Search AWS Educational Content

The future of automotive manufacturing is intelligent, adaptive, and powered by AWS. In this demo, we explore how physical AI — inspired by the innovations behind Amazon Robotics — is transforming factory floors, enabling automakers to build manufacturing environments that sense, learn, and respond in real time. AWS provides the AI and cloud foundation that makes physical AI possible at scale.

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/amazonq-developer-authentication-errors The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Shailaja shows you how to troubleshoot Amazon Q Developer authentication errors in your IDE.

Discover Bloomberg’s vision for an AI-driven content pipeline designed to transform natural-language queries and multimodal inputs into video content. This session outlines how Bloomberg aims to unify high-speed discovery and content assembly across audio, video, and text using semantic search patterns, OpenSearch, and Amazon Neptune.

Enhance your Lambda development experience with Hono, a TypeScript-friendly framework that brings familiar web patterns to serverless functions. This lightweight framework enables clean, intuitive routing while leveraging Lambda's full scalability potential. This lightning talk demonstrates how Hono's unified router simplifies development, reduces cold-start times, and complements existing AWS tooling.

In this inspiring follow-up story, we revisit Khalil Adib, who we first met as an AI Engineer at Firemind. Since then, Khalil's rapidly advanced his career, earning a promotion to Senior AI Engineer in just 15 months - a testament to his expertise in this fast-moving field. Watch as Khalil shares how he's navigating the evolving AI landscape, his approach to staying current with rapidly changing technologies, and how he's grown into his senior role.

In this episode, we sit down with Lawrence Fong, Director of Digital and IT at Cathay, as he reveals how one of Asia's premier airlines is leveraging AI and machine learning to transform every aspect of their operations. Drawing from his 30+ years of experience at Cathay Pacific, Lawrence shares practical insights on building customer-centric digital transformation, fostering innovation culture, and managing change in the volatile aviation industry.

Physical AI is redefining how intelligent systems perceive, reason, and act in the real world — from robotic warehouses and smart factories to autonomous fleets and industrial operations. But building systems that can truly operate autonomously requires more than powerful models — it demands intelligent orchestration. In this session, we explore how NVIDIA NeMo, Amazon Bedrock AgentCore, and Strands Agent to power the next generation of Physical AI automation

INSERT DESCRIPTION HERE Learn more about AWS events: https://go.aws/events Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4 ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally.

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/bedrock-automatically-sync-data The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. AMAN shows you how to automatically synchronize your data to an Amazon Bedrock knowledge base. Subscribe to AWS: https://go.

How do you measure the cost of innovation? At Netflix, a "winning" A/B test can create hidden cloud infrastructure costs that offset its business value. This session details our strategy for connecting product experiments to their infrastructure costs. We'll share our framework for identifying an experiment's impact on our cloud systems and show how we translate that impact into a projected AWS cost. Learn how this enables our teams to make smarter, more cost-aware product decisions at scale.

Quick chat agents are AI-powered conversational interfaces that provide instant access to your organization’s knowledge base. Quick offers two types of chat agents - a general chat agent to get answers to your questions related to data across your organization, or custom chat agents that you can create and share by restricting access to specific data sources and actions and adding specific instructions for an even more contextual experience, specific to your team or organization.

AI is driving log volumes to grow 30% YoY. Amazon OpenSearch Service combines columnar format and inverted index technology to support both analytical queries and log investigations in a single managed experience. Reduce your data footprint by up to 70%, get analytical queries up to 2x faster, and achieve up to 4x better price-performance — all through one managed service without separate clusters or export pipelines. Try it today: https://go.aws/3R9dH3i Subscribe to AWS: https://go.