Library / Artificial Intelligence

Microservices Architecture: Cloud-Native to Agentic AI

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About this course

Modern enterprise architecture is evolving far beyond traditional microservices.

Today's architects must understand not only how to decompose a monolith, but how to design distributed systems that are resilient, secure, observable, cloud-native, event-driven—and increasingly ready for Generative AI, RAG, and Agentic AI.Microservices Architecture: Cloud-Native to Agentic AI is an architecture-first journey from traditional enterprise applications to modern, production-ready distributed systems.

Rather than focusing on one programming language or framework, this course teaches you how to think, reason, and make decisions like an architect.

Throughout the course, you will progressively architect ShopApp, an enterprise e-commerce platform that evolves from a monolith into a production-grade, cloud-native and AI-enabled architecture.

What You Will Learn

You will learn how to:

  • Identify the right service boundaries using business capabilities and domain ownership
  • Decompose monolithic applications into independently evolvable microservices
  • Design synchronous APIs, asynchronous messaging, and event-driven architectures
  • Use Kafka and events to reduce coupling between enterprise services
  • Design distributed data ownership and handle cross-service transactions using Saga patterns
  • Build resilient systems using timeouts, retries, circuit breakers, idempotency, and safe recovery
  • Secure microservices using authentication, authorization, API gateways, zero-trust principles, and service-level controls
  • Design cloud-native platforms using containers, Kubernetes, service discovery, configuration, and deployment strategies
  • Build observability into distributed systems using logs, metrics, traces, correlation, and production monitoring

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