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Video course · 8 chapters · 547 min · certificate

Production-Ready AI Agents: Microservices, LangChain & Node/TS

Build a B2B AI agent platform the production way: an API gateway and microservices in Node/TypeScript, auth and notification services, secure authentication, a task service with a memory agent, and tool-using sub-agents built with LangChain and LangGraph.

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What you'll learn

  • Design a microservices system behind an API gateway
  • Set up a Node/TypeScript project with Docker
  • Build auth and notification services
  • Secure the authentication flow
  • Build a task service with a streaming memory agent
  • Create tool-using B2B sub-agents with LangChain

Chapters

8 chapters · 547:06
  1. 5:36 01Intro Members What we're building A B2B platform for creating sales, support, lead-qualifier and conversational agents.
  2. 4:01 02Architecture Members System overview Requests go through an API gateway, the entry point to all other services.
  3. 3:01 03Setup Members Prerequisites and project setup What you need to know, LangChain and LangGraph basics, human-in-the-loop, and setting up the project.
  4. 64:32 04Architecture Members Microservices architecture crash course Service communication, REST versus messaging, packaging and running services in Docker.
  5. 91:03 05Services Members Auth and notification services Building the auth service and notification service, env files, ports and Docker data.
  6. 12:50 06Security Members Authentication flow and security How requests get authorized across services, and fixing auth errors.
  7. 233:05 07Agents Members Task service and memory agent Building the task service and converting a streaming agent into a memory agent.
  8. 132:58 08Agents Members B2B sub-agents with tools Creating sub-agents with tools: a B2B website conversational agent that does only its job.