Production -Ready Agentic AI for Data Engineers: Building Safe, Observable, and Reliable AI Agents on Modern Data Platforms (Paperback) (ISBN-13: 9798188295417)

Production-Ready Agentic AI for Data Engineers
Build Enterprise AI Agents with LangGraph, MCP, A2A, RAG, Databricks, and Production Best Practices

Artificial Intelligence is rapidly evolving from simple chatbots to autonomous, intelligent agents capable of planning, reasoning, collaborating, and executing complex workflows. While many books focus on AI concepts or basic prototypes, very few teach you how to build production-ready Agentic AI systems that are secure, scalable, observable, and enterprise-ready.

This book bridges that gap.

Production-Ready Agentic AI for Data Engineers is a practical, hands-on guide designed for data engineers, AI engineers, machine learning engineers, software developers, cloud architects, and technical professionals who want to design, build, deploy, and operate enterprise-grade AI agent systems.

Rather than stopping at proof-of-concept demos, you'll learn the engineering practices required to move Agentic AI into production with confidence.

Inside this book, you'll learn how to:

• Understand Agentic AI architecture and multi-agent systems

• Build intelligent AI agents using LangGraph

• Design planning, reasoning, and memory workflows

• Implement Retrieval-Augmented Generation (RAG) pipelines

• Integrate Model Context Protocol (MCP) into agent ecosystems

• Enable Agent-to-Agent (A2A) communication patterns

• Build secure enterprise AI applications

• Deploy scalable AI workloads on Databricks

• Implement observability, tracing, evaluation, and monitoring

• Apply guardrails to reduce hallucinations and prompt injection risks

• Manage long-term memory, semantic caching, and vector databases

• Orchestrate AI workflows with modern engineering patterns

• Optimize performance, latency, and operational costs

• Design production-ready APIs and deployment architectures

• Apply governance, security, compliance, and responsible AI practices

Topics Covered

• Agentic AI Fundamentals

• Enterprise AI Architecture

• LangGraph

• Multi-Agent Systems

• MCP (Model Context Protocol)

• Agent-to-Agent (A2A) Communication

• Retrieval-Augmented Generation (RAG)

• Vector Databases

• Semantic Search

• Embeddings

• Memory Architectures

• Tool Calling

• Function Calling

• Databricks AI Platform

• AI Workflows

• AI Deployment

• Production APIs

• Evaluation Frameworks

• AI Observability

• Logging and Tracing

• Security Best Practices

• Prompt Engineering

• Prompt Injection Defense

• Guardrails

• Human-in-the-Loop Systems

• Responsible AI

• Performance Optimization

• Scalability

• Cloud Deployment

• Production Monitoring

Who This Book Is For

This book is ideal for:

• Data Engineers

• AI Engineers

• Machine Learning Engineers

• Software Engineers

• Data Scientists

• Cloud Engineers

• MLOps Engineers

• Platform Engineers

• Solutions Architects

• Technical Leads

• Engineering Managers

• Enterprise AI Teams

• Students and professionals transitioning into AI engineering

Author: Ravi Kiran
ISBN-13: 9798188295417
Publisher: Independently Published
Language: English
Published: 07/21/2026
Pages: 412
Format: Paperback
Weight: 1.09lbs
Size: 9.00h x 6.00w x 1.02d