Build with Agentic AI

Build Autonomous Delivery Drones with AI and Reinforcement Learning

Daria Quill

• Publisher: Chiify
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9798259603776
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

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.

Table of contents

• Build with Agentic AI
• Build with Agentic AI
• Preface
• Chapter 1 — The AI Landscape in 2025: Paradigms and Your Project Roadmap
• Chapter 2 — Foundations of Intelligent Systems: Data, Algorithms, and Compute
• Chapter 3 — Generative AI: Creating Content and Code with Transformers
• Chapter 4 — Agentic AI: Designing Proactive, Goal-Oriented Systems
• Chapter 5 — Reinforcement Learning: Learning from Rewards and Penalties
• Chapter 6 — Project Kickoff: Building a Rule-Based Drone Simulator
• Chapter 7 — Deep Q-Networks: Teaching the Drone to Avoid Obstacles
• Chapter 8 — Policy Gradient Methods: Continuous Control for Smooth Flight
• Chapter 9 — Proximal Policy Optimization: Safe and Stable Training
• Chapter 10 — Soft Actor-Critic: Balancing Exploration and Efficiency
• Chapter 11 — Integrating Generative AI: Route Planning with LLMs
• Chapter 12 — Building the Agentic Layer: Task Decomposition and Memory
• Chapter 13 — Multi-Agent Coordination: Fleet of Delivery Drones
• Chapter 14 — Sim-to-Real: Transferring Policies to a Physics Simulator
• Chapter 15 — Cloud Deployment: Scaling Inference and Monitoring
• Chapter 16 — Ethics, Safety, and Robustness in Autonomous Systems
• Chapter 17 — Testing and Iteration: Handling Edge Cases in the Wild
• Chapter 18 — Beyond the Drone: Extending Your AI Toolkit
• About the Author