Exploring AI with Red Hat OpenShift AI

[SaleemAhmad]

I have been working in the field of AI for the past few years, and now I want to take the next step — to build, develop, and deploy AI models using Red Hat OpenShift AI.

Currently, I’m exploring:
Training & Certification opportunities in Red Hat OpenShift AI
How to best upskill in model development, deployment, and MLOps on OpenShift AI
The future market potential and career scope in OpenShift AI

If anyone has experience with Red Hat OpenShift AI training/certification or insights into its market demand and adoption trends, I would really appreciate your guidance and support. 

[Chetan_Tiwary_]

Taking the Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) course and then sitting for the Red Hat Certified Specialist in OpenShift AI (EX267) certification makes strong sense because it aligns your current OpenShift/linux skills with the next big wave: operationalising AI/ML workloads on Kubernetes. The course gives you hands-on experience in installing, configuring and managing OpenShift AI, creating data-science pipelines, training and serving models.

By passing the exam you validate your ability to deploy OpenShift AI and support AI/ML-enabled applications, a capability that stands out in cloud/infra plus platform roles.

In short: you boost your value not just as an OpenShift admin, but as an MLOps-/AI-platform specialist  exactly the kind of profile that enterprises will increasingly seek.