EX267: Red Hat Certified OpenShift AI

Experience Real-World Simulations Get Redhat Certified Today!

Full Course Training with Exam
Placement Assistance
Globally Benchmark Certification

353 reviews3.7

Register Now for Redhat Certifications

Flexible Learning Modes to Fit Your Schedule

Interactive Classroom Sessions
Live Virtual Instructor-Led Classes
Self-Guided Online Modules
Corporate Onsite Training

Why Red Hat OpenShift AI Training from GRRAS?

Build in-demand AI and machine learning skills with Red Hat OpenShift AI (EX267) training from GRRAS. Learn how to design, train, deploy, and manage AI/ML workloads on OpenShift through hands-on labs covering data science projects, model training, model serving, and automated ML pipelines. This exam-focused, real-world training helps you master OpenShift AI tools such as Jupyter notebooks, model servers, and Kubeflow pipelines, enabling you to earn a globally recognized Red Hat certification and prepare for modern roles in AI engineering, MLOps, and cloud-native data science.

Course Snapshot

The Red Hat Certified Specialist in OpenShift AI (EX267) course delivers focused, hands-on training to help you build, train, deploy, and manage AI and machine learning workloads on Red Hat OpenShift. Through practical labs and real-world scenarios, you will learn to work with data science projects, Jupyter notebooks, model training, model serving, and automated ML pipelines—developing the skills required to run enterprise-grade AI solutions on a modern OpenShift platform.

EX267 Syllabus Structure

What is Red Hat OpenShift AI (EX267)?

The Red Hat Certified Specialist in OpenShift AI (EX267) training is a hands-on, exam-focused program designed to teach you how to build, train, deploy, and manage AI and machine learning workloads on Red Hat OpenShift. This course enables organizations to operationalize AI models at scale using a secure, cloud-native platform.

Through structured modules and real-world labs, you will learn to create data science projects, work with Jupyter notebooks, train machine learning models, deploy models for inference, and automate ML workflows using pipelines within OpenShift AI environments.

Course Structure & Timeline

Total Duration: 32+ hours of instructor-led OpenShift AI training
Regular Format: 16 days (ideal for working professionals)
Fast-Track Format: 5 days (accelerated, intensive program)
Delivery Mode: Hands-on labs, guided demonstrations, and exam-oriented practice
Technology Stack: Red Hat OpenShift Container Platform, Red Hat OpenShift AI, Jupyter, Kubeflow Pipelines (exam-aligned version)

Who Should Enroll

Data Scientists: Professionals developing and training machine learning models
ML Engineers & MLOps Engineers: Practitioners operationalizing ML models on OpenShift
AI & Analytics Professionals: Teams building AI-driven applications and workflows
DevOps & Platform Engineers: Engineers supporting AI workloads on Kubernetes and OpenShift
Cloud & OpenShift Administrators: Admins managing AI platforms and resources
Certification Aspirants: Learners preparing for the Red Hat EX267 certification exam

Introduction to Red Hat OpenShift AI

Understand OpenShift AI architecture and core components
Explore key services and platform capabilities
Integrate OpenShift AI with OpenShift Container Platform

Data Science Projects

Create and manage data science projects in OpenShift AI
Work with workbenches and data connections
Perform hands-on project and data setup exercises

Jupyter Notebooks

Use Jupyter notebooks for AI/ML development
Collaborate and share notebooks across teams
Build and test notebooks through guided labs

Red Hat OpenShift AI Installation

Install OpenShift AI components
Configure and validate platform installation
Verify setup using guided exercises

User and Resource Management

Manage users, roles, and permissions
Allocate and monitor compute and storage resources
Control resource limits and access efficiently

Custom Notebook Images

Create and import custom notebook images
Configure dependencies and runtime environments
Build and test images using guided labs

Introduction to Machine Learning

Understand core ML concepts and workflows
Learn data preprocessing, training, and evaluation
Manage ML lifecycle within OpenShift AI

Training Models

Train ML models using OpenShift AI workbenches
Use preconfigured and custom training environments
Develop and test models through hands-on labs

Enhancing Model Training with OpenShift AI

Monitor workbench and training resources
Scale and optimize ML workloads
Track and visualize training performance metrics

Introduction to Model Serving

Understand AI model serving fundamentals
Save and manage trained models for inference
Deploy and test models using guided labs

Model Serving in Red Hat OpenShift AI

Deploy and manage models using model servers
Consume models via APIs for predictions
Create and manage multiple model servers

Introduction to Data Science Pipelines

Understand purpose and structure of ML pipelines
Create pipelines for automated workflows
Connect stages of data science projects

Working with Pipelines

Build pipelines using Kubeflow SDK
Design workflows with Elyra visual pipelines
Create and run custom pipelines in labs

Controlling Pipelines and Experiments

Manage pipeline artifacts and parameters
Create and monitor ML experiments
Evaluate and optimize pipeline runs

EX267: Red Hat Certified OpenShift AI Tool Kits

Automation

Configuration

Get ahead in your career by learning Top AI Tools Title

ChatGPT & Gemini to explore datasets, analyse data, generate code, and develop models
Debugcode.ai to solve any coding problem within seconds

Professional Certificate to Boost Your Career

Get certified by Grras Solutions, a trusted name in professional upskilling and IT training. Our certificate authenticates your ability to analyze, build, and implement real-world solutions. Gain confidence to excel in interviews and advance your career path.

14+ Year

Red Hat Partner
100+

Certified Trainers
1000+

Certifications Done Candidates

Why Choose Grras? From Learning to Certification — The Right Way

Learn from industry-certified experts and gain globally recognized Red Hat certifications with hands-on training designed to accelerate your IT career.

Improved Competencies

Gain practical, job-ready Linux and cloud skills through hands-on labs.

Global Recognition

Earn Red Hat certifications that are valued by employers worldwide.

Career Advancement

Upgrade your role, salary potential, and career opportunities.

Global Networking

Become part of the global Red Hat professional ecosystem.

Certified Instructors

Learn directly from experienced and certified Red Hat trainers.

Remote Cloud Labs

Practice anytime, anywhere using official Red Hat cloud labs.

Flexible Learning

Choose weekday or weekend batches with self-paced learning support.

Exam Bootcamp

Take Red Hat exams remotely from anywhere within one year of enrollment.

Exclusive Student Perks

Training + Exam Combo Offer

Get the advantage of bundled Red Hat training with exam vouchers. Learn, practice, and certify through a cost effective combo designed to maximize your success.

Completion Certificate

Receive an industry recognized course completion certificate after finishing your training. Showcase your skills and enhance your professional credibility.

Red Hat Merchandise

Enjoy exclusive Red Hat branded merchandise as part of your learning journey. A token of achievement that celebrates your progress and commitment.

Completion Certificate

Gain real world experience through guided hands on labs. Practice on live Red Hat environments to build practical skills that employers value.

Alumni Placed candidates

View All

This success story highlights the power of real-world DevOps skill-building and job guarantee programs that can transform your tech career!

See how dedication and the right training helped Lalit achieve his dream job at a global tech company a must-watch for every aspiring tech professional!

Struggling to get DevOps job interviews despite learning the skills? This video breaks down the common pitfalls in resumes and interview confidence and shows you how to fix them for real-world success!

Please read the following instructions carefully before you begin the test.

The test consists of a set number of multiple-choice questions.
Each question has four options, out of which only one option is correct.
You must complete the test within the allocated time limit.
You will be awarded 4 marks for each correct answer.
There is no negative marking for incorrect answers.
Ensure you have a stable internet connection before starting the test.
Once you begin, the timer will start automatically, and you cannot pause or restart the test.

Why Take This Test? (How It Helps You)

🏆 Boost Confidence: Regular testing helps you build accuracy, reduce exam fear, and strengthen conceptual understanding.
🕒 Time Management: Learn to solve questions effectively under real-time pressure.
📊 Performance Insight: Identify your strong and weak areas for focused improvement.
🎯 Exam-Like Experience: Experience a realistic test environment with structured scoring.
📚 Smart Preparation: Refine your study strategy using feedback and detailed analytics.