Ultimate Agentic AI for Event-Driven Architecture

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 by giving a 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.
● Implement end-to-end ML workflows from data preparation through cloud deployment with production confidence.
● Leverage ChatGPT and GitHub Copilot to accelerate machine learning development and debugging workflows.

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

Bhavesh Shah is a Senior Principal Software Engineer and Tech Lead with 27 years of experience architecting, designing, and delivering enterprise Java, microservices, cloud, and web-based product solutions. He has a proven background in product development at iCIMS and IBM among others, with deep expertise in Java, Spring, RESTful services, SQL, Kafka, AWS, distributed systems, Agile delivery, and performance engineering.

Jasdeep Singh Bhalla is a Senior Software Engineer at GoDaddy, specializing in AI-driven cloud governance, distributed systems, and observability. With over a decade across GoDaddy, Electronic Arts, and Yahoo, he has architected mission-critical AWS platforms powering high-volume, low-latency global services, including AI governance systems enforcing compliance across thousands of AWS accounts.

Krishna Kandi is a senior software engineer and architect with more than two decades of experience specializing in the design, modernization, and secure architecture of large-scale distributed systems in regulated FinTech and telecom environments. He is currently a Senior Software Engineer at Convoke, where he works on event-driven and data-centric architecture for synchronization and reporting systems that support regulated workflows.

About the Technical Reviewer

Anuj Ashok Potdar is an accomplished software engineer and researcher with a robust background in designing scalable Java microservices, event-driven architectures, and distributed systems. Emphasizing enterprise systems security, he explores the intersection of Trustworthy AI and Agentic AI frameworks, focusing on securely deploying autonomous agents within complex cloud ecosystems. Anuj brings extensive industry experience engineering high-impact applications, having previously driven critical technological initiatives at global leaders like Fractal Analytics and Ingram Micro.

Currently, serving as a Senior Software Engineer at Kayak, Anuj solves complex challenges for Kayak’s business by architecting highly efficient frameworks that empower engineering teams. Deeply committed to the computing community, his research is featured in published book chapters with Springer and Wiley, exploring trustworthy Machine Learning (ML) and Cloud evolution.

Furthermore, he is a recognized technical author, ranking as the #1 AI and #1 Programming writer on HackerNoon. An inductee of The Order of the Sword & Shield National Honor Society and an IEEE Senior Member, Anuj holds a Master of Science in Computer Science from Northeastern University.