Ultimate Agentic AI for Event-Driven Architecture

Description

Your Architecture Can Handle Known Events. What Handles the Unknown?

 

Cloud teams have mastered event-driven architecture. What they have not mastered is what happens when an event arrives that no handler was written for. Ultimate Agentic AI for Event-Driven Architecture answers that question by putting autonomous AI agents inside your event pipelines using AWS services built for production scale.

 

Starting from EventBridge and Lambda, the book assembles the full agentic stack through event contracts for multi-agent coordination, Step Functions orchestration with human approval gates, Amazon Bedrock Agents as the reasoning layer, durable memory in DynamoDB, and RAG pipelines grounded in OpenSearch and Aurora pgvector. Every component is production-grade, and every pattern is traceable.

 

What you will learn

● Build high-performance ML models using LightGBM and TensorFlow for real-world business applications.

● Design hybrid AI architectures combining gradient boosting and deep learning for complex problem solving.

● Optimise model accuracy through feature engineering, hyperparameter tuning, and explainable AI methods.

● Develop production-ready ML pipelines using MLOps, Docker, Kubernetes, and automated CI/CD practices.

 

Table of Contents

1. From Event-Driven Microservices to Agentic Systems

2. Core AWS Building Blocks for Agentic Architectures

3. Designing Agent Communication Through Events

4. Event-Driven Agent Orchestration with Step Functions

5. Multi-Agent, Role-Based Architectures

6. Bedrock Agents for Reasoning and Tool-Driven Actions

7. Agent Memory and Context in Event-Driven Systems

8. RAG in Event-Driven Architecture

9. Autonomous Cloud Operations and Self-Healing Agent Workflows

10. Productionizing Agentic Event Systems

11. Scaling, Optimization, and Future Trends in Agentic Event-Driven Systems