build agentic AI generative AI systems - this hands-on guide teaches you to design, build, and ship AI that takes action, from language models and tool use to retrieval and agentic architecture. Whether you're a beginner or pro, you'll go from concept to production with practical code and real-world examples. Daria Quill demystifies the stack behind autonomous agents, covering prompt engineering, fine-tuning, RAG, and multi-step reasoning. You'll learn to create systems that not only generate text but also use tools, retrieve knowledge, and make decisions. This book bridges theory and practice, helping you ship reliable, scalable agentic AI. Unlike Machine Learning System Design Interview by Alex Xu or Building LLMs for Production by Louis-François Bouchard, Build with Agentic AI focuses on action-oriented AI—not just interviews or theory. You'll build chatbots, automation tools, and decision-making agents that work in the real world. Perfect for developers, data scientists, and AI enthusiasts ready to move beyond static models. Get the skills to create AI that does things. What You'll Learn Architect agentic systems that combine LLMs with tool use and retrieval Implement RAG pipelines for grounded, factual responses Fine-tune open-source models for specific tasks Design multi-agent workflows for complex goals Deploy and monitor production AI agents Who This Book Is For Developers building AI-powered applications Data scientists expanding into generative AI Product managers and entrepreneurs shipping AI features Students and researchers wanting practical agentic AI skills Stop just chatting with AI—start building AI that acts. With Build with Agentic AI, you'll ship systems that search, compute, and execute. Compare with 2084 and the AI Revolution by [placeholder] and Invest Smarter with AI by [placeholder] - this is the practical builder's guide.
