Agentic AI transforms how cloud architects build intelligent systems on AWS. Instead of writing rigid procedural code for every workflow, you delegate goals to software agents that perceive context, reason about trade-offs, and act on your behalf. This guide covers the foundations and shows how Amazon Bedrock, AWS Lambda, and AWS Step Functions bring autonomous… Continue reading
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02 – AWS Agentic AI Patterns: From Reasoning to Multi-Agent
Agentic AI patterns are the reusable blueprints that turn a generic language model into a purposeful production system. Where Part 1 covered the why, this guide maps each pattern — reasoning, retrieval-augmented, orchestrator, multi-agent — to the AWS services that bring it to life. Agentic AI Patterns: What You’ll Learn You’ll recognize the core patterns,… Continue reading
05 – AWS Serverless Agentic AI: Lambda, Bedrock, and AgentCore
Serverless AI runs agentic workloads without provisioning a single EC2 instance. Lambda, Bedrock, AgentCore, and Step Functions compose into elastic, pay-per-use architectures that scale to zero between requests. Serverless AI: What You’ll Learn Serverless AI runs agentic workloads on fully managed, event-driven AWS services instead of provisioned infrastructure: Lambda for orchestration, Bedrock for foundation model… Continue reading
10 – AWS Agentic AI Economics: Measuring ROI
Agentic AI economics compares total human costs against agent costs, introduces pay-per-outcome pricing, and gives you the ROI models to scale automation sustainably on AWS — answering when replacing human labor with agentic AI actually pays off, and where agentic AI economics tips in favor of automating. Agentic AI Economics: What You’ll Learn Agentic AI… Continue reading