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Overview
The Developing and Deploying AI/ML Applications on Red Hat OpenShift AI course is designed to equip participants with the skills necessary to create, manage, and deploy machine learning models using Red Hat OpenShift AI. This course provides an in-depth understanding of Python programming, machine learning concepts, and how to leverage Red Hat OpenShift AI to streamline AI/ML workflows. Through hands-on exercises, participants will gain practical experience in developing AI/ML applications, configuring environments, and applying best practices in AI/ML deployment.
Objectives
By the end of this course, leaner will be able to:
- Develop a strong understanding of Python programming for AI/ML applications.
- Learn to describe basic machine learning concepts and different types of machine learning.
- Train and deploy machine learning models using Red Hat OpenShift AI.
- Apply best practices in AI/ML model training and deployment with Red Hat OpenShift AI.
- Debug and optimize AI/ML workflows using advanced tools and techniques.
Prerequisites
- Experience with Git is required for version control and collaboration.
- Experience with Red Hat OpenShift or completion of the Red Hat OpenShift Developer II course is necessary.
- Basic knowledge of AI, data science, and machine learning is recommended.
- Familiarity with Python programming is helpful but not mandatory.
- Ability to set up and configure the Python development environment is essential.
