- Course overview
- Course details
- Prerequisites
Course overview
About this course
This course describes the current AI/ML landscape and the challenges associated with developing and deploying AI/ML applications. The video content also covers how Red Hat OpenShift AI builds on the capabilities of Red Hat OpenShift to provide a single, consistent, enterprise-ready hybrid AI and MLOps platform.
Audience profile
- 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
Course details
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- 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
Prerequisites
There are no prerequisites for this course
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Course : Red Hat OpenShift AI
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