Red Hat OpenShift AI
MLOps & GenAIOps Training
Master the complete lifecycle of both predictive machine learning and Generative AI models on OpenShift. Build robust Kubeflow pipelines, serve LLMs, and construct RAG applications at scale.
Why OSELabs Beats the Competition
- Official Red Hat Labs 24/7 access to cloud-hosted OpenShift AI clusters with GPUs.
- GenAI Focus Deep dive into LLMs, RAG, and vLLM runtimes on OCP 4.20.
- Certified Instructors Taught by active Red Hat Architects with real-world MLOps expertise.
GenAI & MLOps
Master the full AI lifecycle
Kubeflow Pipelines
Automate data workflows
LLMs & RAG
Deploy & evaluate models
Placement Support
For AI/MLOps careers
What is the EX267 Certification?
Artificial Intelligence is moving out of the lab and into enterprise production. Organizations globally need platforms that can standardize the chaos of machine learning workflows. Red Hat OpenShift AI provides a complete platform to efficiently train, test, deploy, and monitor models at scale.
Whether you join us offline at our premier institute in Chennai or online from anywhere across Asia, the AI267 course teaches you how to operationalize the AI lifecycle. You will move beyond basic model serving to build production-ready GenAI applications using RAG patterns, vLLM runtimes, and Kubeflow pipelines.
Upcoming Batches
No group batches scheduled. Request a 1-on-1 slot below.
Official Syllabus (AI267)
1
Introduction to Red Hat OpenShift AI
Discover how Red Hat OpenShift AI (RHOAI) provides a complete MLOps and GenAIOps platform. Configure data science projects for team collaboration using role-based access.
2
Workbenches for AI/ML Development
Create and edit workbenches with custom images, versions, and sizes. Connect Jupyter and Elyra workbenches securely to external data sources and S3 object storage.
3
Model Serving Fundamentals
Understand OpenShift AI model serving architecture. Deploy and serve predictive AI models using specialized runtimes (including OpenVINO) in both Standard and Advanced modes.
4
Monitoring AI Models (TrustyAI)
Ensure ethical AI performance in production. Monitor deployed models for bias and data drift using TrustyAI, and track hardware consumption using Grafana.
5
Data Science Pipelines
Automate ML workflows. Create pipeline servers and execute pipelines using the Elyra and KubeFlow SDK. Manage artifacts and configure Kubernetes features within pipelines.
6
GenAI Model Optimization
Systematically optimize and evaluate Large Language Models (LLMs) using RHOAI's compression techniques and advanced evaluation frameworks.
7
Building GenAI Applications (RAG)
Build production-ready GenAI applications. Implement Retrieval-Augmented Generation (RAG) with vector databases, agentic workflows, and robust safety guardrails.
Exam Details (EX267)
Red Hat Certified Developer in AI
The EX267 exam tests your ability to develop, deploy, and manage AI/ML models using Red Hat OpenShift AI.
Frequently Asked Questions
Is this course based on the latest OpenShift AI version?
Yes. Unlike other institutes teaching legacy versions, OSELabs teaches the latest AI267 curriculum based on Red Hat OpenShift 4.20 and Red Hat OpenShift AI 3.3, which includes advanced Generative AI and RAG (Retrieval-Augmented Generation) applications.
I am a DevOps Engineer. Do I need to know Python or ML to take this?
You need basic Python development experience and Git familiarity. A foundational understanding of Machine Learning principles and LLMs is highly recommended, as this course bridges the gap between MLOps infrastructure and Data Science.
What kind of lab environment is provided?
AI/ML training requires heavy compute. We provide dedicated, GPU-enabled OpenShift clusters so you can actually train, compile, and serve models without the hardware limitations of a local laptop.
What is the EX267 exam format?
The EX267 is a rigorous, 4-hour, 100% performance-based exam. You will be graded on your ability to deploy OpenShift AI, manage data science projects, train models, configure pipelines, and monitor for data drift using TrustyAI.
Request Free Demo & Callback
Connect with an OpenShift AI expert to select your batch slot, clarify prerequisites, or ask about placements.
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Student Details
misakimurali@oksbi
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