Hands-on tutorials for Claude Code, AI agents, cloud and system design
AWS Guidance for Enterprise Agentic AI Platform on AWS is an opinionated, deploy-ready reference platform published in the official aws-solutions-library-samples org for running production AI agents on Amazon Bedrock AgentCore. The repo, authored by Mehdi Nemlaghi and Cristian Balint and released under the permissive MIT-0 license in June 2026, takes a problem that every enterprise… Continue reading
AWS Agentic AI Series · Security Deep-Dive Part of the AgentCore on AWS guide. Related: AWS AgentOps · Serverless Agentic AI Temporal policies are a new class of stateful authorization rule in Amazon Bedrock AgentCore that decide whether an agent is allowed to take an action based on what the agent has already done, not… Continue reading
AgentCore Gateway is the managed front door that turns scattered AI agent tool access into one governed endpoint. In this tutorial you will create a gateway, register a Lambda function as an MCP tool, write Cedar allow and deny rules, and read the audit record every call leaves behind. No gateway infrastructure to run, no… Continue reading
GPT-5.6 now runs on Amazon Bedrock. OpenAI’s current frontier family is available in more than 25 AWS Regions, reachable through cross-region inference profiles. This guide shows you how to enable the models, call them three different ways, read the real price sheet, and size quotas without surprises. GPT-5.6: What You’ll Learn GPT-5.6 arrived on Amazon… Continue reading
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, know when… 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 and… 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.
Continue reading