents course. Individual tools solve individual problems. But some capabilities require multiple tools working together with specific hooks and prompt instructions to function correctly. That's what a plugin is: a packaged bundle of tools + hooks + system prompt additions that you attach to an agent as a unit. Think of it this way: a "memory" capability isn't just a save_memory tool.

Want to learn how Amazon S3, one of the world's largest distributed systems, manages software deployments at scale? This session reveals practical insights into our deployment tools, feature flag strategies, and progressive rollout techniques that enable reliable updates at massive scale. We'll share real-world lessons learned from critical deployments, including how we handle rollbacks, manage dependencies, and monitor service health during updates.

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/dynamodb-conditionalcheckfailedexception The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Abhishek shows you how to troubleshoot the condition check failed error when updating records in Amazon DynamoDB.

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/ecs-api-common-errors] Srushti shows you how to troubleshoot error messages that occur with API calls in Amazon Elastic Container Service.

Building autonomous AI at scale with Amazon Bedrock 2025 marks the breakthrough year for autonomous AI systems, from vibe coding to specialized assistants and super agents disrupting multi-billion dollar industries. Amazon Bedrock empowers disruptive startups to rapidly prototype autonomous applications and agents, seamlessly scaling from proof-of-concept to production systems serving millions of users.