Linux & Shell Scripting
Master Linux fundamentals for DevOps: filesystem navigation, users and permissions, process management, systemd, networking, cron scheduling, Bash scripting, and text processing with grep, sed and awk.
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Course Content
Foundations
Core concepts and groundwork
Introduction to Linux and the DevOps Role
Reading
Distributions, Shells and the Terminal
Reading
The Filesystem Hierarchy and Navigation
Reading
Getting Started Practice — Explore a Live System
Exercise
Files, Directories and I/O Redirection
Reading
Links, Wildcards and find
Reading
Users, Groups and Permissions
Reading
Core Skills
Essential techniques and patterns
Files Practice — Server File Audit
Exercise
Processes, Signals and Job Control
Reading
systemd and Service Management
Reading
Resource Monitoring — top, ps, df
Reading
Services Practice — Manage a Daemon
Exercise
Package Management and Software Installs
Reading
Networking Basics — ip, ss, curl
Reading
Applied Practice
Hands-on, real-world scenarios
Cron, Scheduling and System Logs
Reading
Ops Practice — Scheduled Log Rotation
Exercise
Bash Scripting Fundamentals
Reading
Variables, Conditionals and Loops
Reading
Functions, Arguments and Error Handling
Reading
Scripting Practice — Backup Automation Script
Exercise
Text Processing with grep, sed and awk
Reading
Advanced Topics
Deeper, more complex material
Regular Expressions in Practice
Reading
Debugging and Hardening Scripts
Reading
Capstone — Automated Server Health-Check Suite
Project
VPC Deep Dive — Subnets, Route Tables, NAT and Security Groups
Reading
RDS and DynamoDB — Relational vs NoSQL for Cloud Workloads
Reading
Practice — Deploy a 3-Tier Architecture with ALB, EC2 ASG and RDS
Exercise
Lab — Provision a Serverless Data Pipeline with Lambda, S3 and DynamoDB
Reading
Production & Scale
Building for the real world
Azure Architecture — Tenants, Subscriptions, Resource Groups and Regions
Reading
Azure Core Services — VNet, VMs, Blob Storage, AKS and Azure Functions
Reading
GCP Hierarchy — Projects, IAM, Billing and Resource Organisation
Reading
GCP Core Services — GCS, GKE, BigQuery, Cloud SQL and Cloud Run
Reading
Multi-Cloud CLI Patterns — Terraform, Cost Management and Cloud Selection
Reading
Practice — Deploy the Cricket Analytics API on Azure and Compare with AWS
Exercise
Mastery & Capstone
Projects and final review
Lab — Deploy a GKE Autopilot Cluster with Workload Identity and Cloud SQL
Reading
Capstone Brief — Design a Production-Ready Cricket Analytics Platform
Project
Architecture Design — Drawing the System and Making Decisions
Exercise
Lab — Provision Core Infrastructure with Terraform
Reading
Lab — Observability, Security Hardening and On-Call Runbook
Reading
Capstone Submission — Complete the Cricket Analytics Platform
Project
100% Free · All lessons unlocked
Topic Overview
What you'll learn
- Core concepts and fundamentals of Linux & Shell Scripting
- Industry best practices and design patterns
- Hands-on exercises with real-world scenarios
- Performance optimization and advanced techniques
- Building production-ready applications