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Fresh Graduate On-boarding

Linux Shell Scripting for Automation

HRDC Reg. No: 10001673942
Duration: 1 Day (7 Hours)

Course Overview

Linux Shell Scripting for Automation is a hands-on training program designed to equip fresh graduates and junior engineers with practical scripting skills to automate repetitive system and operational tasks.

The course focuses on real-world use cases such as log processing, system monitoring, and workflow automation using Bash and standard Unix tools. Participants will learn how to build, execute, and structure scripts efficiently while leveraging powerful command-line utilities.

Through guided labs and scenario-based exercises, learners will gain the confidence to apply automation techniques immediately in their daily engineering tasks.


Who Should Attend

  • Fresh Graduates (Engineering / IT)
  • Support Engineers
  • System Administrators
  • DevOps / IT Operations Engineers
  • Junior Software Engineers

Why Choose This Course

  • HRDC Claimable Training Program
  • Beginner-friendly scripting course with no prior experience required
  • Strong focus on real-world automation scenarios
  • Hands-on exercises using actual logs and datasets
  • Immediate applicability in DevOps and system operations

HRDC Claimable ID: 10001673942


Learning Outcomes

By the end of this course, participants will be able to:

  • Understand core concepts of Linux shell scripting
  • Create and execute Bash scripts
  • Use variables, loops, and conditional logic effectively
  • Process and filter data using Unix command-line tools
  • Automate repetitive system and operational tasks
  • Develop simple, reusable scripts for daily workflows

Prerequisites

  • Basic familiarity with Linux environment
  • Comfortable using command-line interface
  • No prior scripting experience required

Lab Setup

System Requirements

  • Linux laptop (Ubuntu 20.04 / 22.04 recommended)
  • Minimum 4 GB RAM (8 GB recommended)
  • At least 2 CPU cores

Software Requirements

  • Bash shell
  • Text editor (vim or nano)
  • Standard Unix utilities (grep, awk, sed, cut, sort, uniq)

Lab Environment

  • Pre-configured scripting workspace
  • Sample log files and datasets
  • Predefined automation scenarios

Teaching Methodology

  • Instructor-led demonstrations
  • Hands-on guided scripting exercises
  • Scenario-based automation tasks
  • Progressive labs (basic → applied)
  • Continuous Q&A and feedback

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