Scripting Expert: Python & Shell
“Stop repeating manual tasks. Learn to write powerful scripts that manage servers, automate cloud workflows, and handle data like a pro. From basic commands to advanced AI-driven scripting, become the automation engine of your team.”
- Duration: 6 Weeks (30 Days Mastery)
- Focus: Linux Shell & Python 3.x Integration
- AI Edge: Auto-generate scripts using AI
- Projects: 15+ Real-world Automation Scripts
- Day 1: Linux Terminal & Architecture: The Power of CLI.
- Day 2: Variables, Data Types, and Basic Operators in Bash.
- Day 3: Conditional Logic (If-Else) & Advanced Loops.
- Day 4: Input/Output Redirection & Pipes (
grep,awk,sed). - Day 5: Functions & Error Handling in Shell Scripts.
- Day 6: Scheduling Tasks with Cron Jobs & Systemd.
- Day 7: Managing Users, Permissions, and Files via Scripts.
- Day 8: Network Automation:
curl,wget, and SSH automation. - Day 9: Parsing Logs & Generating Automated System Reports.
- Day 10: Project 1: Building a Multi-Server Health Check Dashboard.
- Day 11: Python Setup & OS/Sys Modules for System Ops.
- Day 12: Data Structures: Lists, Dictionaries, and Tuples.
- Day 13: File Handling: Reading/Writing CSV, JSON, and Text files.
- Day 14: Exception Handling & Robust Code Design.
- Day 15: Python vs. Shell: When to use which tool.
- Day 16: Interacting with the OS using
Subprocess&Shutil. - Day 17: Web Scraping & API Interaction for Data Retrieval.
- Day 18: Automation for Cloud: Introduction to Boto3 (AWS).
- Day 19: Database Automation: Querying SQL/NoSQL via Python.
- Day 20: Project 2: Automating Cloud Resource Provisioning.
- Day 21: Using AI (ChatGPT/Copilot) to write Complex Scripts.
- Day 22: Script Security: Preventing Injection & Data Leakage.
- Day 23: Password Management & Secret Keys in Scripts (Vaults).
- Day 24: Regular Expressions (Regex) for Data Mining.
- Day 25: Multi-threading & Parallel Processing in Scripts.
- Day 26: Version Control (Git) for Script Management.
- Day 27: Packaging Scripts into Executables/CLI Tools.
- Day 28: Creating Custom Python Modules for the Team.
- Day 29: Final Project: Build an AI-Integrated Automation Framework.
- Day 30: Final Assessment & Scripting Certification.
