AI First FinOps and Cloud Cost Engineering: Learn Cloud Cost Optimization, Tagging, Architecture, and Reporting with Hands-On Labs for Faster Skill Bu
Language: English
Published by Independently published, 2025
- Softcover
- New
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
AbeBooks seller since January 28, 2020
Condition: New
£ 28.64
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- Title
- AI First FinOps and Cloud Cost Engineering: Learn Cloud Cost Optimization, Tagging, Architecture, and Reporting with Hands-On Labs for Faster Skill Bu
- Author
- Qayoom, Al
- Publisher
- Independently published
- Publication year
- 2025
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798274560917
- Series
- Book 8 of 11: The AI Advantage Series
Cloud bills are rising faster than teams can explain them.
Budgets are tightening.
Executives want clarity.
Engineers want simplicity.
And most organizations still do not have the skills to control cloud spend without slowing delivery.
This book fixes that.
AI First FinOps and Cloud Cost Engineering is the first fully hands on FinOps guide built for real practitioners.
Not a theory book.
Not a certification cram guide.
A true learning system that turns FinOps into something you can practice, master, and use inside real environments with confidence.
Inside this book you will learn FinOps by doing.
You will build a complete synthetic cloud environment.
You will load it into your own vector store.
You will ground an AI model to your dataset so the answers come from your signals, not the open web.
You will run adaptive labs that change difficulty each time you practice.
You will use the CLEAR framework to diagnose costs, fix ownership, optimize resources, evaluate architecture, and produce leadership ready reporting.
You are not reading a book.
You are building a FinOps simulator.
You will learn how to:
• Find real cost drivers in complex bills
• Fix tagging and ownership without politics
• Identify waste safely before touching production
• Diagnose architecture issues that silently inflate costs
• Build narratives that leaders trust
• Forecast cloud spend with defensible assumptions
• Run the CLEAR loop end to end in real environments
• Use AI as your cost analyst, tutor, explainer, and training engine
• Move from lab practice to real world FinOps responsibility without fear
You get a complete companion system.
Seven large synthetic datasets.
JSONL chunks for RAG.
Embeddings.
Portfolio templates.
Simulation templates.
Lab prompts.
A full adaptive learning plan.
An incident dataset for deep practice.
Everything you need to build capability on your own.
Why this matters right now.
FinOps salaries are rising because cloud cost pressure is rising.
Companies want clarity.
They want people who can explain patterns, not just run tools.
They want end to end thinkers who understand ownership, architecture, efficiency, and reporting.
They want practitioners who can turn chaos into predictable spend.
This book trains you to be that person.
You will walk away with:
• A complete FinOps portfolio
• A working RAG backed FinOps assistant
• A personal adaptive lab trainer
• Evidence of skill you can bring to any interview
• A First 30 Days plan for operating FinOps in a real environment
If you are shifting careers, this book gives you the fastest learning path.
If you are an engineer, this book gives you clarity on cost signals.
If you are in finance, this book helps you translate cloud behavior into budget reality.
If you are a leader, this book gives you a repeatable workflow your team can follow.
Most books teach FinOps from the outside.
This one teaches FinOps from inside the data, inside the workflows, and inside the errors you will see on day one.
Cloud cost engineering is no longer optional.
It is a core capability.
And with this playbook, you will learn it faster, safer, and with more confidence than you thought possible.
AI First FinOps and Cloud Cost Engineering
Learn by doing.
Practice with safety.
Master the craft.
Step into the real world ready.
"Synopsis" may belong to another edition of this title.
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