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

Go beyond prompting — build AI that works for you, end to end. Building Agentic AI by Sinan Ozdemir is a hands-on, practitioner-focused guide to designing, fine-tuning, optimizing, and deploying autonomous AI workflows in the real world.

Part of the prestigious Pearson AI Signature Series, this early release title is written by one of the most respected voices in applied AI. Whether you're building internal automation tools or production-grade agentic pipelines, this book gives you the engineering depth to do it right.

What's inside:

• Agentic workflow design — architect systems that plan, reason, and act autonomously
• Fine-tuning strategies for adapting LLMs to domain-specific agentic tasks
• Optimization techniques to improve speed, cost-efficiency, and reliability
• Deployment best practices for taking agentic AI from prototype to production
• Real-world patterns used by leading AI teams today

If you're serious about building production-ready agentic AI systems, this is the book that takes you from concept to deployment with confidence. A must-have addition to any AI engineer's library.