Who want to master DevOps, Python, Cloud & AI with a clear, job-ready path.
Want to level up from coding to automating real DevOps workflows.
Want to build a job-ready portfolio with automation, cloud, and AI projects.
Want to automate client workflows using Python, CI/CD, Docker, and Cloud.
Introduction
What is DevOps?
Installing Rocky Linux
Installing Ubuntu
Using the Linux Command Line
Getting Help with Linux
Networking in Linux
DNS and DHCP
Linux Storage
Using SSH
Installing and Using a Mail Server
Configuring a Web Server
Installing and Using Docker
Installing and Using Ansible
Installing and Using Chef
Creating a GitLab Server
Creating and Using LAMP
Installing and Using WordPress
Backups and Automation
Conclusion
Agile, Lean & DevOps
Flow Principles
Feedback Principles
Learning & Experimentation
Choose Value Stream
Map Work in Stream
Org Design via Conway’s Law
Integrate Ops into Dev
Build Deployment Pipeline
Automated Testing
Continuous Integration
Low-Risk Releases
Create Telemetry
Analyze Telemetry
Feedback in Deployment
A/B Testing & Hypothesis
Reviews & Coordination
Daily Learning Culture
Share Local Discoveries
Time for Improvements
Security for Everyone
Secure Deployment Pipeline
Why DevOps Matters
Case Study – Nationwide
Case Study – Target
Case Study – Capital One
Case Study – Etsy
Final Conclusion
Why Python for DevOps?
Python Basics
Command-Line Tools
Git and GitHub
Working with HTTP and Web APIs
Infrastructure as Code
Configuration Management
Containers and Virtualization
CI/CD (Continuous Integration and Delivery)
Cloud Computing
Testing and Monitoring
Security Automation
Logging and Log Analysis
Data and Visualization
Machine Learning in Operations
Final Thoughts
Introduction to Machine Learning
Introduction to TensorFlow
Introduction to Computer Vision
Building Computer Vision Models
Enhancing Vision with Convolutions
Using Real-world Images
Image Classification in the Real World
Transfer Learning
Multiclass Classification
Detecting Multiple Objects
Natural Language Processing (NLP) with ML
Text Classification
Text Generation
Sequence Models for NLP
Time Series, Sequences, and Predictions
Recommender Systems
Understanding ML in Practice
Responsible AI
Conclusion
Earlier I was stuck in random tutorials. This bundle gave me clarity and a clear direction to follow.
I never thought AI could be used in DevOps this way. The examples in the book are so practical and student-friendly.
Linux and cloud were my weak areas, but this bundle made them easy and practical. It boosted my confidence a lot.
This bundle covers everything — scripting, cloud, CI/CD, even AI. It’s like a complete learning roadmap for DevOps students.
Python for DevOps was a game changer for me. I learned how to automate tasks using scripts and real tools.
The Python automation section is so clear. I now use it daily in my mini-projects and scripts.
Ans : You’ll get 4 premium eBooks covering:
DevOps Concepts & Pipelines
Python for DevOps Automation
Linux & Cloud Essentials
AI + Machine Learning for DevOps Use-Cases
Each book includes real-world examples, tools, and industry practices.
Ans : Basic Python knowledge is helpful but not mandatory. The content is beginner-friendly and gradually moves to advanced topics.
Ans : Yes! Pay once, get lifetime access – no subscriptions, no hidden fees.
Ans : Instantly! Once you complete the payment, you’ll get immediate download access via email or direct link.
Ans : Yes! All files are mobile-optimized PDFs — view them anytime, anywhere
Ans : It never happens but incase, Please email us at contactalphatoolz@gmail.com or WhatsApp us: 7858917845 & our support team will get back to you as soon as possible.
Ans : Since this is a digital product delivered instantly after purchase, we do not offer refunds once the file has been downloaded or accessed.
We recommend reading the full description, content list, and sample details before making your purchase. Still have questions? Feel free to reach out to our support team before buying.