title
Please take a moment to fill out this form. We will get back to you as soon as possible.
All fields marked with an asterisk (*) are mandatory.
Developing and Deploying AI/ML Applications on Red Hat OpenShift AI with Exam
Course Description
Overview
Organizations collect and store vast amounts of information from multiple sources. With Red Hat OpenShift AI, organizations have a platform ready to analyze data, visualize trends and patterns, and predict future business outcomes by using machine learning and artificial intelligence algorithms.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.
The Red Hat Certified Specialist in OpenShift AI Exam (EX267) is included in the offering.
Objectives
- 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
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
Prerequisites
- 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
- No ILT classroom will be available
Topics
- Identify the main features of Red Hat OpenShift AI, and describe the architecture and components of Red Hat AI
- Organize code and configuration by using data science projects, workbenches, and data connections
- Use Jupyter notebooks to execute and test code interactively
- Installing Red Hat OpenShift AI by using the web console and the CLI, and managing Red Hat OpenShift AI components
- Managing Red Hat OpenShift AI users, and resource allocation for Workbenches
- Creating custom notebook images, and importing a custom notebook through the Red Hat OpenShift AI dashboard
- Describe basic machine learning concepts, different types of machine learning, and machine learning workflows
- Train models by using default and custom workbenches
- Use RHOAI to apply best practices in machine learning and data science
- Describe the concepts and components required to export, share and serve trained machine learning models
- Serve trained machine learning models with OpenShift AI
- Create, run, manage, and troubleshoot data science pipelines
- Create data science pipelines with Elyra
- Create data science pipelines with Kubeflow Pipelines
Related Courses
-
Red Hat OpenShift I: Containers & Kubernetes
RHT-DO180- Duration: 4 Days
- Delivery Format: Classroom Training, Online Training
- Price: 4,280.00 USD
-
Red Hat OpenShift Development I: Introduction to Containers with Podman
RHT-DO188- Duration: 4 Days
- Delivery Format: Classroom Training, Online Training
- Price: 3,210.00 USD
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
Course Added To Shopping Cart
bla
bla
bla
bla
bla
bla
Self-Paced Training Terms & Conditions
Exam Terms & Conditions
Sorry, there are no classes that meet your criteria.
Please contact us to schedule a class.
STOP! Before You Leave
Save 0% on this course!
Take advantage of our online-only offer & save 0% on any course !
Promo Code skip0 will be applied to your registration
Purchase Information
title
Please take a moment to fill out this form. We will get back to you as soon as possible.
All fields marked with an asterisk (*) are mandatory.