Build Your Own AI Agents
Learn the principles of agentic design, equip an agent to act through tools, add memory for learning across tasks, and scale the design into a coordinated multi-agent system
Build your skills, save on books!
Curated set of books that takes you through one topic from start to finish. Buy any bundle for $99.99!
The Context Engineering Blueprint
Completes the workflow by showing how to define metrics and systematically evaluate the quality, accuracy, and consistency of an LLM application.
LLM Fine-Tuning for Engineers
Prepare effective training data, establish a fine-tuning baseline, optimize experimental configurations systematically, evaluate model quality with LLM-based judges, and profi
Inference Engineering
You have model up and running. What comes next? Get all five ebooks for $99.99 and build your skills from inference through production. Establish an inference workflow, optimize attention, weigh quantization’s memory savings against output quality, accelerate GPU execution with fused Triton kernels, and prepare an LLM service for deployment. The full collection connects these decisions, giving you practical techniques for today’s bottlenecks and a foundation for tackling more demanding projects.
Local AI and Small Language Models
Understand small language models, specialize them for targeted tasks, optimize them for efficient CPU inference with GGUF, and build private local AI applications using Ollama
Data Analytics in Action
Define a meaningful analytical problem, prepare the data with pandas, communicate the findings visually, and shape the results into a persuasive data story
The Production ML Blueprint
A compact lifecycle for turning a machine learning idea into an operable production system
Claude for Software Engineers
Learn to use Claude Code, translate requirements into staged implementations with behavior-driven development, verify results through AI-assisted testing, and integrate AI int
Maintainable TypeScript
Understand type systems, create reusable generic abstractions, establish a productive TypeScript toolchain, and improve the resulting code through disciplined refactoring
Spec-Driven AI Development
Communicate intent to AI coding agents, capture that intent in durable specifications, design tests around real risks, and confidently evaluate the code your agen
Trustworthy Generative AI
A focused guide to controlling hallucinations, misuse, and reliability risks before an AI application reaches production
Safer Kotlin
Understand Kotlin’s place in the JVM ecosystem, manage nullable data, model failures safely, and verify behavior using property-based testing.
Production Rust
Ownership, Libraries, Networking, and Testing
Master ownership, organize reusable Rust libraries, build networked functionality, and verify the resulting application with unit and integration tests.
Agent Engineering
Tools, Workflows, and Feedback
A practical progression from basic agent concepts to dependable, tool-using agentic workflows.
Inside the LLM
A concise technical explanation of how text-generating models work, from core concepts to implementation.
Modern Web Development
Understand the browser platform, manage asynchronous JavaScript execution, create modular and maintainable styles, and build reusable web components with Lit.
Master Algorithms
From Foundations to AI
Master the principles and techniques behind effective problem-solving in software and AI
AI Agents
From Design to Deployment
Build modern AI agents from design to deployment
Modern Game Development
Build Faster, Smarter, and More Scalable Games
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