Red Hat OpenShift AI Technical Overview

• Data scientists and AI practitioners who want 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

• How did AI progress to where we are today?
• How the AI/ML landscape is evolving
• Red Hat OpenShift AI Architecture
• Red Hat’s AI/ML partner ecosystem
• Use case demo

There are no prerequisites for this Technical Overview.

• Introduction
• A brief history of AI
• What is machine learning?
• What is deep learning?
• Where do foundation models fit within AI?
• The evolving AI/ML landscape
• The challenge with MLOps
• Operationalizing AI
• Red Hat OpenShift AI features
• The Red Hat OpenShift AI open source ecosystem
• Red Hat OpenShift AI architecture
• The Red Hat OpenShift AI partner ecosystem
• Demo: Improving insurance claims process
• Demo: Connection and Setup
• Demo: Working with an LLM
• Demo: Image processing
• How to continue training on Red Hat OpenShift AI

Next courses

Developing and Deploying AI/ML Applications on Red Hat OpenShift AI [AI267]

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Developing and Deploying AI/ML Applications on Red Hat OpenShift AI with Exam [AI268]