What is it about?

The Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) course provides students with fundamental knowledge of using Red Hat OpenShift to develop and deploy AI/ML applications. The training helps students acquire the basic skills needed to use Red Hat OpenShift AI to train, develop, and deploy machine learning (ML) models through hands-on experience. The course is based on Red Hat OpenShift 4.16 and Red Hat OpenShift AI 2.13.

Who is this course recommended for?

We recommend this training for IT professionals involved in the development, training, operation, or integration of AI/ML models, particularly in the following areas:

• Data scientists and AI professionals who want to use Red Hat OpenShift AI to build and train ML models.
• Developers who want to build and integrate applications with AI/ML capabilities.
• Developers, data scientists, and AI professionals who want to automate their ML workflows.
• MLOps engineers responsible for the operational implementation of the ML lifecycle in a Red Hat OpenShift AI environment.

Prerequisite for starting the course:

Completion of the course is not tied to any specific educational qualifications, but the following may be advantageous: IT qualifications (secondary or higher education) and/or practical experience; practical knowledge of Git; Python development experience, or completion of the AD141 – Python Programming in a Red Hat Environment course; basic knowledge of Red Hat OpenShift, or completion of the DO288 – Red Hat OpenShift Development II: Creating and Deploying Cloud-Native Applications in an OpenShift Environment course; knowledge of the basics of AI, data science, and machine learning.