1 / 2Hands-On MLOps on Azure: Azure ML CLI, GitHub and LLMOps
Hands-On MLOps on Azure is a technical book about operationalizing machine learning workflows with Azure ML CLI and GitHub. It covers reproducible pipelines, CI/CD, deployment, monitoring, governance, and LLMOps, including examples spanning Azure, AWS, and GCP.
At a glance
- Explains the transition from DevOps practices to MLOps, with a focus on reproducibility and model versioning.
- Describes ML pipelines and CI/CD workflows using Azure ML CLI and GitHub Actions.
- Covers model packaging, batch scoring, real-time web services, monitoring, drift detection, governance, and alerting.
- Includes LLMOps topics such as RAG, prompt flows, evaluation, and responsible AI, with multi-cloud case studies.
- The listing says a print or Kindle book purchase includes a free PDF eBook.
Reference price: $44.99
Price checked: Nov 14, 2026
View offerAhead of Black FridayExplore the selectionPros and cons
Pros
- Covers the ML lifecycle from training and experimentation through deployment and monitoring, rather than focusing only on model building.
- Includes both batch and real-time deployment topics, useful for readers considering different serving workflows.
- Connects Azure-specific tooling with GitHub workflows and examples across Azure, AWS, and GCP.
Technical specifications
8 specifications| Publisher | Packt Publishing |
|---|---|
| Publication date | August 1, 2025 |
| Language | English |
| Print length | 276 pages |
| ISBN-10 | 1836200331 |
| ISBN-13 | 978-1836200338 |
| Weight listed | 1.06 pounds |
|---|---|
| Dimensions | 7.5 x 0.63 x 9.25 inches |
Who is it for?
A good fit for
- DevOps, cloud, and SRE professionals who manage or want to manage machine-learning model lifecycles.
- ML practitioners looking to structure reproducible pipelines and deployment workflows.
- Technical decision-makers and project managers seeking an overview of MLOps processes and their operational concerns.
Less suited to
- Readers seeking a general introduction to machine learning model development rather than production operations.
- Readers looking for a guide focused on a cloud platform other than the Azure-centered approach described here.
Customer reviews on Amazon
- 5 stars
100% 100% - 4 stars
0% 0% - 3 stars
0% 0% - 2 stars
0% 0% - 1 star
0% 0%
The supplied evidence contains aggregate ratings but no written customer feedback. The ratings are uniformly positive in the displayed distribution, but the limited sample does not establish why readers rated the book highly or how well its technical coverage works in practice.
Frequently asked questions
What subjects does this book cover?
The listing describes MLOps fundamentals, reproducible pipelines, model management, deployment, monitoring, governance, and LLMOps topics including RAG and evaluation.
Does it cover tools beyond Azure?
Azure is the central focus, with the listing also describing case studies across Azure, AWS, and GCP.
Who is the book aimed at?
The stated audience includes DevOps and cloud engineers, SREs, ML practitioners, technical decision-makers, and project managers.
Is a PDF eBook included?
The listing claims that purchasing either the print or Kindle book includes a free PDF eBook.
Alternative options
Machine Learning Engineering on AWS: Build, deploy, and operationalize LLMs, AI agents, and generative AI systems on AWS
$49.99
Automated Machine Learning on AWS: Fast-track the development of your production-ready machine learning applications the AWS way
$37.00
Azure for Developers: The definitive guide to creating secure, scalable Azure apps with GenAI, serverless, and DevOps pipelines
$39.99
Learning AutoML: Automating ML Pipelines with AutoGluon, Leading Frameworks, and Real-World Integration
$48.70
Machine Learning Engineering on AWS: Build, scale, and secure machine learning systems and MLOps pipelines in production
$48.99
MLOps with Databricks, MLflow, and GenAI: A Practical Beginner's Guide to Building, Tracking, Deploying, and Managing Machine Learning and Generative AI Workflows
$34.99
The Microsoft 365 Migration Bible 2026: The Definitive Guide To Planning, Executing, And Mastering Enterprise Cloud Migrations (Enterprise Microsoft 365 Administration Series)
$29.97
Shipping AI Fast: Prototyping, Testing, and Deploying AI Features in Days, Not Months
$9.97
Smarter Leadership with Artificial Intelligence: Leverage AI to Empower Your Team, Accelerate Innovation, and Shape a Future-Ready Organization That Thrives on Change (The Smarter Leadership Series)
$17.99
AI Engineering: Building Applications with Foundation Models
$45.99
The Self-Taught Cloud Computing Engineer: A comprehensive professional study guide to AWS, Azure, and GCP
$29.99
Azure AI-102 Certification Essentials: Master the AI Engineer Associate exam with real-world case studies and full-length mock tests
$44.99
