AI & Linux Fundamentals

Module Overview

This foundational module establishes two critical pillars for your journey: AI literacy and Linux proficiency. You'll learn to leverage AI as a powerful learning accelerator while building essential command-line skills that every modern engineer needs. Master the fundamentals of generative AI, set up your development environment, and develop automation skills through shell scripting.

Essential Foundation

Understanding AI & Large Language Models

Theory + Hands-on

Overview

Master the fundamentals of Large Language Models (LLMs) and their practical applications in software development. Learn how to leverage AI tools effectively while understanding their capabilities and limitations. This topic establishes a universal baseline of generative AI literacy and prompt engineering skills.

Learning Resources

Course Title Provider Description Level Mandatory Action
Introduction to Generative AI
Google
A comprehensive introduction to generative AI concepts, focusing on transformer architecture and practical applications.
Beginner Required Start Learning
ChatGPT Prompt Engineering for Developers
DeepLearning.AI
Learn systematic approaches to writing effective prompts for technical tasks, with hands-on exercises focused on software development.
Beginner Required Start Learning
Microsoft Azure AI Fundamentals: Generative AI
Microsoft
Understand GenAI from a developer's perspective within a major cloud ecosystem, covering LLMs and transformers.
Intermediate Optional Start Learning
Building with Claude: Developer Course
Anthropic
Learn advanced prompting techniques for building safer, more predictable applications with structured prompts.
Advanced Optional Start Learning

Practical Exercise

AI Mastery Challenge
  1. Set up accounts on ChatGPT, Claude, and Gemini
  2. Complete both required courses and take detailed notes
  3. Create a structured prompt template library for development tasks
  4. Test prompts with different AI models and document variations
  5. Build a comparison matrix of AI model strengths and limitations
Start Exercise

Linux Environment Setup

Hands-on

Overview

Set up a foundational Linux development environment using either virtual machines or Windows Subsystem for Linux (WSL). Learn to configure your system for optimal development workflow and establish the essential tools needed for the program.

Learning Resources

Course Title Provider Description Level Mandatory Action
Install Ubuntu on WSL
YouTube
Step-by-step guide to installing WSL and Linux distributions like Ubuntu from the command line.
Beginner Required Start Learning
WSL Setup & Troubleshooting
YouTube
Essential troubleshooting guide for WSL installation issues by enabling required Windows features.
Beginner Required Start Learning
Basic Ubuntu Installation
Ubuntu Official
Authoritative guide for installing Ubuntu Server on a dedicated machine or VM with system requirements.
Intermediate Optional Start Learning

Environment Setup Challenge

Complete Development Environment
  1. Install and configure WSL with Ubuntu distribution
  2. Verify Linux installation and basic command access
  3. Install essential development tools (git, curl, wget)
  4. Configure terminal preferences and shell environment
  5. Document your setup process for future reference
Start Challenge

Command Line Mastery

Essential

Overview

Master essential commands for navigating the filesystem, managing files, processes, and performing common administrative tasks. Build proficiency with the tools that form the foundation of modern software development workflows.

Learning Resources

Course Title Provider Description Level Mandatory Action
Command line for beginners
Ubuntu Official
Official tutorial covering basic file manipulation, navigation, and safe usage of administrator powers with sudo.
Beginner Required Start Learning
Linux Journey
Interactive Website
Interactive website providing structured, self-paced learning from Grasshopper (basics) to advanced topics.
Beginner Required Start Learning
The Linux Command Line (Book)
William Shotts
Comprehensive 594-page guide covering shell usage, scripting, and advanced topics. Available as free PDF.
Intermediate Optional Start Learning
Linux Commands Cheat Sheet
GeeksForGeeks
Well-organized quick reference with commands grouped by function and practical examples.
All Levels Reference Start Learning

Command Mastery Challenge

Essential Linux Commands Mastery
  1. File System Navigation (cd, ls, pwd, find)
  2. File Operations (cp, mv, rm, mkdir, rmdir)
  3. Text Processing (grep, sed, awk, sort, uniq)
  4. Permissions & Ownership (chmod, chown, chgrp)
  5. Process Management (ps, top, htop, kill, jobs)
  6. Network and System Info (netstat, df, du, free)
Start Challenge

Shell Scripting & Automation

Advanced

Overview

Learn to automate tasks and enhance productivity through shell scripting. Master Bash scripting fundamentals, control structures, and create practical automation tools. This topic also covers using AI as a learning accelerator and troubleshooting partner.

Learning Resources

Course Title Provider Description Level Mandatory Action
Shell Scripting Tutorial for Beginners
YouTube
Comprehensive 45-lesson video course covering variables, control structures, and case statements.
Beginner Required Start Learning
Bash Guide Best Practices
Wooledge.org
Essential guide for writing high-quality, reliable shell scripts and avoiding common pitfalls.
Intermediate Required Start Learning
explainshell.com
Interactive Tool
Interactive web tool that breaks down any shell command and matches each part to its help text.
All Levels Tool Start Learning
Bash Best Practices (Clean Code)
bertvv.github.io
Developer-focused guide emphasizing Clean Code principles, variable scoping, and safety practices.
Advanced Optional Start Learning

Automation Project

Development Environment Automation Suite
  1. Project scaffolding script (create directory structure, initialize git)
  2. Development environment setup automation (install dependencies)
  3. Git hooks for code quality (pre-commit formatting, linting)
  4. Log rotation and cleanup scripts (manage system logs)
  5. Backup and restore utilities (automated project backups)
  6. AI-assisted debugging: Use ChatGPT/Claude for script troubleshooting
Start Project