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Kubernetes Production Guide on AWS
From Beginner to Expert for Cloud & DevOps Engineers
Shell Scripting Handbook
From Beginner to Expert for Cloud & DevOps Engineers
Linux Master Handbook
From Beginner to Expert for Cloud & DevOps Engineers
Ultimate DevOps Bundle: Kubernetes Handbook, Terraform Masterbook, Freelancing Masterbook & Job Search Toolkit
Use these eBooks to deepen your understanding of Kubernetes, Terraform, and Freelancing, and accelerate your job hunt with the included Job Search Tracker (Exclusive for LearnXops Premium members)
Data Versioning & DVC Introduction
Why your ML experiments are irreproducible without proper data versioning and how DVC pairs with Git to give every dataset, model, and artifact a permanent, auditable address. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 5)
Version Control with Git for ML Projects
Stop losing ML experiments. Learn Git workflows, branching strategies, and .gitignore best practices to make your ML projects reproducible, organized, and production-ready. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 4)
Python Refresher for ML Engineering Tasks
Master functions, classes, decorators, and file I/O. Graduate from notebooks to production-grade ML scripts. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 3)
Setting Up Your MLOps Development Environment
Before pipelines, registries, and Kubernetes, every MLOps engineer needs a clean, reproducible local setup. Today you'll install Python 3.10+, master pip and virtual environments, and configure VS Code as a full ML workbench. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 2)
Understanding MLOps and Its Core Purpose
Machine learning models are only valuable in production. MLOps is the discipline that gets them there — and keeps them working. Let's build the foundation. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 1)
217 hands-on Kubernetes labs are live — from your first Pod to MLOps, GitOps & SRE.
217 auto-verified labs across 11 tracks — Core, Networking, Security, Operators, Scaling, Observability, AI/MLOps and more.
