#openshiftai

Greetings from CubenSquare,

As AI and cloud technologies continue to reshape the IT landscape, the demand for professionals who can manage AI/ML workloads on enterprise platforms is rapidly growing. OpenShift AI is emerging as a powerful solution that enables organizations to build, deploy, and scale AI applications efficiently.

To help you stay ahead, CubenSquare brings you a Hands-On OpenShift AI Training Program designed with real-time industry use cases.

💡 Why OpenShift AI?

OpenShift AI combines the power of Kubernetes with AI/ML capabilities, making it easier for enterprises to manage the complete lifecycle of machine learning workloads.

Key benefits include:

Simplified deployment of AI/ML models

Efficient model serving and pipeline management

Scalable and secure enterprise environment

High demand across AI, DevOps, and Cloud roles

📌 What You’ll Learn

This training focuses on practical, real-world implementation:

Build & Deploy ML Workloads

Model Serving & Pipelines

Real-Time Project Implementation

Expert-Led Hands-On Training

🎯 Who Should Join?

DevOps Engineers

Cloud Professionals

AI/ML Enthusiasts

Kubernetes Administrators

Freshers looking to enter AI & Cloud domains

🔥 Program Highlights

First Class FREE for all participants

EMI starts at ₹4000/month

New batch starting Monday 30th Mar 2026

📞 Contact: 9342278992 🌐 Visit: cubensquare.com

If you’re looking to build a strong career in AI integrated with cloud platforms like OpenShift, this program will give you the right foundation, hands-on exposure, and industry-relevant skills.

Take the next step and start your journey into OpenShift AI today!

Most OpenShift engineers have strong fundamentals — they can manage clusters and workloads with confidence. But when it comes to Bare Metal installation, OpenShift Virtualization, and OpenShift AI, there’s a clear gap.

Not due to lack of skill — but because these critical areas aren’t part of typical learning paths, even as industry demand rapidly grows.

Today, enterprises are:

Replacing legacy VM infrastructure with OpenShift Virtualization

Deploying AI/ML workloads using OpenShift AI

Expecting hands-on experience with Bare Metal installations

Engineers who upskill in these areas gain clarity on:

What they’re missing

Where the industry is heading

Which certification path to pursue next

The shift is already happening — those who adapt early will lead it.

Want to see how this works in real-time? Watch here:

The world of AI isn’t just about building smarter models anymore it’s about deploying, scaling, and managing them in production. That’s exactly where Red Hat’s AI267: Developing and Deploying AI/ML Applications on Red Hat OpenShift AI steps in.

And in 2025, this course has become one of the most in-demand certifications for professionals aiming to merge AI and DevOps skills.

🚀 What AI267 Is All About

AI267 is Red Hat’s hands-on training that teaches you how to:

Build and deploy AI/ML models using Red Hat OpenShift AI

Manage pipelines, training environments, and experiments

Handle hybrid and multi-cloud infrastructure for AI workloads

Operate models at scale with reliability and security

It also aligns with the EX267 Certification (Red Hat Certified Specialist in OpenShift AI), validating your ability to work on real-world MLOps and deployment projects.

💡 Why AI267 Is So Popular in 2025

1. The Shift from AI Research to AI Operations

AI used to be all about model accuracy. Now, enterprises want production-ready AI systems models that can scale, update, and run efficiently. AI267 fills this gap by teaching how to integrate machine learning with Kubernetes and OpenShift for real business applications.

2. Hybrid Cloud and OpenShift Boom

Organizations worldwide are embracing hybrid and multi-cloud setups, and Red Hat OpenShift has become a preferred platform. Knowing how to deploy AI models in this environment is now a critical skill not a nice-to-have.

3. Trusted Red Hat Certification

Red Hat certifications have a solid reputation for proving practical skills. The EX267 exam is hands-on, not multiple choice, which means certified professionals can actually deliver not just memorize.

4. Updated for 2025 Trends

The latest version (OpenShift AI 2.13) includes new modules around Large Language Models (LLMs), transfer learning, and AI pipelines keeping it perfectly aligned with the direction AI is moving in.

5. Global Skill Gap in MLOps

While there are plenty of data scientists, there’s a shortage of professionals who can deploy, monitor, and maintain AI systems. That’s why companies are willing to pay more for people who understand both AI and infrastructure the exact blend AI267 teaches.

🌍 India’s AI Education Boom

In India, AI and Data Science courses are among the most sought-after programs in 2025. Thousands of new AI-focused seats in engineering and upskilling institutes are filling up fast. This growing interest translates directly into higher demand for certified AI/ML deployment specialists, especially those skilled in enterprise platforms like Red Hat OpenShift.

⚙️ The Takeaway

If your goal is to: ✅ Work in AI Infrastructure, MLOps, or Cloud Engineering ✅ Learn to deploy and scale ML models in production ✅ Gain a recognized Red Hat credential that opens enterprise doors

Then the AI267 course is absolutely worth your time.

It’s the bridge between AI innovation and reliable deployment and in 2025, that’s exactly where the tech world’s attention (and investment) is focused.

This course provides a comprehensive introduction to container technologies and the Red Hat OpenShift Container Platform. Designed for IT professionals and developers, it focuses on building, deploying, and managing containerized applications using industry-standard tools like Podman and Kubernetes. By the end of this course, you'll gain hands-on experience in deploying applications on OpenShift and managing their lifecycle.

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