Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) Training in Bahrain

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 3 Days
  • Level: Intermediate
  • Price:
  • Upcoming Date:

Gain essential skills in developing, training, and deploying AI and Machine Learning (ML) applications using Red Hat OpenShift AI.

The course “Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267)” equips participants with the foundational knowledge needed to design, train, and manage AI/ML models in OpenShift’s enterprise-grade environment.
Through guided labs and hands-on projects, students learn how to build data-driven workflows and automate model deployment efficiently.

This course is based on Red Hat OpenShift® 4.16 and Red Hat OpenShift AI 2.13.



For corporate groups, we can organize this training as an on-site private group.
HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

Prerequisites

  • Experience with Git.

  • Experience in Python programming or completion of Python Programming with Red Hat (AD141).

  • Familiarity with OpenShift development or completion of Red Hat OpenShift Developer II (DO288).

  • Basic understanding of AI, ML, and Data Science is recommended.

Who Should Attend

This course is ideal for:

  • Data Scientists and AI Specialists who want to train and deploy ML models on OpenShift AI.

  • Developers building AI-enabled applications.

  • MLOps Engineers responsible for managing the ML lifecycle.

  • AI Practitioners automating end-to-end data science workflows.

What You Will Learn

  • Introduction to Red Hat OpenShift AI

  • Data Science Projects and Workbenches

  • Jupyter Notebooks for Interactive Development

  • Installing Red Hat OpenShift AI

  • Managing Users and Resource Allocations

  • Creating Custom Notebook Images

  • Introduction to Machine Learning

  • Training ML Models

  • Enhancing Model Training with RHOAI

  • Model Serving Concepts and Deployment

  • Serving ML Models in Red Hat OpenShift AI

  • Introduction to Data Science Pipelines

  • Creating and Managing Pipelines

  • Controlling Pipelines and Experiments


Organizational Impact

Modern enterprises gather massive amounts of data from multiple sources.
With Red Hat OpenShift AI, organizations can leverage this data to analyze trends, visualize insights, and predict business outcomes using advanced AI and ML techniques — all while maintaining operational security and scalability.


Individual Impact

By completing this course, you will:

  • Understand the architecture and key components of Red Hat OpenShift AI.
  • Learn to install, configure, and manage OpenShift AI and its resources.
  • Gain hands-on experience training, deploying, and serving ML models.
  • Apply machine learning best practices using RHOAI.
  • Create and manage data science pipelines for automated workflows.


Training Outline

1. Introduction to Red Hat OpenShift AI
Identify OpenShift AI’s main features, components, and overall architecture.

2. Data Science Projects
Organize and manage project code, configurations, and data connections using workbenches.

3. Jupyter Notebooks
Execute, visualize, and test code interactively through Jupyter environments.

4. Installing Red Hat OpenShift AI
Install and configure OpenShift AI components for AI/ML workloads.

5. User and Resource Management
Administer user access and control compute resource allocations.

6. Custom Notebook Images
Create, customize, and import notebook images for specialized workloads.

7. Introduction to Machine Learning
Learn ML fundamentals, key algorithms, and workflow design.

8. Training Models
Train models using standard or custom workbenches within RHOAI.

9. Enhancing Model Training with RHOAI
Implement best practices in ML and data science using Red Hat OpenShift AI tools.

10. Introduction to Model Serving
Explore the principles and components needed to serve trained models.

11. Model Serving in OpenShift AI
Deploy and manage production-ready models in OpenShift AI environments.

12. Data Science Pipelines
Set up data pipelines for end-to-end automation and reproducibility.

13. Working with Pipelines
Build pipelines using Kubeflow SDK and Elyra.

14. Controlling Pipelines and Experiments
Track metrics, artifacts, and experiments for ML lifecycle management.

Why Choose Us

Leading UK-based global training provider since 1995.

Experience Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) in Bahrain through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from Bahrain or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) through face-to-face Classroom Based training in Bahrain. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) in Bahrain as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in Bahrain or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.
Contact us for more detail about our trainings and for all other enquiries!

Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) Training Course in Bahrain Schedule

Join our public live virtual trainings remotely from Bahrain. Private group trainings can also be organized at your preferred location in Bahrain, around your schedule.

For corporate groups, we can organize this training as an on-site private group.
20 October 2026 (3 Days)
Manama
19 November 2026 (3 Days)
Manama
25 January 2027 (3 Days)
Manama
04 February 2027 (3 Days)
Manama
15 February 2027 (3 Days)
Manama
14 April 2027 (3 Days)
Manama
18 April 2027 (3 Days)
Manama
19 April 2027 (3 Days)
Manama

Bahrain has positioned itself as the pioneering fintech and cloud capital of the Middle East, with Manama hosting the region’s first dedicated fintech hub, Bahrain FinTech Bay. As the first country in the region to adopt a 'Cloud First' policy, Bahrain has attracted global giants like AWS to establish massive data center infrastructures on its shores. The University of Bahrain and various national initiatives are focused on cultivating a workforce that is highly proficient in blockchain, open banking, and cybersecurity. Our IT education services in Bahrain are tailored to this innovation-driven market, offering advanced curriculum in Cloud Engineering, DevOps, and Information Security. We empower professionals in the Kingdom to take the lead in a digital-first economy that consistently sets the benchmark for regulatory technology and financial innovation across the Gulf.

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