Linux and AI: Building AI Systems on with Machine Learning, GPU Computing, Cloud Infrastructure, Automation, Containers, Real-World Projects

Build the Future of AI on the World's Most Powerful Open-Source Platform What if you could master the exact Linux-based infrastructure powering today's AI revolution? >Linux and AI is a comprehensive guide designed for developers, aspiring AI engineers, cloud architects, Linux enthusiasts, and tech professionals who want to understand how artificial intelligence actually runs in real production environments. >Inside this comprehensive guide, you'll learn how to: - Build and configure a professional Linux environment for AI development - Understand Linux kernel architecture for high-performance computing - Work with Python, PyTorch, TensorFlow, and modern AI frameworks - Configure NVIDIA GPU drivers, CUDA, and multi-GPU systems - Optimize Linux systems for machine learning performance - Automate AI workflows using shell scripting and Linux tooling - Deploy AI applications using Docker and Kubernetes - Build scalable AI infrastructure across AWS, Azure, and Google Cloud - Create real-world projects including chatbots, NLP pipelines, and image classification systems - Understand MLOps, CI/CD pipelines, monitoring, security, and distributed AI systems >Unlike beginner-only programming books, this guide focuses on the complete AI engineering stack - combining Linux administration, cloud infrastructure, automation, GPU computing, machine learning, and deployment into one practical roadmap for modern AI systems engineering. Perfect for: - AI engineers and machine learning developers - Linux users transitioning into artificial intelligence - Cloud engineers and DevOps professionals - MLOps practitioners and infrastructure architects - Computer science students and tech enthusiasts >If you want to understand not just how AI models work - but how real AI systems are built, optimized, deployed, and scaled on Linux infrastructure - this book gives you the knowledge and practical foundation to start building like a professional. Start your journey into Linux-powered AI engineering today.

Pagina's: 277, Paperback, Independently published