
Build three substantial software engines in C++: a compiler, a SQL database engine, and an LLM inference engine.



Master the mathematics behind Artificial Intelligence. This complete two-volume series covers linear algebra, probability, statistics, optimization, information theory, Bayesian methods, deep learning mathematics, and AI-focused applications. Learn the mathematical foundations that power machine learning, data science, neural networks, and modern AI systems.

Build, test, deploy, and scale real-world AI applications with this two-volume engineering bootcamp. Learn Python, FastAPI, LLMs, semantic search, RAG, Docker, CI/CD, Kubernetes, cloud deployment, security, and production monitoring. One complete learning path from AI foundations to production-ready systems.

20 technical books covering AI engineering, Large Language Models, Claude, C++, algorithms, compilers, database systems, and LLM inference. Explore the technologies, techniques, and engineering practices behind modern AI and software development in one collection.

AI is moving fast, but understanding it does not have to be complicated. This four-book bundle takes you from the basics of artificial intelligence into the technology behind large language models, the practical art of prompting and the rise of AI agents. Clear, practical and free from the hype, it gives you the knowledge you need to understand what AI can actually do and where it is heading next.

Stop building fragile AI toys. Master the complete engineering stack for production-grade LLMs, vector search, high-performance inference, and autonomous AI agents.LLM Engineering, AI Architecture, Agentic AI, Semantic Search, Vector Databases, AI Infrastructure, Python Performance, Machine Learning Systems, DevOps for AI, RAG Pipelines

Go beyond using GPUs and learn what actually happens under the hood. This bundle takes you from building Linux DRM drivers and writing CUDA kernels in Rust to understanding GPU virtualization with KVM and QEMU. Packed with real code, practical examples and low-level implementation details, these books give you the knowledge to build, debug and work with modern GPU systems from the ground up.

Build lightning-fast AI code, eliminate execution bottlenecks, and automate production pipelines with advanced low-level Python optimization, professional testing, and CI/CD workflows.

Think. Solve. Build.Five practical books for going beyond writing C++ code: derive algorithms, tackle 1,000 challenges, investigate real failures, and build an LLM inference engine and a SQL database engine from scratch.

Go beyond standard software engineering.Master computational reactor physics, cyber defense mathematics, and high-performance Python algorithm optimization. This advanced 4-book bundle equips researchers and senior engineers with the tools to simulate complex physical systems, model security equations, and execute ultra-fast code.

Stop treating Large Language Models like black-box APIs.Master the complete Generative AI engineering stack—from probability equations and neural networks built from scratch to vector semantic search and production-grade LLM system architecture. This 4-book curriculum equips developers and software architects with the first-principles intuition needed to build, scale, and innovate with confidence.

Master real-world AI engineering, semantic search, and neural network foundations from scratch with this practical 3-book bundle. Save big and build production-ready AI systems today!

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