Build with Agentic AI
Build Autonomous Delivery Drones with AI and Reinforcement LearningBy Daria Quill
Length7h 21m
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 21 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
LanguageEnglish
Table of contents
1Introduction
12Chapter 10 — Soft Actor-Critic: Balancing Exploration and Efficiency
2Preface
13Chapter 11 — Integrating Generative AI: Route Planning with LLMs
3Chapter 1 — The AI Landscape in 2025: Paradigms and Your Project Roadmap
14Chapter 12 — Building the Agentic Layer: Task Decomposition and Memory
4Chapter 2 — Foundations of Intelligent Systems: Data, Algorithms, and Compute
15Chapter 13 — Multi-Agent Coordination: Fleet of Delivery Drones
5Chapter 3 — Generative AI: Creating Content and Code with Transformers
16Chapter 14 — Sim-to-Real: Transferring Policies to a Physics Simulator
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6Chapter 4 — Agentic AI: Designing Proactive, Goal-Oriented Systems
17Chapter 15 — Cloud Deployment: Scaling Inference and Monitoring
7Chapter 5 — Reinforcement Learning: Learning from Rewards and Penalties
18Chapter 16 — Ethics, Safety, and Robustness in Autonomous Systems
8Chapter 6 — Project Kickoff: Building a Rule-Based Drone Simulator
19Chapter 17 — Testing and Iteration: Handling Edge Cases in the Wild
9Chapter 7 — Deep Q-Networks: Teaching the Drone to Avoid Obstacles
20Chapter 18 — Beyond the Drone: Extending Your AI Toolkit
10Chapter 8 — Policy Gradient Methods: Continuous Control for Smooth Flight
21About the Author
11Chapter 9 — Proximal Policy Optimization: Safe and Stable Training
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