Red Hat OpenShift AI Training (AI267)

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Categories Red Hat Courses
Red Hat OpenShift AI Training (AI267)

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Requirements

  • Basic Linux knowledge
  • Basic Kubernetes concepts
  • Basic Python programming
  • Understanding of AI/ML fundamentals (recommended)
  • Familiarity with containers is helpful but not mandatory

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About Course

Learn from a Red Hat Authorized Instructor with 1-year lab access and an exclusive 50% launch offer.

Artificial Intelligence and Machine Learning are transforming the way modern enterprises build, deploy, and manage applications. The Red Hat OpenShift AI Training course helps developers, data scientists, and platform engineers learn how to build, deploy, monitor, and manage AI/ML applications using the enterprise-grade Red Hat OpenShift AI platform.

Designed around the official AI267 curriculum, this course focuses on practical implementation rather than theory. You’ll gain hands-on experience with AI development workflows, model deployment, MLOps practices, containerized machine learning, and scalable AI infrastructure. By completing this Red Hat OpenShift AI Training, you’ll be equipped with the skills needed to develop production-ready AI solutions for modern cloud-native environments.

About Course

Artificial Intelligence and Machine Learning are transforming the way modern enterprises build, deploy, and manage applications. The Red Hat OpenShift AI Training course helps developers, data scientists, and platform engineers learn how to build, deploy, monitor, and manage AI/ML applications using the enterprise-grade Red Hat OpenShift AI platform. Designed around the official AI267 curriculum, this course focuses on practical implementation rather than theory. You'll gain hands-on experience with AI development workflows, model deployment, MLOps practices, containerized machine learning, and scalable AI infrastructure. By completing this Red Hat OpenShift AI Training, you'll be equipped with the skills needed to develop production-ready AI solutions for modern cloud-native environments.
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What I will learn?

  • Deploy AI applications on OpenShift
  • Build enterprise ML pipelines
  • Manage AI lifecycle using MLOps
  • Train machine learning models
  • Deploy scalable inference services
  • Monitor AI applications
  • Containerize AI workloads
  • Work with Kubernetes-based AI infrastructure
  • Optimize AI application performance
  • Build production-ready AI solutions

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Key Features of Training

Red Hat Authorized Trainer
50% Launch Offer
1-Year Lab Access
Instructor-Led Live Sessions
Enterprise AI Projects
Real-Time Labs
Latest AI267 Curriculum
Flexible Batch Timings
Mock Assessments
Certification-Oriented Training

Projects & Labs Included in This Course

AI Model Deployment on OpenShift

Image Classification Application

Machine Learning Pipeline Automation

AI Model Monitoring Dashboard

MLOps CI/CD Pipeline

Enterprise AI Application Deployment

GPU-Based AI Workloads

Containerized ML Applications

Learning Path

1

Linux Administration (RHCSA)

2

Containers & Kubernetes

3

OpenShift Administration

4

Red Hat OpenShift AI Training (AI267)

5

MLOps Engineering

6

Enterprise AI Platform Engineering

7

Senior AI/ML Engineer

Why Choose COSSINDIA

Red Hat Authorized Trainers

1-Year Dedicated Lab Access

50% Launch Offer

Hands-on AI Projects

Industry-Oriented Curriculum

Latest AI267 Course Content

Small Batch Size

Personalized Mentorship

Flexible Learning Schedule

Placement Assistance

Corporate Training Programs

Target Audience

  • AI Engineers
  • Machine Learning Engineers
  • Data Scientists
  • Software Developers
  • Cloud Engineers
  • DevOps Engineers
  • Platform Engineers
  • MLOps Engineers
  • Kubernetes Administrators
  • Working Professionals looking to upskill in Enterprise AI

Frequently Asked Questions

Upcoming Batches

Red Hat OpenShift AI Training (AI267) Online Exam & Certification

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Frequently Asked Questions

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