LLMOps: Foundations, Deployment, and Responsible Operations of Large Language Models

LLMOps: Foundations, Deployment, and Responsible Operations of Large Language Models Harness the full potential of Large Language Models (LLMs) with LLMOps, a practical guide to building, deploying, and managing modern AI systems at scale. Perfect for students, professionals, and teams, this book blends fundamentals, hands-on workflows, and ethical best practices to help you move from experimentation to production with confidence. What You’ll Learn Core Concepts – Understand neural networks, transformers, and how today’s LLMs work—no prior AI background required. Practical Operations – Build end-to-end LLM pipelines on public, private, or hybrid cloud with Docker, Kubernetes, and vector databases while mastering data preparation, fine-tuning, and deployment. Real-World Use Cases – See how LLMs power applications in healthcare, finance, education, and beyond. Responsible AI – Address bias, privacy, and compliance with actionable frameworks and checklists. Future Trends – Explore federated learning, multimodal systems, sustainability, and emerging technologies. Who It’s For Students & Educators seeking a clear, structured introduction to LLMs. Data Scientists & ML Engineers building scalable AI solutions. DevOps & Platform Teams deploying and monitoring production models. Instructors looking for ready-to-use resources, glossaries, and sample workflows. LLMOps bridges the gap between theory and practice, giving you the tools to design, deploy, and operate LLMs safely, efficiently, and responsibly.
ASIN: B0FLYWJPDL
VSKU: BVV.B0FLYWJPDL.A
Condition: Acceptable
Author/Artist:Alomari PhD, Raja|Alomari, Ryan
Binding: Paperback
Note: Any images shown are stock photographs and product may differ from what is shown.
Condition Notes: The item is very worn but is perfectly usable. Signs of wear can include aesthetic issues such as scratches, dents, worn and creased covers, folded page corners and minor liquid stains. All pages and the cover are intact, but the dust cover may be missing. Pages may include moderate to heavy amount of notes and highlighting, but the text is not obscured or unreadable. Page edges may have foxing age related spots and browning . May NOT include discs, access code or other supplemental materials.