Best DATA & AI Books 2026

Run powerful AI models on your own hardware with Ollama. This hands-on guide covers installation on Linux, Windows, and macOS, pulling and running models, custom Modelfiles, the REST API, performance tuning, self-hosting, security, and real projects—for private, cost-free, local AI.

Reclaim AI on infrastructure you own. This hands-on guide shows you how to build, run, optimize, and secure large language models on your own Linux systems—from hardware selection and runtimes like llama.cpp, Ollama, and vLLM to prompt engineering, API serving, deployment, and scaling.

Harness AI directly on your own Linux machines—no vendor lock-in, no cloud dependencies. Install GPU drivers and CUDA, run local LLMs with Ollama and llama.cpp, deploy containerized inference, and automate, secure, and scale AI workloads. A hands-on guide for developers, admins, and enthusiasts.

Become an AI-driven senior engineer. Master technical judgment, leadership, system thinking, and AI-augmented workflows to accelerate career growth.

Build production-ready full-stack systems with AI as your pair programmer. Master frontend, backend, APIs, databases, security, CI/CD, and observability.

Design scalable and reliable systems with AI as your architecture co-pilot. Master APIs, data models, caching, microservices, and real-world case studies.

Master secure coding for AI-assisted development. Protect applications, APIs, prompts, infrastructure, and supply chains with secure-by-design engineering practices.

Master systematic debugging, AI-assisted code analysis, safe refactoring, and technical debt reduction. Learn how to modernize legacy systems and solve complex software defects with structured AI workflows.

Learn how to build real production-ready applications with AI pair programming. Master architecture, testing, DevOps, security, performance, scaling, and AI-assisted code reviews from prototype to deployment.

Master prompt engineering as a core developer skill. Learn structured prompt design, code generation control, debugging, testing, security, token optimization, and production-ready AI instruction patterns.

Learn how to code smarter with AI. Master prompt engineering, AI pair programming workflows, debugging, test generation, system design, security, and performance optimization in the AI-augmented developer era.

Master the principles of prompt engineering to design reliable, high-quality prompts for AI systems, reduce hallucinations, and build reusable prompt patterns.

Using AI to Write Better Code, Debug Faster, and Boost Developer Productivity

Learn machine learning from the ground up. Understand core concepts, data preparation, models, evaluation techniques, and real-world ML workflows-no advanced math required.