A Red Hat Certified Developer in AI is able to deploy OpenShift AI and configure it to build, deploy and manage machine learning models to support AI enabled applications.
A Red Hat Certified Developer is able to:
- Install Red Hat OpenShift AI (RHOAI)
- Configure and manage RHOAI
- Work with data science projects
- Use data science workbenches
- Configure data connections
- Use Git to manage Jupyter notebooks collaboratively
- Work with machine learning models
- Deploy trained models using model serving
- Create data science pipelines
Audience for this exam
- System and Software Architects who need to demonstrate an understanding of the features and functionality of Red Hat OpenShift AI.
- System Administrators or developers who need to demonstrate the ability to configure, support and maintain OpenShift AI.
- Data Scientists who need to demonstrate an understanding of using OpenShift AI to develop, train, serve, test, and monitor AI/ML models and applications.
Prerequisites
Prior to taking the exam, individuals should:
- Have taken Red Hat OpenShift Developer II: Building and Deploying Cloud-native Applications (DO288) course or have comparable work experience using OpenShift Container Platform.
- Have taken Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) or have comparable work experience using the features of OpenShift AI.
- Review the Red Hat Certified Specialist in OpenShift AI exam (EX267) objectives
Recommended training for this certification
Exams
Red Hat Certified Developer in AI Exam (EX267)