Overview

This course introduces the development and deployment of AI/ML applications using Red Hat OpenShift AI. Participants will gain hands-on experience in building, training, and deploying machine learning models on Red Hat OpenShift AI, learning to manage users, resources, and workflows effectively.

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Prerequisites

  • Experience with Git
  • Python development experience
  • Red Hat OpenShift experience or relevant training (DO288)
  • Basic understanding of AI, data science, and machine learning

Target Audience

  • Data scientists
  • AI/ML developers
  • MLOps engineers
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Delegates will learn how to

By the end of this course, participants will:

  • Understand the Red Hat OpenShift AI architecture
  • Install and manage Red Hat OpenShift AI components
  • Train, deploy, and serve machine learning models
  • Create and manage data science pipelines with Elyra and KubeFlow
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Outline

  • Introduction to Red Hat OpenShift AI
  • Data Science Projects and Jupyter Notebooks
  • Installing and Managing Red Hat OpenShift AI
  • Managing Users and Custom Notebook Images
  • Machine Learning Concepts and Model Training
  • Enhancing Model Training with Red Hat OpenShift AI (RHOAI)
  • Model Serving in Red Hat OpenShift AI
  • Data Science Pipelines with Elyra and KubeFlow

Exams
Participants may choose to take the Red Hat Certified Specialist in OpenShift AI Exam (EX267) upon completion. The exam is included in the cost of this course.

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Why choose QA

Special Notices

In order to attend any Red Hat course or exam, you will need to provide us with your unique Red Hat Network ID. Bookings will not be confirmed without this. If you do not have a Red Hat Network ID you can create one online. If you attend a virtual event, Red Hat will email you directly a Connectivity Test link one week before the course starts to ensure you have the correct access for the training.

Need to know

Frequently asked questions

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Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.

How do QA’s virtual classroom courses work?

Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.

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How do QA’s online courses work?

QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.

All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.

When will I receive my joining instructions?

Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.

When will I receive my certificate?

Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.

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