Join AWS at React India 2025 for hands-on challenges, cloud exploration, and exclusive swag while connecting with the vibrant Indian React developer community!

#awsscdtirupati This is a modern, responsive landing page showcasing AWS Q Developer CLI - an AI-powered command-line tool that transforms how developers interact with AWS services.

Learn how to implement custom POST method failover using Lambda@Edge and API Gateway to ensure high availability for critical API operations without requiring client-side changes. CloudFront's built-in failover doesn't support POST methods, but this solution provides automatic failover with minimal latency impact and cost-effective scaling.

Study for AWS Certified Cloud Practitioner Exam (CLF-C02) with comprehensive resources, study tips & study guides created by AWS Community Hero Hiroko Nishimura

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Llamar a Delta Airlines desde Perú es un proceso sencillo para gestionar tus reservas, cambios de vuelo o consultas generales [+51-16-409-017].

GraphRAG revolutionizes AI knowledge retrieval by combining Amazon Neptune's graph technology with Bedrock's foundation models, delivering responses that understand not just what information is similar, but how it's all connected - making AI answers smarter and more accurate.

Description: Discover Dynomaster, an innovative learning platform that transforms DynamoDB concepts into engaging Pokémon-themed quests, making database mastery accessible and fun for developers of all levels.

The AWS Certified AI Practitioner Exam is a foundational-level certification introduced by AWS to validate a person’s understanding of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI)—specifically in the context of AWS cloud services.

Conoce el Modelo de Madurez en Seguridad de AWS y sus cuatro fases, una guía práctica para fortalecer tu seguridad en la nube con un enfoque estratégico y escalable.

Components Explained

How I built a real-time gaming analytics platform and learned to make AI 85% faster

Amazon Q Developer streamlines the process of creating AWS WAF configurations by automatically generating WAF rules and rule groups, explaining rate-based rules, and providing ready-to-use CLI commands for CloudFront and Application Load Balancer (ALB) integrations. This AI-powered approach transforms web application security from a specialist task into an accessible process that helps teams quickly deploy enterprise-grade protection against SQL injection, XSS, and DDoS attacks.

Create a post on AWS Builder Center chronicling your conquest of the second Rift Rewind Challenge!

From Challenge to Production: Advanced League of Legends AI Analytics with AWS

Learn how to deploy production-grade AI agents using Amazon Bedrock AgentCore with a complete infrastructure-as-code template. This guide covers full-stack deployment automation, secure authentication, modern frontend frameworks, and containerized agent runtimes—enabling you to go from concept to running agent in approximately 10 minutes.

Using AWS tools for effective, scalable software distribution, AWS Certified DevOps Engineer Certification centers on automation, CI/CD, and cloud management.

In the world of cloud infrastructure, automation is paramount. Infrastructure as Code (IaC) tools are the backbone of modern cloud operations, enabling consistent, repeatable, and version-controlled deployments. When working within the AWS ecosystem, two titans dominate the IaC landscape: AWS CloudFormation and Terraform.

AWS Console Login အတွက် (root user, IAM user, IAM user CLI or IAM Identity Center user, IAM Identity Center user CLI) အသုံးပြုရပါတယ်။

if you take training for the Agentic AI Certification Course, it will offer you the best career opportunities that matter a lot, and what this offers is necessary to understand

What if you could build your next serverless application without a single Lambda function? Let me introduce you to the #functionless model.

Hackathon Challenge #7: Use your AI agent to create a fully functional chatbot in your AWS Amplify Webpage.

Join us for an in-depth exploration of how to build sophisticated game recommendation systems using AWS services. We'll demonstrate how to combine Amazon DynamoDB and S3 to create personalized gaming experiences without complex ML pipelines