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Engineering Learning Hub

Practical courses for modern infrastructure, cloud, and platform technologies.

This learning platform provides structured technical courses, hands-on labs, and real-world engineering practices used in modern infrastructure environments.

Build strong foundations in systems, automation, cloud platforms, and operational tooling.


Core Technology Courses

  • 🐧 Linux

Learn Linux administration and command-line fundamentals.

Linux Course Overview

Covers essential Linux administration concepts including:

  • Introduction
  • File System
  • User Group Management
  • Permissions
  • Process & Service Management
  • Package Management
  • Storage Management
  • Networking
  • SSH Remote Access
  • Web Server
  • Security
  • Shell Scripting
  • Logs Monitoring
  • Backup Recovery
  • Advanced Administration
  • Projects

β†’ Coming Soon


  • βš™οΈ Ansible

Automate system configuration and infrastructure management.

Ansible Course Overview

Learn infrastructure automation using Ansible.

  • Playbooks and roles
  • Inventory management
  • Configuration automation
  • Infrastructure orchestration

β†’ Coming Soon


  • πŸ— Terraform

Provision and manage infrastructure using Infrastructure as Code.

Terraform Course Overview

Learn Infrastructure as Code practices.

  • Infrastructure provisioning
  • State management
  • Terraform modules
  • Production best practices

β†’ Coming Soon


  • ☸️ Kubernetes

Container orchestration platform for deploying, managing, and scaling applications.

Kubernetes Course Overview

Learn how to deploy and operate containerized workloads using Kubernetes.

  • Setup
  • Core Workloads
  • Networking
  • Configuration
  • Storage
  • Scaling
  • Package Management
  • Observability
  • Security
  • CI/CD
  • GitOps
  • Deployment Strategies
  • Production Operations
  • MLOps
  • Projects
  • Interview Preparation
  • Cheatsheets
  • Architecture Diagrams

β†’ Open Kubernetes Course


  • πŸ€– MLOps

Build, deploy, and manage machine learning systems in production environments.

MLOps Course Overview

Learn how machine learning workflows are developed and operated in real systems.

  • Setup
  • Data
  • Source Code
  • Notebooks
  • DVC
  • Experiments
  • Serving
  • Tests
  • CI/CD
  • Kubernetes Deployment
  • Kubeflow
  • GitOps
  • Monitoring
  • ML Monitoring
  • Feature Store
  • Terraform
  • Projects

β†’ Open MLOps Course


Learning Approach

The platform emphasizes practical engineering knowledge through:

  • Hands-on exercises
  • Real system scenarios
  • Infrastructure workflows
  • Automation practices
  • Production-oriented tools

Maintained By

Vishal Sen

Infrastructure β€’ Cloud β€’ Automation Engineering