RH124: Red Hat System Administration I

Master essential Linux system administration skills with expert-led training in Red Hat Enterprise Linux. Enroll in our comprehensive program covering command-line proficiency, user management, network configuration, security implementation, and system troubleshooting for a thorough professional skill set.

Online Jan 26-30, 2026 9:00 AM - 5:00 PM Mohammad Mehdi Lotfinejad
updated
intermediate
RH124: Red Hat System Administration I
We price match

Public Pricing

MYR 8750

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 32500 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2800/day
Material Fees: MYR 600
Total Fees: MYR 14600 ++

Features

5 days
40 modules
1 intake
Full life-time access
English
Technical: 25 pax

Target Audience

engineers
managers

Methodologies

lecture
slides
labs
q&A

Subsidies

HRDC Claimable logo

What you'll learn

  • Navigate the Linux command line and manage files effectively in the file system
  • Configure network settings, implement firewall rules, and secure SSH access
  • Create and manage local users, groups, and configure file access permissions
  • Monitor and control system processes, services, and daemons using systemd
  • Install and update software packages using DNF and manage system repositories
  • Troubleshoot system issues and recover from failures using diagnostic tools
  • Create and mount file systems, manage storage devices, and configure swap space
  • Implement SELinux security policies and apply system security best practices

Why should you attend?

This comprehensive Red Hat System Administration course provides foundational knowledge and hands-on skills for managing Red Hat Enterprise Linux systems. Students will master essential command-line operations, file management, and user administration while gaining proficiency in the Linux operating system environment. The curriculum covers critical system administration tasks including process monitoring, service management, network configuration, and security implementation. Participants will learn to configure SSH for secure remote access, manage system logs for troubleshooting, implement firewall rules, and work with SELinux security policies. The course emphasizes practical skills in software package management, file system operations, and storage device configuration. Advanced topics include system performance tuning, boot process management, task scheduling, and automation through shell scripting. Students will develop troubleshooting expertise using diagnostic tools and systematic methodologies to resolve common system issues. The course also covers backup strategies, remote management techniques, and recovery procedures for system failures. Throughout the training, participants will work with industry-standard tools and best practices that align with Red Hat Certified System Administrator exam objectives, preparing them for real-world Linux administration challenges.

Course Syllabus

Day 1 - Linux Fundamentals and Command Line Basics
Module 1
Module 2
Short Break
15 mins
Module 3
Module 4
Recap and Q&A
15 mins
Lunch
1 hour
Module 5
Module 6
Short Break
15 mins
Module 7
Module 8
Recap and Q&A
15 mins
End of Day 1
Day 2 - File Permissions and Process Management
Module 9
Module 10
Short Break
15 mins
Module 11
Module 12
Recap and Q&A
15 mins
Lunch
1 hour
Module 13
Module 14
Short Break
15 mins
Module 15
Module 16
Recap and Q&A
15 mins
End of Day 2
Day 3 - Software Management and File Systems
Module 17
Module 18
Short Break
15 mins
Module 19
Module 20
Recap and Q&A
15 mins
Lunch
1 hour
Module 21
Module 22
Short Break
15 mins
Module 23
Module 24
Recap and Q&A
15 mins
End of Day 3
Day 4 - Advanced System Administration
Module 25
Module 26
Short Break
15 mins
Module 27
Module 28
Recap and Q&A
15 mins
Lunch
1 hour
Module 29
Module 30
Short Break
15 mins
Module 31
Module 32
Recap and Q&A
15 mins
End of Day 4
Day 5 - Troubleshooting and Comprehensive Review
Module 33
Module 34
Short Break
15 mins
Module 35
Module 36
Recap and Q&A
15 mins
Lunch
1 hour
Module 37
Module 38
Short Break
15 mins
Module 39
Module 40
Recap and Q&A
15 mins
End of Day 5

Instructor

Loading...
Mohammad Mehdi Lotfinejad Chief Data Officer & Data Science Trainer
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
Mohammad Mehdi Lotfinejad is a distinguished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science training. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, he leads the development of sophisticated graph databases, data warehouses, and API solutions that power AI-driven legal case analysis systems. His expertise spans the entire data ecosystem, from architecture design to workflow automation and team leadership. With a robust background encompassing more than a decade of hands-on experience in data engineering and data science, Mohammad has successfully implemented enterprise-scale data processing pipelines across multiple industries and geographies. His professional journey includes senior roles at Axiata Digital Advertising (ADA) in Malaysia, where he designed and deployed data pipelines using AWS Redshift, Snowflake, Apache Spark, and Apache Airflow, and at The Center of Applied Data Science, where he led teams delivering training solutions to major corporations including CIMB, PETRONAS, SHELL, and TNB. Mohammad's technical proficiency is comprehensive and current, encompassing cloud platforms (AWS, Google Cloud), data warehousing solutions (Redshift, Snowflake), big data technologies (Apache Spark, Hadoop, Hive), workflow orchestration (Apache Airflow), and multiple database systems (MySQL, PostgreSQL, MongoDB). He holds a Harvard Business School certification in Business Analytics and multiple AWS certifications, including specialized credentials in Big Data, Data Warehousing, and Practical Data Science with Amazon SageMaker. As an educator, Mohammad brings exceptional depth to his training delivery. His academic career includes faculty positions at Payame Noor University and Islamic Azad University, where he served in leadership roles including Chancellor and Department Head. He has authored three technical books and published numerous peer-reviewed papers in international journals. His teaching repertoire covers data engineering, data science, machine learning, software development, and computer architecture, delivered through engaging, hands-on methodologies that bridge theoretical concepts with practical industry applications. Mohammad's unique combination of executive leadership, technical expertise, and proven training capabilities makes him an invaluable resource for organizations seeking to develop their data science and engineering capabilities. His ability to translate complex technical concepts into actionable learning outcomes, coupled with his extensive real-world implementation experience, ensures that training participants gain immediately applicable skills that drive business value.
8 Students
96 Courses
18 Years

Instructor Reviews

ML

Mohammad Mehdi Lotfinejad

Chief Data Officer & Data Science Trainer

"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."

"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."

"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."

FAQ

Frequently Asked Questions About This Course

Why should you attend?

This comprehensive Red Hat System Administration course provides foundational knowledge and hands-on skills for managing Red Hat Enterprise Linux systems. Students will master essential command-line operations, file management, and user administration while gaining proficiency in the Linux operating system environment. The curriculum covers critical system administration tasks including process monitoring, service management, network configuration, and security implementation. Participants will learn to configure SSH for secure remote access, manage system logs for troubleshooting, implement firewall rules, and work with SELinux security policies. The course emphasizes practical skills in software package management, file system operations, and storage device configuration. Advanced topics include system performance tuning, boot process management, task scheduling, and automation through shell scripting. Students will develop troubleshooting expertise using diagnostic tools and systematic methodologies to resolve common system issues. The course also covers backup strategies, remote management techniques, and recovery procedures for system failures. Throughout the training, participants will work with industry-standard tools and best practices that align with Red Hat Certified System Administrator exam objectives, preparing them for real-world Linux administration challenges.


What you'll learn

  • Navigate the Linux command line and manage files effectively in the file system
  • Configure network settings, implement firewall rules, and secure SSH access
  • Create and manage local users, groups, and configure file access permissions
  • Monitor and control system processes, services, and daemons using systemd
  • Install and update software packages using DNF and manage system repositories
  • Troubleshoot system issues and recover from failures using diagnostic tools
  • Create and mount file systems, manage storage devices, and configure swap space
  • Implement SELinux security policies and apply system security best practices

Course Syllabus

Day 1 - Linux Fundamentals and Command Line Basics
Module 1
Module 2
Short Break
15 mins
Module 3
Module 4
Recap and Q&A
15 mins
Lunch
1 hour
Module 5
Module 6
Short Break
15 mins
Module 7
Module 8
Recap and Q&A
15 mins
End of Day 1
Day 2 - File Permissions and Process Management
Module 9
Module 10
Short Break
15 mins
Module 11
Module 12
Recap and Q&A
15 mins
Lunch
1 hour
Module 13
Module 14
Short Break
15 mins
Module 15
Module 16
Recap and Q&A
15 mins
End of Day 2
Day 3 - Software Management and File Systems
Module 17
Module 18
Short Break
15 mins
Module 19
Module 20
Recap and Q&A
15 mins
Lunch
1 hour
Module 21
Module 22
Short Break
15 mins
Module 23
Module 24
Recap and Q&A
15 mins
End of Day 3
Day 4 - Advanced System Administration
Module 25
Module 26
Short Break
15 mins
Module 27
Module 28
Recap and Q&A
15 mins
Lunch
1 hour
Module 29
Module 30
Short Break
15 mins
Module 31
Module 32
Recap and Q&A
15 mins
End of Day 4
Day 5 - Troubleshooting and Comprehensive Review
Module 33
Module 34
Short Break
15 mins
Module 35
Module 36
Recap and Q&A
15 mins
Lunch
1 hour
Module 37
Module 38
Short Break
15 mins
Module 39
Module 40
Recap and Q&A
15 mins
End of Day 5

Instructor Reviews

Mohammad Mehdi Lotfinejad

Mohammad Mehdi Lotfinejad

Chief Data Officer & Data Science Trainer

"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."

"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."

"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."

We price match

Public Pricing

MYR 8750

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 32500 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2800/day
Material Fees: MYR 600
Total Fees: MYR 14600 ++

Features

5 days
40 modules
1 intake
Full life-time access
English
Technical: 25 pax

Target Audience

engineers
managers

Methodologies

lecture
slides
labs
q&A

Subsidies

HRDC Claimable logo

Instructor

Loading...
Mohammad Mehdi Lotfinejad Chief Data Officer & Data Science Trainer
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
Mohammad Mehdi Lotfinejad is a distinguished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science training. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, he leads the development of sophisticated graph databases, data warehouses, and API solutions that power AI-driven legal case analysis systems. His expertise spans the entire data ecosystem, from architecture design to workflow automation and team leadership. With a robust background encompassing more than a decade of hands-on experience in data engineering and data science, Mohammad has successfully implemented enterprise-scale data processing pipelines across multiple industries and geographies. His professional journey includes senior roles at Axiata Digital Advertising (ADA) in Malaysia, where he designed and deployed data pipelines using AWS Redshift, Snowflake, Apache Spark, and Apache Airflow, and at The Center of Applied Data Science, where he led teams delivering training solutions to major corporations including CIMB, PETRONAS, SHELL, and TNB. Mohammad's technical proficiency is comprehensive and current, encompassing cloud platforms (AWS, Google Cloud), data warehousing solutions (Redshift, Snowflake), big data technologies (Apache Spark, Hadoop, Hive), workflow orchestration (Apache Airflow), and multiple database systems (MySQL, PostgreSQL, MongoDB). He holds a Harvard Business School certification in Business Analytics and multiple AWS certifications, including specialized credentials in Big Data, Data Warehousing, and Practical Data Science with Amazon SageMaker. As an educator, Mohammad brings exceptional depth to his training delivery. His academic career includes faculty positions at Payame Noor University and Islamic Azad University, where he served in leadership roles including Chancellor and Department Head. He has authored three technical books and published numerous peer-reviewed papers in international journals. His teaching repertoire covers data engineering, data science, machine learning, software development, and computer architecture, delivered through engaging, hands-on methodologies that bridge theoretical concepts with practical industry applications. Mohammad's unique combination of executive leadership, technical expertise, and proven training capabilities makes him an invaluable resource for organizations seeking to develop their data science and engineering capabilities. His ability to translate complex technical concepts into actionable learning outcomes, coupled with his extensive real-world implementation experience, ensures that training participants gain immediately applicable skills that drive business value.
8 Students
96 Courses
18 Years

FAQ

Frequently Asked Questions About This Course

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