Develop and Deploy AI/ML Applications on Red Hat OpenShift AI w/Exam (AI268)

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Course Overview

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.

Who Should Attend

  • 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

Course Outline

  • Introduction to Red Hat OpenShift AI
  • Data Science Projects
  • Jupyter Notebooks
  • Red Hat OpenShift AI Installation
  • User 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

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Class Dates & Times

Class times are listed Eastern time

This is a 4-day class

Price : $3,824.00

NERCOMP Price : $3,632.80

Class dates not listed.
Please contact us for available dates and times.