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

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.
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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.
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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

  • 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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