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Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267)

Course on “Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267)”

About Course:

Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267)

New course – Online-Training (4 days).

offers a comprehensive introduction to using Red Hat OpenShift for AI/ML.

This course helps students/professionals build core skills for using Red Hat OpenShift AI to train, develop and deploy machine learning models through hands-on experience.

Key topics include:

  • Jupyter Notebooks,
  • custom notebook images,
  • model training, and serving,
  • data science pipelines using Elyra and KubeFlow SDK.

As a result of attending this course, you will understand the foundations of the Red Hat OpenShift AI architecture. You will be able to install Red Hat OpenShift AI, manage resource allocations, update components and manage users and their permissions. You will also be able to train, deploy and serve models, including how to use Red Hat OpenShift AI to apply best practices in machine learning and data science. Finally, you will be able to create, run, manage and troubleshoot data science pipelines.

Contact:

Prof Rakhi Dixit

Administrator, MIT Red Hat Training Center,

Chhatrapati Sambhaji Nagar (Aurangabad)

Email: rakhi.dixit@mit.asia

Tel: +91 240 2375329

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