Building Agentic AI: Workflows, Fine-Tuning, Optimization, and Deployment
About this ebook
Author Sinan Ozdemir's goal is to help you grasp how AI systems work, what makes them tick, and how to extract valuable information from them. By the end of this journey, you'll not only master the best practices for using AI and LLMs today but also be prepared for the advancements of tomorrow.
The book is organized into three engaging "acts":
- In Act I, you'll dive into the basics of LLMs and AI, learning to build robust, production-ready workflows while focusing on Retrieval-Augmented Generation (RAG) workflows.
- Act II explores the world of AI Agents, covering the theoretical foundations of autonomous systems and case studies like multi-agent SDRs and Voice bots.
- Act III delves into advanced topics such as supervised fine-tuning, deployment considerations, and reinforcement learning.
Think of this as a recipe book, where you can pick and choose the case studies most relevant to you, ensuring you're always prepared for the next big thing in AI.
About the author
Sinan Ozdemir is an AI expert, educator, and entrepreneur with an master's degree in pure mathematics from Johns Hopkins University, where he also lectured. He founded and exited Kylie.ai where he patented Agentic tool use in 2018, served as the Director of Data Science at the acquitting company for many years, and went through Y Combinator. Sinan has authored multiple practical AI books and popular video courses for O'Reilly, Pearson, and others, and co-hosts the Practically Intelligent podcast. His Quick Start Guide to Large Language Models, Second Edition, is a leading resource on AI and LLMs.
