MLOps LLMOps And Deployment (Paperback)
Language: English
Published by Independently Published, 2026
- Softcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 24.49
Quantity: 1 available
Add to basketItem description from seller
Paperback. Master the complete production lifecycle of Machine Learning and Large Language Models-from experimentation to enterprise deployment.MLOps, LLMOps and Deployment is a practical, engineer-focused guide that takes you beyond model training and into the real-world challenges of deploying, monitoring, scaling, and maintaining AI systems in production.Designed for AI Engineers, Machine Learning Engineers, Data Scientists, MLOps Engineers, DevOps Professionals, Cloud Architects, and students preparing for technical interviews, this book explains every major concept using simple language, production examples, architecture diagrams, troubleshooting scenarios, interview questions, and hands-on workflows.Inside this book, you'll learn: Complete end-to-end MLOps lifecycleCI, CD, and Continuous Training (CT)Model versioning and Model RegistryDrift detection and production monitoringDocker and Kubernetes for ML deploymentBlue-Green, Canary, Rolling, Shadow, and A/B deploymentsLLMOps fundamentals, prompt versioning, and RAG operationsFeature Stores and production data pipelinesObservability, alerting, and incident responseAI governance, compliance, and model securityGitOps with ArgoCD, Flux, and TerraformAWS SageMaker, Azure ML, and Google Vertex AI implementationsGPU inference optimization using TensorRT, Triton, CUDA, and vLLMAgentic AI workflows, MCP, Guardrails, and Prompt RegistriesProduction troubleshooting and enterprise readiness checklistsEvery chapter includes: Simple explanationsReal production challengesArchitecture diagramsPractical code examplesInterview Q&AKnowledge checksHands-on exercisesWhether you're deploying your first ML model or building enterprise-scale AI platforms, this book provides the practical knowledge needed to confidently design, deploy, monitor, and operate modern AI systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Seller Inventory # 9798190029277
- Title
- MLOps LLMOps And Deployment (Paperback)
- Author
- Rashmi Patel
- Publisher
- Independently Published
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798190029277
- Series
- Book 16 of 22: AI and ML Reference handbooks
Master the complete production lifecycle of Machine Learning and Large Language Models—from experimentation to enterprise deployment.
MLOps, LLMOps and Deployment is a practical, engineer-focused guide that takes you beyond model training and into the real-world challenges of deploying, monitoring, scaling, and maintaining AI systems in production.
Designed for AI Engineers, Machine Learning Engineers, Data Scientists, MLOps Engineers, DevOps Professionals, Cloud Architects, and students preparing for technical interviews, this book explains every major concept using simple language, production examples, architecture diagrams, troubleshooting scenarios, interview questions, and hands-on workflows.
Inside this book, you'll learn:
- Complete end-to-end MLOps lifecycle
- CI, CD, and Continuous Training (CT)
- Model versioning and Model Registry
- Drift detection and production monitoring
- Docker and Kubernetes for ML deployment
- Blue-Green, Canary, Rolling, Shadow, and A/B deployments
- LLMOps fundamentals, prompt versioning, and RAG operations
- Feature Stores and production data pipelines
- Observability, alerting, and incident response
- AI governance, compliance, and model security
- GitOps with ArgoCD, Flux, and Terraform
- AWS SageMaker, Azure ML, and Google Vertex AI implementations
- GPU inference optimization using TensorRT, Triton, CUDA, and vLLM
- Agentic AI workflows, MCP, Guardrails, and Prompt Registries
- Production troubleshooting and enterprise readiness checklists
Every chapter includes:
- Simple explanations
- Real production challenges
- Architecture diagrams
- Practical code examples
- Interview Q&A
- Knowledge checks
- Hands-on exercises
Whether you're deploying your first ML model or building enterprise-scale AI platforms, this book provides the practical knowledge needed to confidently design, deploy, monitor, and operate modern AI systems.
"Synopsis" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
Shipping rates from United Kingdom to U.S.A.
| Item | 7 to 14 business days | 7 to 60 business days |
|---|---|---|
| First item | £ 37.00 | £ 37.00 |
Payment methods
Store description
Online business
Seller's business information
ABC BOOKS LIMITED
10 John Street
London, United Kingdom WC1N 2EB
Terms of sale
Orders can be returned within 30 days of receipt.
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to CitiRetail, Stevenage, United Kingdom, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
Please note that titles are dispatched from our US, Canadian or Australian warehouses. Delivery times specified in shipping terms. Orders ship within 2 business days. Delivery to your door then takes 7-14 days.