Ultimate Agentic AI for Event-Driven Architecture: Build Autonomous AI Agents with AWS EventBridge, Lambda, Step Functions, Amazon Bedrock, RAG, OpenSearch, and DynamoDB (English Edition)

Build Event-Driven Systems That Can Think Beyond the Code.

Key Features
● Get a free one-month digital subscription to www.avaskillshelf.com.
● End-to-end agentic event pipeline engineering on AWS using EventBridge, Lambda, and Amazon Bedrock Agents.
● Multi-agent workflow orchestration with Step Functions, human approval gates, and role-based agent architectures.
● Production-grade agentic systems with durable memory, RAG pipelines, self-healing workflows, and governance controls.

Book 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.

The second half takes production a notch higher. Autonomous cloud operations, self-healing remediation, agent observability, adversarial testing, governance for bounded autonomy, and cost management at scale are each taught with the depth they deserve. By the end of the book, you will have the architecture, the patterns, and the production discipline to run agentic AI systems that hold up under real load!

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
Index