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⚡ Shell Automation Track Beginner–Intermediate AI-Assisted

Shell Scripting
with AI Tools

Master Bash shell scripting for Linux and DevOps automation. From writing your first script to building production-grade automation tools with error handling, logging, and scheduling. AI tools (GitHub Copilot, Claude, ChatGPT) generate scripts from plain English — you learn to review, test, and improve them.

schedule40 Hours
science20+ Labs
workspace_premium3 Real Projects
languageEnglish
terminalHands-on Labs
starstarstarstarstar
4.8 (72 reviews) · 3,200+ enrolled
person Created by Arjun Mehta · Senior Automation Engineer, Shell & Python Expert, 9+ years experience
boltEnroll Now — ₹11,999
code Shell + AI
Shell Automation Track
Bash Scripting Engineering
Bash · sed · awk · cron · grep · Python · Copilot · Claude
40h
Content
20+
Labs
3
Projects
Tools & Technologies
BashsedawkgrepcronfindxargssshcurljqPythonAnsibleCopilotClaudeChatGPT

What you'll learn

check_circle Write production-quality Bash scripts with variables, arrays, functions, and error handling
check_circle Process and transform text data with grep, sed, awk, cut, sort, and other UNIX text tools
check_circle Automate system tasks with cron scheduling, at jobs, and systemd timers
check_circle Build robust file management and backup automation scripts for enterprise environments
check_circle Create log parsing and monitoring scripts that alert on critical system events
check_circle Generate Bash scripts from natural language using GitHub Copilot and Claude
check_circle Integrate shell scripts with cloud CLI tools — AWS CLI, Azure CLI, and kubectl
check_circle Apply best practices — proper quoting, error codes, logging, idempotency, and testing with bats
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20+ Shell Scripting Labs

Hands-on labs writing real scripts for system admin tasks — backup automation, log analysis, user management, and cloud resource reporting on actual Linux servers.

smart_toy

AI Script Generation

Copilot writes Bash functions from comments in real-time. Claude generates complete scripts from task descriptions. You learn to review the output — the critical skill for AI-assisted automation.

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Production-Ready Practices

Every script follows shell best practices — set -euo pipefail, proper quoting, exit codes, logging functions, and unit testing with bats. The patterns used in real enterprise environments.

Course Curriculum

8 Modules · 40 Hours
article Shell basics — shebang, variables, quoting, expansion, and special characters
55:00
article Conditional logic — if/elif/else, test, [[ ]], case statements
50:00
article Loops — for, while, until, break, continue, and loop control
45:00
article Functions — definition, arguments, return values, local variables
40:00
science Lab: Lab: Write a server health dashboard script with Copilot assistance
30:00
article Arrays — declaration, indexing, iteration, associative arrays
50:00
article User input — read, getopts, positional parameters, $@, $#
45:00
science Lab: Lab: Build a CLI menu-driven system administration tool
25:00
article grep — basic and extended regex, options, recursive search, context
55:00
article sed — substitution, deletion, insertion, in-place editing, scripts
55:00
article awk — records, fields, patterns, actions, BEGIN/END, functions
60:00
article Pipelines — combining tools for complex text transformation
40:00
science Lab: Lab: Parse Apache access logs — extract errors, top IPs, and request rates with awk
30:00
article File operations — find, xargs, rsync, tar, compression, checksums
55:00
article Process management — ps, kill, signals, background jobs, wait
45:00
article Disk and filesystem automation — df, du, inotify, and storage alerts
40:00
science Lab: Lab: Build an automated backup and rotation system with integrity checks
30:00
article cron syntax — minute, hour, day, month, weekday, crontab management
50:00
article systemd timers — monotonic and calendar timers, OnCalendar, logging
50:00
science Lab: Lab: Automate a nightly database backup with cron, compression, S3 upload, and alert
40:00
article Network tools — curl, wget, ssh, nc, nmap, and REST API calls in Bash
55:00
article AWS CLI + Azure CLI automation — listing, starting, tagging resources with shell scripts
50:00
science Lab: Lab: Build a cloud resource inventory script using AWS CLI and JSON parsing with jq
35:00
article Best practices — set -euo pipefail, trap, error functions, and exit codes
55:00
article Logging patterns — timestamps, log levels, log rotation, and syslog integration
45:00
article Testing shell scripts with bats-core and AI-generated test cases
40:00
Module Objective: Use GitHub Copilot, Claude, and ChatGPT to generate Bash functions, debug shell errors, create test cases, and build complete automation scripts from task descriptions — then apply critical review skills.
article GitHub Copilot for Bash — inline completions, function generation from comments
45:00
article Claude for complex script generation — reviewing, improving, and securing output
45:00
article ChatGPT for debugging shell errors and explaining complex regex and awk programs
35:00
science Lab: Lab: Generate a complete log monitoring and alerting system with AI assistance
35:00

Tools & Technologies You'll Master

🐚 Bash🔍 grep✂️ sed🦅 awk🔎 find🔧 xargs⏰ cron⚙️ systemd timers🌐 curl/wget📋 jq☁️ AWS CLI🔷 Azure CLI☸️ kubectl🐍 Python🤖 GitHub Copilot🧠 Claude💬 ChatGPT🧪 bats-core

Real-World Projects

monitoring
System Monitoring & Alerting Bash + awk + cron + Email

Build a complete Linux system monitoring suite — CPU, memory, disk, process health — with log parsing, threshold alerting via email/Slack, and automated nightly reports using AI-generated scripts.

cloud
Cloud Resource Inventory Tool Bash + AWS CLI + jq + cron

Create a shell-based cloud inventory tool that queries AWS resources via CLI, formats with jq, generates HTML reports, emails to admins, and schedules nightly with cron — using Copilot throughout.

smart_toy
AI-Generated Automation Platform Claude + Bash + systemd + S3

Build an AI-assisted automation framework where Claude generates scripts from task descriptions, bats validates them, and systemd timers schedule them — with S3 upload for audit trails.

Certification

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Thick Brain Technology — Shell Scripting & AI Automation Certificate

Upon completing all labs and projects, you receive a verified certificate in Shell Scripting with AI Tools — covering Bash automation, text processing, scheduling, and AI-assisted script generation. Recognised by DevOps and Linux admin hiring teams.

check_circleIndustry-recognised check_circleVerifiable check_circleLifetime access

Career Opportunities

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Linux System Administrator

Automate repetitive admin tasks, manage user accounts, monitor systems, and maintain servers with Bash.

engineering

DevOps Engineer

Write automation scripts that glue CI/CD tools together — deployments, notifications, health checks, and reports.

cloud

Cloud Engineer

Automate cloud operations with shell scripts using AWS CLI, Azure CLI, and kubectl from the command line.

terminal

SRE / NOC Engineer

Build monitoring and alerting scripts that detect issues, send notifications, and execute first-response remediations.

sync

Automation Engineer

Combine shell scripts with Ansible, Python, and AI tools for comprehensive IT automation across enterprise environments.

smart_toy

AI-Assisted Engineer

Apply AI tools to generate, review, and improve automation code — the modern engineering productivity skill.

Frequently Asked Questions

Basic Linux command-line familiarity (cd, ls, cat, echo) is helpful but not required. We start from the very beginning of Bash scripting with no programming background assumed.
GitHub Copilot generates Bash functions from comments as you type. Claude takes a plain-English task description and generates a complete script. ChatGPT explains complex regex and sed expressions. The course teaches you to critically review and improve all AI output.
Yes — all labs run on real Linux VMs. You write actual shell scripts that run on real systems, not on simulators.
Absolutely. Shell scripting is the most immediately applicable skill in IT. Most students implement a lab solution at work the same week they learn it.
40 hours of content. Most students complete in 4–5 weeks at 2 hours/day. Lifetime access for future reference.

Student Success Stories

RK
Ramesh K.
starstarstarstarstar

"I generated a complete log rotation and archiving script with Claude in 5 minutes. Used to spend 2 hours writing and debugging this manually. The AI module alone paid for the course."

LP
Lakshmi P.
starstarstarstarstar

"The awk module is the best explanation of awk I've ever seen. Combined with Claude for generating complex awk programs, I can now process any log file in seconds."

TV
Teja V.
starstarstarstarstar

"The cloud CLI automation section is what I needed — using AWS CLI in shell scripts to generate nightly cost reports. Saved my team 3 hours per week of manual work immediately after the course."

₹24,999 52% OFF
₹11,999
Limited time offer · Ends in 2 days
47
hrs
23
min
59
sec
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This course includes:

check_circle 40 hours on-demand content
check_circle 20+ hands-on scripting labs on real Linux VMs
check_circle 3 production automation projects
check_circle AI prompt library for Bash generation
check_circle Pre-configured Linux lab environment
check_circle Certificate of completion
check_circle Lifetime access + script library updates

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