Creating an AI agent using Amazon Bedrock involves configuring foundation models, defining tools, and deploying an agent capable of interacting with users and systems. Below is a step-by-step guide with visual references and a clear explanation . Step 1: Understand Amazon Bedrock Architecture Core components: Foundation Model (FM) – Claude, Titan, Llama, etc. Agent – Orchestrates reasoning and actions Knowledge Base – Connects to your data (S3, PDFs, databases) Action Groups – Lambda functions for performing tasks Client Application – Web app, chatbot, or API Step 2: Enable Amazon Bedrock To enable the Amazon Bedrock - Login to AWS Console Search → Amazon Bedrock Click → Model access Enable models like: Claude (best for agents) Titan Llama Step 3: Create Knowledge Base (Optional but Recommended) A knowledge base allows agents to use your custom data. To create a Knowledge Base - Steps: Go to Bedrock Console Click → Knowledge Bases ...