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
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
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
RAG optimization begins before a user submits a query — at the source documents that feed retrieval-augmented generation. Document and context engineering is the discipline of writing for two readers: the human who skims the page and the embedding model that chunks it. RAG Optimization: What You’ll Learn RAG optimization is the practice of writing… Continue reading
Healthcare RAG on AWS using Amazon Bedrock, OpenSearch, and Neptune. Patient data augmentation, re-admission prediction, and talent management solutions grounded in HIPAA-eligible infrastructure.
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