Developing and Deploying AI/ML Applications on Red Hat OpenShift AI Virtual Training VT

Virtual 4 Days

$3,210.00

Developing and Deploying AI/ML Applications on Red Hat OpenShift AI Virtual Training VT

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 ® 4.14, and Red Hat OpenShift AI 2.8.

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
  • Installing Red Hat OpenShift AI
  • Managing Users and Resources
  • 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
  • Custom Model Servers
  • Introduction to Workflow Automation
  • Elyra Pipelines
  • KubeFlow Pipelines

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
  • MLOps engineers responsible for installing, configuring, deploying, and monitoring AI/ML applications 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

Technology considerations

  • No ILT classroom will be available