Red Hat OpenShift AI Training Certification course

8 Lesson

25 Hours

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igmGuru offers OpenShift AI Training, where you will learn how to develop, deploy, and manage AI and Machine Learning models on the Red Hat OpenShift platform. This training is delivered by industry experts who have more than 15 years of experience. In this course, you will also learn how to run AI models using containers and Kubernetes. This training explains the MLOps workflow to help make AI projects scalable and secure. After completing this training, you will be eligible for job roles such as MLOps Engineer, AI/ML Engineer, DevOps Engineer, and Cloud Engineer.

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OpenShift AI Course Overview

Prerequisites

Understanding of Linux or operating systems
Basic knowledge of containers and Kubernetes
Knowledge of Python or Machine Learning
Understanding of cloud computing

What Will You Learn

Introduction to Red Hat OpenShift AI
Developing and deploying AI/ML models on OpenShift
Running AI workloads using containers and Kubernetes
Understanding MLOps workflows
Managing, monitoring, and scaling AI projects securely

Key Features

1 On 1 Training Option Available
24 X 7 Lifetime Support & Access
Small Batches Upto 10 Participants
Experienced & Professional Trainers
100% Job Assistance
Flexible Schedule

Course Curriculum

Lesson 1 - Introduction to OpenShift AI

1. Overview of Red Hat OpenShift AI

2. AI/ML lifecycle on OpenShift

3. OpenShift AI architecture and components

4. Use cases and real-world applications

Lesson 2 - OpenShift & Kubernetes Foundations

1. OpenShift basics for AI workloads

2. Kubernetes concepts for data science

3. Containers and pod management

4. Resource management and scaling

Lesson 3 - Installation and Configuration of OpenShift AI

1. Deploying the OpenShift AI operator

2. User and project configuration

3. Resource allocation and access control

4. Environment setup for data science teams

Lesson 4 - Data Science Projects & Workbenches

1. Creating and managing data science projects

2. Using Jupyter notebooks (workbenches)

3. Environment customization

4. Managing datasets and experiments

Lesson 5 - Model Development & Training

1. Building ML models on OpenShift AI

2. Using frameworks like TensorFlow and PyTorch

3. Model training workflows

4. Experiment tracking and versioning

Lesson 6 - Model Serving & Deployment

1. Deploying trained models to production

2. Model serving options in OpenShift AI

3. Scaling and performance optimization

4. Monitoring deployed models

Lesson 7 - MLOps and Pipeline Automation

1. Introduction to MLOps concepts

2. Creating reproducible ML pipelines

3. CI/CD integration for ML workflows

4. GitOps-based automation

Lesson 8 - Security, Monitoring, and Governance

1. Securing AI workloads

2. Monitoring model performance

3. Logging and observability

4. Governance and compliance basics

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Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 25 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 12 Jul 2026
Weekday Batch 13 Jul 2026
Weekend Batch 18 Jul 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

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Want to know Today's Offer

OpenShift AI Certification

Our training prepares you for the Red Hat Certified Specialist in OpenShift AI (EX267) certification exam. This is an official, performance-based certification that validates your ability to install, configure, manage, and deploy AI/ML models using Red Hat OpenShift AI in a real-world environment.

Official certification name:

Red Hat Certified Specialist in OpenShift AI (EX267)

Certification Exam Details are as below:

Duration: 3 hours
Passing Score: 210 out of 300 (70%)
Exam format: Online

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Red Hat OpenShift AI Training Certification course