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

[.big]#**#*Related offer*

This course is part of the https://www.redhat.com/en/services/training/ai268-developing-deploying-ai-ml-applications-red-hat-openshift-ai-exam[Developing and Deploying AI/ML Applications on Red Hat OpenShift AI with Exam (AI268)] bundle. This bundle is available at 15% off local MSRP, now through September 30, 2024. Click get started to checkout from the bundle page and select a course plus the exam to receive this offer. Discount will be applied to the local MSRP of eligible offerings at checkout. This offer may not be combined with other offers or discounts.

[.big]#**#*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.

[.big]#**#*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
* Introduction to Workflow Automation
* Elyra Pipelines
* KubeFlow Pipelines

[.big]#**#*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

[.big]#**#*Recommended training*

* Experience with Git is required
* Experience in Python development is required, or completion of the https://www.redhat.com/en/services/training/ad141-red-hat-training-presents-introduction-to-python-programming[Python Programming with Red Hat (AD141)] course
* Experience in Red Hat OpenShift is required, or completion of the https://www.redhat.com/en/services/training/red-hat-openshift-developer-ii-building-and-deploying-cloud-native-applications[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

[.big]#**#*Technology considerations*

* No ILT classroom will be available

For full details, or to enroll:
https://www.redhat.com/en/services/training/developing-and-deploying-aiml-applications-red-hat-openshift-ai-ai267
