AI267 – Developing and Deploying AI/ML Applications on Red Hat OpenShift AI Classroom Training

Course Description 

An introduction to developing and deploying AI/ML applications on Red Hat OpenShift AI. 

Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) provides students with the fundamental knowledge about using Red Hat OpenShift for developing and deploying AI/ML applications. This course helps students build core skills for using Red Hat OpenShift AI to train, develop and deploy machine learning models through hands-on experience.

This course is based on Red Hat OpenShift ® 4.16, and Red Hat OpenShift AI 2.13.

Note: This course is offered as a 3 day in person class, a 4 day virtual class or is self-paced. Durations may vary based on the delivery. For full course details, scheduling, and pricing, select your location then “get started” on the right hand menu.

Course Content Summary

• Introduction to Red Hat OpenShift AI
• Data Science Projects
• Jupyter Notebooks
• Red Hat OpenShift AI Installation
• Users and Resources Management
• Custom Notebook Images
• Introduction to Machine Learning
• Training Models
• Enhancing Model Training with RHOAI
• Introduction to Model Serving
• Model Serving  in Red Hat OpenShift AI
• Introduction to Data Science Pipelines
• Working with Pipelines
• Controlling Pipelines and Experiments

Target Audience

• Data scientists and AI practitioners who want to use Red Hat OpenShift AI to build and train ML models
• Developers who want to build and integrate AI/ML enabled applications
• Developers, data scientists, and AI practitioners who want to automate their ML workflows
• MLOps engineers responsible for operationalizing the ML lifecycle on Red Hat OpenShift AI 

Recommended training

• Experience with Git is required
• Experience in Python development is required, or completion of the Python Programming with Red Hat (AD141) course
• Experience in Red Hat OpenShift is required, or completion of the Red Hat OpenShift Developer II: Building and Deploying Cloud-native Applications (DO288) course
• Basic experience in the AI, data science, and machine learning fields is recommended