How to deploy AI Agents on AWS Bedrock

View profile for Joud Awad

Principal Software Engineer | Solution Architect | AWS Cloud & DevOps Engineer | Data Engineer | Kubernetes Expert | GenAI & Machine Learning

The demand for deploying AI Agents and LLM-powered applications on the cloud is skyrocketing. Every company is racing to set up the right infrastructure to build, deploy, and scale their intelligent systems efficiently. If you’re building on AWS, one of the most powerful ways to bring your AI ideas to life is through Amazon Bedrock — a fully managed service designed to help you build, scale, maintain, and deploy foundation models and AI agent applications seamlessly. In my latest post, I break down everything you need to know to get started with AWS Bedrock — from selecting the right foundation model to integrating it into your architecture and scaling it for production. Whether you’re just exploring LLM infrastructure or preparing to deploy your first AI agent, this guide will give you the clarity and confidence to move fast while staying scalable. View post at --> https://lnkd.in/egySAYjT #AI #AWS #Bedrock #LLM #CloudComputing #AIAgents #MachineLearning

Joud Awad

Principal Software Engineer | Solution Architect | AWS Cloud & DevOps Engineer | Data Engineer | Kubernetes Expert | GenAI & Machine Learning

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Andrew Forney

Enterprise Account Manager @ Amazon Web Services (AWS) | AWS Certified Cloud Practitioner

1w

Great article! Thank you for sharing!

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