Deliver AI on Kubernetes with our Classroom and Online AI267 | EX267 Training at WebAsha Technologies. Based on OpenShift 4.18 and OpenShift AI 2.25, it builds the hands-on MLOps skills validated by the performance-based EX267 exam.
Training Overview:
The AI267 EX267 training focuses on the complete lifecycle of AI/ML applications on Red Hat OpenShift AI: installing and configuring RHOAI, working with data science projects and workbenches, training models, serving them with model-serving runtimes, monitoring for bias and drift, and building data science pipelines. Real labs prepare you to operate AI workloads under exam conditions.
Intended Audience:
This course is ideal for machine learning engineers, MLOps engineers, data scientists and AI platform engineers who want to train, deploy and monitor predictive and generative AI models on OpenShift and earn an official Red Hat credential.
Topics Covered:
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Introduce OpenShift AI: Understand how RHOAI provides a complete MLOps and GenAIOps platform.
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Install & Configure RHOAI: Install Red Hat OpenShift AI and manage its configuration.
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Data Science Projects & Workbenches: Create projects, workbenches and data connections.
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Collaborative Notebooks: Use Git to manage Jupyter notebooks collaboratively.
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Work with ML Models: Prepare and train predictive and generative AI models.
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Model Serving: Deploy and serve models with model-serving runtimes.
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Model Monitoring: Monitor deployed models for bias, data drift and performance.
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Data Science Pipelines: Build and run data science pipelines for repeatable ML.
Requirements:
Learners should have OpenShift experience and a basic understanding of machine learning principles and workflows. Online participants need a stable internet connection and a laptop/desktop for the live OpenShift AI labs, which are essential for EX267 skills.
Pre-Requisites:
Red Hat requires OpenShift experience (or completion of DO288) and a basic understanding of machine learning principles and workflows before AI267/EX267.
Career Benefits:
EX267-certified professionals who can operationalise AI on OpenShift are in high demand. In India, packages typically range from ₹8 LPA to ₹40+ LPA in roles such as ML Engineer, MLOps Engineer and AI Platform Engineer.