Generative AI Engineering with MLOps
V. Bradley, Jacobs
Sold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since April 7, 2005
New - Soft cover
Condition: New
Ships within U.S.A.
Quantity: Over 20 available
Add to basketSold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since April 7, 2005
Condition: New
Quantity: Over 20 available
Add to basketNew Book. Shipped from UK. Established seller since 2000.
Seller Inventory # L2-9798268210224
Deploying, Scaling, and Monitoring LLMs and Foundation Models to Build Production-Ready Chatbots, Agents, and Diffusion Models
Generative AI Engineering with MLOps is your complete, practical roadmap to deploying, scaling, and monitoring modern AI systems in real-world environments. Designed for engineers, data scientists, and forward-thinking leaders, this book bridges the gap between machine learning theory and practical MLOps execution—showing you how to move from prototype to production without compromise.
Inside, you’ll discover how to:
Build reliable retrieval-augmented generation (RAG) systems that deliver grounded answers
Fine-tune large language models with LoRA/QLoRA for cost-efficient adaptation
Deploy models at scale with vLLM, Ray Serve, Triton, and KServe
Design safe and efficient AI agents with tool orchestration, guardrails, and HITL strategies
Operationalize diffusion models with caching, quotas, and policy enforcement
Implement observability, drift detection, and cost monitoring to ensure production stability
Every chapter includes hands-on labs with complete, working Python code explained step by step—so you don’t just read about concepts, you build and run them. By the end, you’ll have the skills and confidence to design and manage AI systems that are both powerful and trustworthy.
Jacobs V. Bradley is a seasoned practitioner and educator in MLOps, Generative AI, and scalable cloud systems. With years of experience bridging research, engineering, and production deployment, Bradley brings a unique ability to simplify complex technologies without losing depth. His work emphasizes practical engineering, credibility, and time-tested workflows—ensuring readers gain actionable expertise that aligns with today’s fast-moving AI landscape.
Whether you’re a professional upgrading your skills, a student stepping into AI engineering, or a business leader seeking to deploy cutting-edge systems, this book offers the clarity, practicality, and credibility you need to succeed.
Unlock the tools of the next decade. Step into the world of Applied Generative AI Engineering and deliver AI solutions that truly work in production.
"About this title" may belong to another edition of this title.
Returns Policy
We ask all customers to contact us for authorisation should they wish to return their order. Orders returned without authorisation may not be credited.
If you wish to return, please contact us within 14 days of receiving your order to obtain authorisation.
Returns requested beyond this time will not be authorised.
Our team will provide full instructions on how to return your order and once received our returns department will process your refund.
Please note the cost to return any...
Books are shipped from UK warehouse. Delivery thereafter is between 4 and 14 business days dependant upon your location - please do contact us with any queries you may have.
| Order quantity | 7 to 14 business days | 7 to 14 business days |
|---|---|---|
| First item | US$ 0.00 | US$ 0.00 |
Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.