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Certification

Certification in Building Production-Ready AI Agents with LangChain

Become certified in Production-Ready AI Agents. You'll prove you can build B2B agent platforms with microservices, gRPC, RabbitMQ, and three-tier memory,real infrastructure that survives actual users, not just chat demos.

Exam of 10 to 20 questionsCertificate for LinkedInIntermediate

The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

What the exam covers

2 questions from each of the 8 chapters of the course

16 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01What we're building5:36
  2. 02System overview4:01
  3. 03Prerequisites and project setup3:01
  4. 04Microservices architecture crash course64:32
  5. 05Auth and notification services91:03
  6. 06Authentication flow and security12:50
  7. 07Task service and memory agent233:05
  8. 08B2B sub-agents with tools132:58
About the course

The Production-Ready AI Agents certification is a video course that walks you through building a complete B2B agent platform using microservices, LangChain, and Node.js/TypeScript. You'll gain practical, hands-on skills that translate directly into higher income potential, a future-proof career, and the kind of adaptability that makes you a stronger engineer. If you're tired of AI tutorials that stop at a chat demo, this course shows you how to build systems that actually survive contact with real users.

This certification covers the following topics:

  • Microservices Architecture for AI Systems
  • Authentication and Security with API Gateways
  • The Agent Engine: Memory Agents vs. Worker Agents
  • Three-Tier Memory Hierarchy: Working, Short-Term, and Long-Term
  • RAG Knowledge Base for Business Documents
  • Lead Management: Turning Conversations into Revenue
  • Human-in-the-Loop Design for Building Trust
  • Observability and the Harness Tuning Loop
  • Deployment and the Demo Workflow
  • Key Design Principles and Technical Benchmarks
  • Implementation Roadmap: Where to Start