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Episode 1 of 8-part series on Amazon Bedrock AgentCore - Introduction In this introduction, you’ll learn about Amazon Bedrock AgentCore, AWS’s fully managed service for building, deploying, and operating secure AI agents at scale. We cover: An overview of Amazon Bedrock AgentCore and its purpose as part of the Amazon Bedrock ecosystem.

Join us for a technical deep dive with Piyali Kamra, Senior Solutions Architect at AWS, as we dive into the powerful world of agentic AI using Strands Agents — a modern, flexible framework that enables developers to orchestrate intelligent workflows faster than ever. In this session, we’ll introduce what Strands Agents are and how they operate within the broader agentic AI ecosystem.

Extend Lambda's operational simplicity to run functions on a wide range of EC2 compute instances. Unlock specialized workloads and drive cost efficiency. Access the extensive EC2 instance catalog and capacity options to best suit your diverse workloads. Lambda Managed Instances handles all infrastructure tasks—from instance lifecycle, OS and runtime patching to built-in routing, load balancing, and auto scaling based on your selected scaling parameters.

Apache Spark on AWS Glue, Amazon EMR, and Amazon SageMaker enhances the optimization of large-scale data processing workloads. These include faster read and write throughput, accelerated processing of common file formats, and expanded Amazon S3 support through the S3A protocol for greater flexibility in write operations. In this session, we'll explore recent enhancements in Spark for distributed computation and in-memory storage to enable efficient data aggregation and job optimization.

🛠️ Spec Driven Development Best Practices with Kiro | How to Build Like AWS | E4 Are you tired of vibe coding your way into a mess? In this episode of **How to Build Like AWS**, we dig into one of the most powerful shifts in AI-assisted development: **spec-driven development with Kiro**. The AWS PACE team joins us to break down how they build real customer prototypes — fast — and why having a spec isn't just good practice, it's a competitive advantage.

AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) Trn3 UltraServers, powered by Trainium3 — our fourth-generation, first 3nm AWS AI chip purpose-built to deliver the best token economics for next-generation agentic, reasoning, and video-generation applications. Each AWS Trainium3 chip delivers 2.52 PFLOPs of FP8 compute, boosts memory capacity by 1.5×, and increases bandwidth by 1.7× over Trainium2 — now providing 144 GB HBM3e memory and 4.

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Most teams aren’t failing at Kubernetes itself — they’re failing at everything around it: Ingress and load balancers Security after the fact Engineers stuck on ops instead of product Now layer AI/ML workloads on top? Manual ops collapses. Automation isn’t optional — it’s the only scalable model. That’s the shift #AmazonEKSAutoMode is built for. @TechWorldwithNana

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In a landscape of rapid AI evolution and daily headlines, senior leaders need clarity on what Agentic AI means for their business. This session cuts through the noise to provide a practical understanding of autonomous AI agents and their strategic implications for your organization. We will demystify Agentic AI and focus on what matters most to leaders. We will share how both management and architecture models will need to evolve to get value out of the autonomous AI systems.

Watch Matt Wood, Chief AI & Technology Officer at AWS, recap the biggest announcements from the AWS New York Summit 2026 keynote in just a few minutes. This year's keynote introduced a simple idea: agents create compounding momentum. The more you use them, the better they get. The better they get, the more you trust them. And the more you trust them, the more you hand off.

Amazon Connect transforms routine interactions into memorable moments by seamlessly embedding AI across every customer touchpoint - built from the ground up as a unified solution that's been cloud and AI-native since day one. By driving seamless coordination between human and AI agents, it preserves context across every interaction to drive differentiated customer experiences.