Red Hat Certification
MLOps - Developing & Deploying AI/ML Applications on Red Hat OpenShift AI & Cloud
Comprehensive MLOps course covering Vertex AI, AWS SageMaker, and Red Hat OpenShift AI with official EX267 certification preparation (2nd attempt included).
Duration 3 Months
Difficulty Advanced
Rating 4.98 / 5.0
Enrolled 1,450
Course Overview
The MLOps course provides a comprehensive exploration of foundational and advanced concepts essential for deploying machine learning models in production. Participants gain hands-on expertise with Google Cloud Platform (Vertex AI, BigQuery, TensorFlow, GANs), AWS (SageMaker, Bedrock, Rekognition), Docker, Kubernetes, and Red Hat OpenShift AI. Includes official Red Hat OpenShift AI Exam (EX267) preparation with 2nd attempt.
What You Will Learn
Master data engineering, model training, and automated deployment pipelines
Deploy and scale ML models using Google Cloud Vertex AI & AWS SageMaker
Build and manage data science pipelines on Red Hat OpenShift AI & Kubeflow
Implement AI model monitoring, drift detection, explainability, and governance
Clear the official Red Hat OpenShift AI EX267 Exam (Includes 2nd Attempt)
Course Syllabus & Modules
Python basics for Machine Learning
Jupyter Notebook setup & environment exploration
Hands On: Create a Jupyter Notebook to explore basic Python
Prerequisites
- No prior prerequisite required
- Basic Python knowledge is an added advantage
Target Audience
- DevOps Engineers
- Data Scientists & ML Engineers
- Cloud Architects
- System Administrators
- AI/ML Enthusiasts
Limited Seats for Upcoming BatchAdmissions Open 2026
Red Hat Exam Voucher Support
24/7 Remote Lab Access Included
Guaranteed 100% Placement Assistance