Linux Shell Scripting Essentials
Master Linux commands and Bash shell scripting fundamentals with hands-on practice using a virtual Linux server accessible through your browser.
Master Linux commands and Bash shell scripting fundamentals with hands-on practice using a virtual Linux server accessible through your browser.
This practical course introduces essential Linux/UNIX shell commands and Bash shell scripting basics. Students learn to work with common Linux commands for file management, text processing, and system administration. Through hands-on labs using a browser-based virtual Linux server, participants master shell scripting concepts including variables, pipes, filters, and automation using cron jobs. The course is designed for data engineers, developers, and IT professionals seeking practical command-line skills for Unix-like operating systems.
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(37 ratings)
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What you'll learn
Master common Linux commands for file and directory management
Create and execute Bash shell scripts for task automation
Understand pipes, filters, and command-line arguments
Implement automated task scheduling using crontab
Work with text processing and networking commands
Develop practical command-line skills for Unix-like systems
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Practice quizzes, Hands-on labs
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There is 1 module in this course
This comprehensive mini-course provides practical training in Linux commands and shell scripting. The curriculum covers essential command-line operations, including file management, text processing, and system administration tasks. Students gain hands-on experience through browser-based virtual labs, learning to create and execute shell scripts, use pipes and filters, and schedule automated tasks using cron jobs. The course emphasizes practical application of Linux skills for real-world scenarios.
Introduction to Linux Commands and Shell Scripting
Module 1
Fee Structure
Instructors
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
Data Engineering and Technology Education Expert
Ramesh Sannareddy serves as a freelance technology educator and content developer, bringing over two and a half decades of experience in Information Technology Infrastructure Management, Database Administration, and Information Integration. After earning his Bachelor's Degree in Information Systems from Birla Institute of Technology, Pilani, he built an impressive career working with leading technology companies including Intergraph, Genpact, HCL, and Microsoft. Currently focused on his passion for teaching, he specializes in developing and delivering courses in Data Science, Machine Learning, Programming, and Databases. His educational impact is evidenced through his extensive course portfolio, which includes specialized programs in Data Engineering, Data Warehousing, Linux Commands, Machine Learning with Apache Spark, and Python Programming. His teaching reaches over 11,800 learners globally, maintaining a strong 4.5 rating for his educational content
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4.5 course rating
37 ratings
Frequently asked questions
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