Microservices Architecture: Cloud-Native to Agentic AI

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 LearnYou will learn how to:Identify the right service boundaries using business capabilities and domain ownershipDecompose monolithic applications into independently evolvable microservicesDesign synchronous APIs, asynchronous messaging, and event-driven architecturesUse Kafka and events to reduce coupling between enterprise servicesDesign distributed data ownership and handle cross-service transactions using Saga patternsBuild resilient systems using timeouts, retries, circuit breakers, idempotency, and safe recoverySecure microservices using authentication, authorization, API gateways, zero-trust principles, and service-level controlsDesign cloud-native platforms using containers, Kubernetes, service discovery, configuration, and deployment strategiesBuild observability into distributed systems using logs, metrics, traces, correlation, and production monitoringApply proven microservices design patterns and production best practicesEvaluate architecture trade-offs and document important decisions using Architecture Decision RecordsConduct architecture reviews and identify architectural warning signs before productionExtend microservices architectures with Generative AI and Retrieval-Augmented Generation (RAG)Understand how Agentic AI and AI agents fit into modern enterprise architecturesDesign governed AI-agent interactions with enterprise APIs, tools, data, and business servicesTake architecture from business requirements through design, review, production readiness, and continuous evolutionA Complete Architecture JourneyThe course follows an evolving architecture rather than presenting disconnected concepts.

You will see ShopApp progress through:Monolith → Microservices → Event-Driven Architecture → Cloud-Native Platform → Secure & Observable Architecture → AI-Augmented Architecture → Agentic AIEach architectural capability is introduced because a real problem creates the need for it. You will see why architectures evolve—not simply what the final diagram looks like. Architecture First, Not Framework FirstThis is not another course centered around writing CRUD microservices in a particular framework.

The focus is on the decisions that remain relevant regardless of whether your organization uses Java, . NET, Python, Go, AWS, Azure, Google Cloud, or another technology stack. You will learn the reasoning behind questions such as:Where should service boundaries be drawn?

When should services communicate synchronously or asynchronously? Who owns the data? How do distributed transactions work without a shared database?

What happens when a downstream service fails? How do we secure hundreds of service interactions? How do we diagnose one failed transaction across many services?

When does Kubernetes become useful? When should you NOT use microservices? How do GenAI, RAG, and AI agents integrate without bypassing enterprise governance?

Production-Ready ArchitectureDesigning services is only the beginning. The course explores the capabilities required to operate distributed systems in production, including resilience, security, observability, deployment, data consistency, governance, architecture reviews, and production-readiness decisions. You will also learn how to recognize common architecture smells and avoid creating a distributed monolith or uncontrolled microservices sprawl.

From Microservices to AI-Native SystemsThe final part of the journey moves beyond conventional microservices. You will explore how enterprise systems can incorporate:Generative AI, RAG, enterprise knowledge retrieval, AI agents, tools, governed APIs, Agentic AI, observability, security, and human oversight. The objective is not to add AI because it is fashionable.

It is to understand where AI belongs in enterprise architecture—and where it does not. Who This Course Is ForThis course is designed for:Solution ArchitectsSoftware ArchitectsEnterprise ArchitectsSenior Developers and Technical LeadsCloud and Platform EngineersDevOps professionalsAI and software professionalsTechnology consultantsDevelopers preparing to move into architecture rolesAnyone responsible for designing or modernizing enterprise applicationsBy the End of the CourseYou will have followed a complete enterprise architecture from an initial monolithic system through production-grade microservices and ultimately into an AI-native, agent-enabled architecture. More importantly, you will have developed a reusable way of thinking:Understand → Discover → Decide → Design → Validate → Deliver → Observe → EvolveBecause architecture is not simply about drawing diagrams.

Architecture is about making deliberate decisions, understanding their trade-offs, and evolving systems safely as business and technology change.