integration
7 free lessons tagged integration across AI, Programming. Each one is a short sequence of focused steps with narration and a five-question quiz at the end — take them in any order, no signup required.
Gateway, Tools, and the M by N Problem
An agent is only as useful as the things it can do, and connecting many agents to many tools is a multiplication problem that gets expensive fast. This lesson covers what AgentCore Gateway converts into tools and how, the semantic search that stops tool overload, the two directions of authentication, and the managed sandboxes for code and browsing.
When It Outgrows the Tool, and Who Owns It Meanwhile
Automations become infrastructure without anyone deciding they should. This lesson covers shadow automation and why banning it fails, documenting a flow so it survives its author, the signals that a workflow has outgrown no-code, and how to migrate without a rewrite.
Building Flows That Survive Contact With Reality
The concrete patterns that separate an automation that works from one that keeps working: validating input at the boundary, retrying only what is safe to retry, handling rate limits and batches, testing something you cannot easily test, and keeping secrets out of the flow.
Why Automations Break, and What That Costs
No-code automation makes building easy and running reliably hard. This lesson covers what these platforms actually are, the failure modes that appear once something runs unattended, why partial failure is worse than total failure, and the idempotency problem behind most real damage.
Integration Engines and the Interoperability Career
The hub that makes healthcare data flow: how an integration engine like Mirth Connect routes, filters, and transforms messages between systems, how it compares to a general dataflow tool like Apache NiFi, the other standards you will meet, and the concrete skills to break into interoperability engineering.
Healthcare Interoperability and the HL7 v2 Standard
Why hospital systems cannot talk to each other by default, and the standard that fixes it. Covers the four levels of interoperability, the HL7 family, and the anatomy of an HL7 v2 message: segments, fields, and delimiters. The foundation for a career in healthcare integration.
Model Context Protocol: The Open Standard for AI Tool Integration
A deep dive into MCP — Anthropic's open protocol for connecting LLMs to external tools, data, and prompts. Covers JSON-RPC transport layers, the three core primitives, capability negotiation, and how to build a working server from scratch.

