RHO052

Red Hat OpenShift Administration I: Operating a Production Cluster

Q: What will I learn in this Red Hat OpenShift Administration course?

This comprehensive 4-day course will teach you to operate and manage Red Hat OpenShift production clusters effectively. You'll gain hands-on experience with Kubernetes fundamentals, OpenShift architecture, and cloud-native application deployment. Key topics include container and pod management, CLI and web console proficiency, application deployment and networking, storage management with persistent volumes, ConfigMaps and Secrets, troubleshooting techniques, application reliability through health probes and scaling, and various deployment strategies including rolling updates, blue-green, and canary releases. You'll also learn production operations best practices, monitoring, logging, and incident response procedures.

Q: What are the prerequisites for this course?

This is an intermediate-level course designed for IT professionals with an undergraduate qualification or equivalent experience. You should have basic familiarity with Linux systems administration, fundamental understanding of containerization concepts, and general IT infrastructure knowledge. Prior experience with command-line interfaces and basic networking concepts will help you get the most out of the training. The course is ideal for engineers and mid-level managers who need to operate OpenShift clusters in production environments.

Q: Who should attend this OpenShift Administration course?

This course is specifically designed for IT engineers and mid-level managers who are responsible for operating, managing, or supporting Red Hat OpenShift clusters in production environments. It's ideal for system administrators, DevOps engineers, site reliability engineers (SREs), cloud infrastructure specialists, and technical managers who need to understand OpenShift operations to collaborate effectively with development teams and maintain cloud-native application platforms.

Q: How is this course delivered and what teaching methods are used?

The course uses a comprehensive blended learning approach that includes instructor-led lectures, presentation slides for theoretical concepts, extensive hands-on labs for practical experience, and Q&A sessions to address specific questions and scenarios. This multi-methodology approach ensures you gain both theoretical knowledge and practical skills needed to confidently operate OpenShift clusters in real-world production environments.

Q: What practical skills will I gain by the end of this course?

By completion, you'll be able to deploy and manage containerized applications using Kubernetes and OpenShift, monitor and maintain production clusters following best practices, establish application reliability through health probes and scaling strategies, implement storage solutions using persistent volumes, configure networking services and security policies, execute various application update strategies (rolling, blue-green, canary), and troubleshoot common cluster issues including networking, storage, and application failures. These are essential skills for modern cloud-native infrastructure operations.

Q: How long is the course and what is the time commitment?

The course runs for 4 days , providing intensive, focused training on OpenShift cluster operations. This duration allows for comprehensive coverage of both fundamental and advanced topics, with ample time for hands-on labs and practical exercises that simulate real-world production scenarios. The immersive format ensures you can quickly build the competencies needed to operate OpenShift clusters effectively.

Q: Does this course include certification?

This particular course is not a certified training program and does not include a certification exam. However, it provides essential practical knowledge and skills for operating Red Hat OpenShift production clusters. The hands-on experience and comprehensive curriculum prepare you well for real-world OpenShift operations and can serve as excellent preparation if you choose to pursue Red Hat certification paths independently in the future.

Q: Where is the training conducted?

Our online trainings are conducted usually using Zoom or Google Meet. Our physical trainings are normally held in Common Ground, Bangsar South .

Q: Can international participants join this course?

Please check the Available in section to see which countries the course is available in. If your country is not listed, please contact us.

Q: What is the difference between public, corporate, and training provider pricing?

Public pricing : applies for individuals signing up from different companies. Corporate pricing : applies if a company wants to have an intake for its employees only. Training provider pricing : applies only for other training providers looking to hire our trainers and use our content. Our content has a licensing fee.

Master production-level OpenShift cluster operations with expert-led training. Enroll in our comprehensive program designed to build your expertise in container orchestration, application deployment, networking, storage management, and reliability engineering. Gain the practical skills demanded by modern cloud-native infrastructure teams.

Available in:
Malaysia

Upcoming intakes:
Jan 26, 2026
Jan 27, 2026

Online Jan 26-29, 2026 9:00 AM - 5:00 PM Mohammad Mehdi Lotfinejad

Created: November 12th 2025, 12:11 PM MYT Last Modified: January 21st 2026, 6:02 AM MYT

updated

intermediate

Red Hat OpenShift Administration I: Operating a Production Cluster

We price match

Public Pricing

MYR 7000

Corporate Pricing

Pax:

Training Fees: MYR 6500/day

Total Fees: MYR 39000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2800/day

Material Fees: MYR 600

Total Fees: MYR 17400 ++

Features

6 days

48 modules

2 intakes

Full life-time access

English

Technical: 25 pax

Target Audience

engineers

managers

Methodologies

lecture

slides

labs

q&A

Subsidies

What you'll learn

Deploy and manage containerized applications using Kubernetes and OpenShift
Monitor and maintain production OpenShift clusters following operational best practices
Establish application reliability through health probes and scaling strategies
Implement storage solutions using persistent volumes and configuration resources
Configure networking services, routes, and network policies for secure access
Execute application updates using rolling, blue-green, and canary deployments
Troubleshoot cluster issues including networking, storage, and application failures

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

( 3 ratings )

100%

( 3 reviews )

Instructor Reviews

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

What will I learn in this Red Hat OpenShift Administration course?

What are the prerequisites for this course?

Who should attend this OpenShift Administration course?

How is this course delivered and what teaching methods are used?

What practical skills will I gain by the end of this course?

How long is the course and what is the time commitment?

Does this course include certification?

Where is the training conducted?

Can international participants join this course?

What is the difference between public, corporate, and training provider pricing?

Do I have to pay right away?

I just enrolled in an intake. Does that mean I can attend the course on that date?

What happens if quorum for an intake is not reached?

Why should you attend?

What you'll learn

Deploy and manage containerized applications using Kubernetes and OpenShift
Monitor and maintain production OpenShift clusters following operational best practices
Establish application reliability through health probes and scaling strategies
Implement storage solutions using persistent volumes and configuration resources
Configure networking services, routes, and network policies for secure access
Execute application updates using rolling, blue-green, and canary deployments
Troubleshoot cluster issues including networking, storage, and application failures

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