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No manual setup. No node management. No wasted time. 🤯 Deploy your app in minutes with Amazon EKS Auto Mode.

Move over console and IaC -- there's a new kid on the block. Github repo - https://github.com/awslabs/mcp Sign up for my Newsletter to receive regular AWS updates AND get a FREE PDF that includes 5 AWS Project Ideas: https://beabetterdev.com/aws-project-ideas-pdf/ 📚 My Courses 📚 AWS Learning Accelerator - Learn AWS Through a Hands On Project - https://courses.beabetterdev.com/courses/aws-learning-accelerator AWS Step Functions Masterclass - https://courses.beabetterdev.

Join AWS executives Tony Chor (VP, Builderworks) and Becky Weiss (VP, Distinguished Engineer) as they discuss implementing generative AI in enterprise software development. This conversation reveals how organizations are finding unexpected value in AI-powered "outer loop" tasks like documentation and ticket management, rather than just code generation.

Balkan breakfast meets AI wisdom! Learn essential LLM best practices: prompt engineering, output validation, and smart model selection. Build better AI apps with Amazon Bedrock! #AmazonBedrock #generativeAI #CloudComputing #MachineLearning #Shorts

Join us for an insightful conversation with Robb Simpson, Group Digital & Data Director at Lion, one of Australasia's most iconic beverage companies, as we explore how a century-old brewery is leading the charge in B2B digital transformation and data commercialization. Watch full episode here: https://www.youtube.com/watch?

Running Java AI Agents on the cloud has never been easier than with Amazon Bedrock AgentCore Runtime! Check out this quick demo of deploying a Spring AI agent to the container-based, serverless, agent runtime!

Automated Reasoning checks in Amazon Bedrock Guardrails is the first and only generative AI safeguard that uses logical verification techniques to ensure the accuracy and consistency of the information generated by foundation models, preventing factual errors and hallucinations. It helps deliver up to 99% accuracy at detecting correct model responses, providing provable assurance, and minimizing model hallucinations and ambiguity. Learn more: Technical documentation: https://go.

In Formula 1, victories depend on turning millions of data points into winning decisions. Organizations can apply this same precision to unlock value from underutilized data assets. Drawing from F1's model, we present a three-part framework for data excellence: customer-focused decisions, dynamic people- powered strategies, and market-responsive structures. Learn practical approaches to evolve your data strategy into a business advantage in the AI era. Learn more: More AWS events: https://go.

Tired of "vibe coding"? Transform your workflow with Amazon Q Developer CLI's design-driven prompts! Create design docs, roll back changes, and build step-by-step—even for cat websites! 😺 #AWS #generativeAI #AmazonQ #Developer #CloudComputing

Many enterprises struggle to move agentic AI beyond proof-of-concept. Discover how Amazon Bedrock AgentCore and Claude are making it easier to deploy production-ready AI agents at scale. Learn more: 📖 Read the full blog post: https://go.aws/4rmUcSj 🔧 Get started with Amazon Bedrock AgentCore: https://go.aws/4nJmvrP 🤖 Explore Claude Sonnet 4.5: https://go.aws/47o75lQ Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.

Amazon SageMaker Unified Studio is a single data and AI development environment to use all your data and tools for analytics and AI. Discover your data and put it to work using familiar AWS tools for model development, generative AI, data processing, and SQL analytics. Work across compute resources using unified notebooks, discover and query diverse data sources with a built-in SQL editor, train and deploy AI models at scale, and rapidly build custom generative AI applications.

See how Amazon Bedrock and Model Context Protocol (MCP) enable seamless multi-agent collaboration in an energy efficiency management use case. A supervisor agent coordinates between sub-agents and an MCP tool for web search with Perplexity—all in one intelligent chat experience. Code on GitHub → https://go.aws/42mBnEb Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.