What you'll learn

Many teams have built LLM agents that work in demos but break under real-time pressure: missing webhooks, duplicating actions, racing on shared state, and failing audits. In this course, Event-driven Agentic AI, you’ll learn to design, build, and operate real-time, event-driven agentic systems. First, you’ll explore the foundations of event-driven architecture and why it matters for autonomous agents, including common event sources and high-value use cases. Next, you’ll discover architectural patterns and frameworks: event buses, such as Event Grid, and pub/sub, workflow orchestration, such as Durable Azure Functions. You will also learn strategies for state consistency, retries, and idempotency. Finally, you’ll learn how to implement, test, observe, and secure production-grade agents with tracing/metrics/logs, guardrails, and auditability. When you’re finished with this course, you’ll have the skills and knowledge of event-driven agentic systems needed to deliver reliable, low-latency, and auditable automation at scale.