Skills Covered
Overview
Red Hat OpenShift AI is an enterprise-grade platform designed to build, train, deploy, and manage artificial intelligence and machine learning models at scale. It combines the power of Kubernetes, OpenShift, and trusted open-source AI frameworks to deliver secure, scalable, and production-ready AI workflows.
OpenShift AI enables organizations to streamline the complete AI lifecycle—from data preparation and model training to deployment and monitoring—using a unified, cloud-native platform. It supports modern AI use cases such as Generative AI, MLOps, computer vision, NLP, and predictive analytics while ensuring governance, security, and compliance.
Built for hybrid and multi-cloud environments, Red Hat OpenShift AI empowers data scientists, ML engineers, and DevOps teams to collaborate efficiently and accelerate AI innovation across enterprise workloads.
WHY SHOULD WE CHOOSE RED HAT OPENSHIFT AI TRAINING?
Red Hat OpenShift AI training prepares professionals to design and manage AI/ML workloads in real-world enterprise environments using industry-recognized best practices.
- Training focuses on end-to-end AI lifecycle management on OpenShift.
- Hands-on exposure to MLOps, model pipelines, and automation.
- Aligned with Red Hat enterprise standards and real production use cases.
- Improves job readiness for AI, ML, and cloud-native roles.
Organizations worldwide adopt OpenShift AI to operationalize AI securely, making this skill set highly valuable in today’s AI-driven market.
OPENSHIFT AI COURSE BRIEF
- Enterprise AI Platform Fundamentals
Understand OpenShift AI architecture, components, and Kubernetes-based AI workflows. - Model Development & Training
Work with Jupyter notebooks, Python, and popular ML frameworks in OpenShift AI. - MLOps & Automation
Build automated pipelines for training, testing, deploying, and monitoring models. - Deployment & Governance
Deploy scalable AI services with security, access control, and compliance policies.
WHAT YOU WILL LEARN IN RED HAT OPENSHIFT AI
- Data preparation and model training on OpenShift
- Managing AI workloads using Kubernetes and containers
- Implementing MLOps pipelines for continuous delivery
- Deploying, monitoring, and scaling AI models securely
Benefits of Red Hat OpenShift AI Training Course Online
ADVANTAGES OF RED HAT OPENSHIFT AI -
- Enterprise-Ready AI Skills
Learn how to run AI workloads in production-grade OpenShift environments. - Career Growth in AI & Cloud
Opens opportunities in AI engineering, MLOps, and cloud-native roles. - Hands-On Practical Learning
Real-world labs focused on enterprise AI use cases. - Scalable & Secure AI Operations
Gain expertise in managing AI with governance, security, and compliance.
Career Opportunities
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Gain ongoing value with lifetime access to class recordings, continuous expert guidance, dedicated mentorship, and more—ensuring you always have support on your learning journey
Your Success, Our Commitment
Our dedicated placement team works for you, and all trainings are certificate-oriented with options for guaranteed certificates
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