Red Hat OpenShift AI (AI267) Training

Red Hat OpenShift AI (AI267) Training is a comprehensive, hands-on course designed for data scientists, AI engineers, MLOps professionals, and platform administrators who want to build, deploy, and manage AI and machine learning workloads on Red Hat OpenShift. This training helps organizations accelerate AI adoption by leveraging a scalable, cloud-native platform for model development and deployment.

During this Red Hat OpenShift AI (AI267) Training, you will learn how to create AI workflows, manage Jupyter notebooks, train machine learning models, deploy AI applications, and automate the ML lifecycle using OpenShift AI. You’ll also gain practical experience with model serving, resource management, pipelines, and best practices for enterprise AI environments.

What You Will Learn

Install and configure Red Hat OpenShift AI.
Create and manage AI development environments using Jupyter notebooks.
Build, train, and evaluate machine learning models.
Deploy and serve AI/ML models on Red Hat OpenShift.
Automate machine learning workflows using MLOps pipelines.
Monitor, scale, and manage AI applications in production.

Benefits of Red Hat OpenShift AI (AI267) Training

Gain practical experience with enterprise AI and MLOps.
Learn through real-world, hands-on labs and projects.
Improve AI model deployment and lifecycle management skills.
Build expertise in cloud-native AI and machine learning platforms.
Enhance career opportunities in AI, MLOps, and OpenShift administration.
Learn industry best practices for scalable AI infrastructure.

Who Should Attend?

Data Scientists
AI & Machine Learning Engineers
MLOps Engineers
DevOps Engineers
Platform Administrators
Cloud Architects

Ready to advance your AI and machine learning expertise?

Enroll in our Red Hat OpenShift AI (AI267) Training and gain hands-on experience in building, deploying, and managing enterprise AI workloads on Red Hat OpenShift. Contact us today to book your seat or schedule customized corporate training.