Build with Agentic AI
Build Autonomous Delivery Drones with AI and Reinforcement LearningBy Daria Quill
Length7h 20m
About this audiobook
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.
Audiobook details
GenreTechnology
Length7 hrs 20 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateSep 30, 2026
LanguageEnglish
Table of contents
1Preface
2Chapter 1 — The AI Landscape in 2025: Paradigms and Your Project Roadmap
3Chapter 2 — Foundations of Intelligent Systems: Data, Algorithms, and Compute
4Chapter 3 — Generative AI: Creating Content and Code with Transformers
5Chapter 4 — Agentic AI: Designing Proactive, Goal-Oriented Systems
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6Chapter 5 — Reinforcement Learning: Learning from Rewards and Penalties
7Chapter 6 — Project Kickoff: Building a Rule-Based Drone Simulator
8Chapter 7 — Deep Q-Networks: Teaching the Drone to Avoid Obstacles
9Chapter 8 — Policy Gradient Methods: Continuous Control for Smooth Flight
10Chapter 9 — Proximal Policy Optimization: Safe and Stable Training
11Chapter 10 — Soft Actor-Critic: Balancing Exploration and Efficiency
12Chapter 11 — Integrating Generative AI: Route Planning with LLMs
13Chapter 12 — Building the Agentic Layer: Task Decomposition and Memory
14Chapter 13 — Multi-Agent Coordination: Fleet of Delivery Drones
15Chapter 14 — Sim-to-Real: Transferring Policies to a Physics Simulator
16Chapter 15 — Cloud Deployment: Scaling Inference and Monitoring
17Chapter 16 — Ethics, Safety, and Robustness in Autonomous Systems
18Chapter 17 — Testing and Iteration: Handling Edge Cases in the Wild
19Chapter 18 — Beyond the Drone: Extending Your AI Toolkit
20About the Author
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