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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)
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.
Building an AI Security Governance Platform on AWS
A complete implementation guide covering least-privilege access enforcement, Amazon Bedrock security hardening, continuous IAM permission auditing, and automated compliance evidence generation — built for production at scale.
Spin up a real Kubernetes cluster in Kubernetes Labs — then learn it, hands-on.
The Kubernetes Playground creates real local kubernetes cluster using kind (pick your version, nodes & LoadBalancer), plus 30 guided, auto-verified labs from your first Pod to GitOps & Operators
483 Hands-On Labs Are Now Live on LearnXops!
Master Cloud, DevOps, MLOps & AI Through Real-World Guided Practice
