Concise capsules I can finish over coffee, yet each one taught me something I actually use.

AI Agents Bootcamp
Build production AI agents from first principles.
Start from a single LLM call and build up to reasoning loops, tools, memory, RAG, and multi-agent systems. Master every major framework — LangChain, LangGraph, CrewAI, Smolagents, Google ADK, and n8n — through hands-on projects, then turn agents into shippable products.
Read on your Kindle or e-reader
Download the EPUB and read offline — perfect for the train. Works on Kindle, Kobo, Apple Books & more.
00What Is an AI Agent?5 capsules
What Is an AI Agent? — 5 chapters.
01Why Agents, Why Nowintuitionfree12 min02From LLM to Agentconceptfree12 min03The Anatomy of an Agentconcept🔒12 min04The Agent Landscape and Real-World Use Casesintuition🔒9 min05Setup: API Keys and Your Environmentcode🔒10 min01The Engine: Large Language Models4 capsules
The Engine: Large Language Models — 4 chapters.
06What Is a Large Language Model?concept🔒12 min07How GPT Was Built: From GPT-1 to GPT-3deep-dive🔒10 min08Prompting: The Agent's Control Surfaceconcept🔒12 min09Your First LLM Call in Codecode🔒11 min02Reasoning, Tools, and the Agent Loop6 capsules
Reasoning, Tools, and the Agent Loop — 6 chapters.
10Chain-of-Thought: Teaching Models to Think Step by Stepdeep-dive🔒12 min11ReAct: Interleaving Reasoning and Actingdeep-dive🔒12 min12What Are Tools, Really?concept🔒14 min13Toolformer: How Models Learn to Use Toolsdeep-dive🔒11 min14Build a ReAct Agent From Scratchproject🔒14 min15Generative Agents and the Idea of Memorydeep-dive🔒13 min03Frameworks I: LangChain and Smolagents6 capsules
Frameworks I: LangChain and Smolagents — 6 chapters.
16Why Agent Frameworks Existconcept🔒11 min17LangChain: Models, Prompts, and Chainsconcept🔒11 min18LangChain Agents: Tools and Memorycode🔒12 min19Langflow: Building Agents Visuallyconcept🔒12 min20Smolagents: Agents That Write Code to Actcode🔒12 min21Seeing Inside Your Agent with Langfusecode🔒11 min04Multi-Agent Systems and Browser Agents5 capsules
Multi-Agent Systems and Browser Agents — 5 chapters.
22Why One Agent Is Not Enoughintuition🔒9 min23Multi-Agent Architectures: Managers and Workersconcept🔒12 min24Build a Multi-Agent Systemproject🔒15 min25Browser Agents: Giving Agents Eyes and Handscode🔒11 min26Coordination, Cost, and Failure Modesdeep-dive🔒12 min05Retrieval: RAG and Agentic RAG6 capsules
Retrieval: RAG and Agentic RAG — 6 chapters.
27Why Agents Need Retrievalintuition🔒12 min28Embeddings and Vector Searchmath🔒10 min29The RAG Pipeline: Chunk, Embed, Retrieve, Generateconcept🔒14 min30Build a RAG System with LlamaIndexproject🔒11 min31Agentic RAG: Retrieval as a Toolcode🔒11 min32Evaluating and Improving RAG Qualitydeep-dive🔒13 min06Frameworks II: LangGraph and CrewAI6 capsules
Frameworks II: LangGraph and CrewAI — 6 chapters.
33LangGraph: Agents as State Machinesconcept🔒11 min34Nodes, Edges, and Conditional Routingcode🔒11 min35Cycles, Checkpoints, and Human-in-the-Loopdeep-dive🔒13 min36CrewAI: Role-Based Agent Teamsconcept🔒12 min37CrewAI: Tasks, Tools, and Sequential vs Hierarchical Processescode🔒12 min38Build a Research-and-Write Crewproject🔒12 min07Frameworks III: Google ADK and n8n Automation5 capsules
Frameworks III: Google ADK and n8n Automation — 5 chapters.
39Google ADK: Google's Agent Development Kitconcept🔒12 min40Building an Agent with Google ADKcode🔒11 min41n8n: Agents Inside No-Code Automationsconcept🔒12 min42Build an n8n Agent Workflowproject🔒12 min43Choosing the Right Frameworkintuition🔒13 min08From Agents to Products4 capsules
From Agents to Products — 4 chapters.
44End-to-End Industrial Agent Projectsproject🔒10 min45Productionizing Agents: Cost, Latency, and Reliabilitydeep-dive🔒11 min46Go-to-Market and Monetizing Agentsintuition🔒12 min47Capstone: Design and Ship Your Own Agentproject🔒14 minRatings & reviews
1,570 readersRare mix of depth and readability. The worked examples are the clearest I have seen on this subject.
Best explanation of this topic I have found anywhere. The sidenotes fill in exactly the gaps I had.
Dense but never confusing. Every chapter builds cleanly on the last — you can feel the care in the structure.
Finally a book that explains the hard parts without hand-waving. The figures alone are worth it.