Building Agentic AI: Workflows, Fine-Tuning, Optimization, and Deployment

This book equips developers, data scientists, and product managers with blueprints for designing adaptive AI agents with memory, tool use, and collaborative reasoning.

It covers robust RAG workflows using embeddings and vector databases, comprehensive evaluation frameworks, multimodal systems integrating text, vision, audio, and code, plus fine-tuning and optimization for enterprise-scale reliability.

Organized into three parts—from workflows to agents to advanced technical work—it includes case studies and prepares readers for evolving AI advancements.