#ai267

Artificial Intelligence is evolving rapidly, but building an AI model is only the first step. The real challenge is deploying, managing, monitoring, and scaling AI applications in production. That's why organizations are increasingly adopting Red Hat OpenShift AI to streamline enterprise AI workflows and implement MLOps efficiently.

To help professionals understand this transformation, COSSINDIA is hosting a FREE LIVE Webinar on Developing & Deploying AI/ML Applications on Red Hat OpenShift AI (AI267).

📖 Read the full blog: https://www.cossindia.net/red-hat-openshift-ai-webinar-ai267/  

What You'll Learn

Enterprise AI & MLOps fundamentals

Developing and deploying AI applications on OpenShift AI

AI model serving and deployment

AI pipelines and Kubernetes integration

Real-world enterprise AI use cases

Who Should Attend?

AI & Machine Learning Engineers

Developers

DevOps & MLOps Engineers

Cloud & Platform Engineers

OpenShift Administrators

IT professionals exploring Enterprise AI

Why Attend?

The webinar will be led by Daleep Singh Bais, an Industry Professional from Red Hat, who will share practical insights into how organizations build, deploy, and manage AI applications at scale using OpenShift AI.

Why COSSINDIA?

As an Authorized Red Hat Training Partner, COSSINDIA provides official Red Hat training, hands-on labs, certification guidance, and industry-focused learning to help professionals build job-ready skills.

📅 Date: 1st August 2026 🎙 Topic: Developing & Deploying AI/ML Applications on Red Hat OpenShift AI (AI267)

👉 Read the complete article & register here:https://docs.google.com/forms/d/e/1FAIpQLSf_1UhctlvOqMXbsXcgWOjDhRNnFRIRA3-fgYl9JZHZuGm7UQ/viewform

If you're planning to build a career in Enterprise AI, MLOps, Kubernetes, or cloud-native application development, learning Red Hat OpenShift AI (AI267) is a great choice.

Many professionals already know Python and machine learning basics, but organizations today are looking for engineers who can deploy, manage, monitor, and scale AI applications in production. That's where Red Hat OpenShift AI comes in.

What you'll learn:

Develop AI/ML applications

Deploy AI models on OpenShift

Build MLOps workflows

Manage Kubernetes-based AI infrastructure

Containerize AI applications

Monitor and scale enterprise AI deployments

These skills are becoming increasingly valuable across industries like banking, healthcare, manufacturing, retail, and cloud computing.

📘 Learn more about the AI267 course: https://www.cossindia.net/courses/openshift-ai-training-ai267

🎟️ FREE Webinar Registration: https://www.eventbrite.com/e/ai267-webinar-developing-deploying-aiml-applications-on-red-hat-tickets-1994293911775?aff=oddtdtcreator

📝 Quick Registration (Google Form): https://forms.gle/YjxGWRSVMQik3uim7

🌐 Explore More Red Hat Courses: https://www.cossindia.net/all-courses/

Everyone is talking about Artificial Intelligence. Almost everyone is learning how to build AI models. But here's what employers are actually looking for—professionals who can build, deploy, and manage AI applications in real production environments.

Training a model is just one part of the AI journey. The real challenge begins when you need to deploy that model securely, scale it across cloud infrastructure, automate workflows, and monitor its performance. That's where Red Hat OpenShift AI Training gives you a competitive advantage.

With AI267 – Developing and Deploying AI/ML Applications on Red Hat OpenShift AI, you'll move beyond notebooks and prototypes to learn how enterprises build production-ready AI solutions using OpenShift AI, Kubernetes, MLOps, and cloud-native technologies.

What you'll learn:

✅ Develop and deploy enterprise AI/ML applications ✅ Manage AI workloads with Red Hat OpenShift AI ✅ Implement MLOps best practices for automation and deployment ✅ Orchestrate AI applications using Kubernetes ✅ Build secure, scalable, cloud-native AI solutions

Whether you're an AI Developer, Machine Learning Engineer, DevOps Engineer, Cloud Professional, or Data Scientist, this training helps you gain practical, job-ready skills that align with today's enterprise AI requirements.

At COSSINDIA, a Red Hat Authorized Training Partner, you'll learn through instructor-led sessions, hands-on labs, and real-world enterprise use cases designed to prepare you for the next generation of AI careers.

🔗 Course Details: https://www.cossindia.net/courses/openshift-ai-training-ai267?utm_source=linkedin&utm_medium=Red-Hat-OpenShift-AI-Training-AI267

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.