Preface A: Introduction
Section A.1: Developing and Deploying AI/ML Applications on Red Hat OpenShift AI
Section A.2: Orientation to the Classroom Environment
Section A.3: Performing Lab Exercises
Chapter 1: Introduction to Red Hat OpenShift AI
Chapter 2: Data Science Projects
Chapter 3: Jupyter Notebooks
Chapter 4: Installing Red Hat OpenShift AI
Chapter 5: Manage Users and Resources
Chapter 6: Custom Notebook Images
Chapter 7: Introduction to Machine Learning
Chapter 8: Training Models
Chapter 9: Enhancing Model Training with RHOAI
Chapter 10: Introduction to Model Serving
Chapter 11: Model Serving in Red Hat OpenShift AI
Chapter 12: Introduction to Data Science Pipelines
Chapter 13: Elyra Pipelines
Chapter 14: Kubeflow Pipelines
Note: **The topics said above are only the short blueprint of the syllabus. On the off chance that you feel that we have missed any subject, you can simply come to us and learn it, or simply call us to affirm
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