Red Hat AI Technical Overview
An introduction to operationalizing AI/ML with Red Hat AI
This free technical overview describes the complex AI landscape and the significant enterprise challenges associated with bringing AI applications into production. It details how the Red Hat AI portfolio provides a unified, consistent, enterprise-ready AI platform built on the foundation of OpenShift for deployment anywhere across the hybrid cloud. The platform accelerates model development and delivery by offering features like high-performance inference with vLLM and llm-d, model customization via RAG and fine-tuning, and pipelines and observability features to govern and automate the entire model lifecycle.
What you'll learn
- Challenges of operationalizing AI
- Red Hat AI portfolio value
- Inference
- Connecting models to data
- Agentic AI
- Scaling AI in the Enterprise
- Demos of each major feature area
Course Outline
Prerequisites
- ›There are no prerequisites for this Technical Overview.
- ›For further learning about our inference stack on Red Hat AI, please watch Red Hat AI Inference Server Technical Overview (AI010).
Who should attend
- ›Data scientists and AI practitioners who want to build and train ML models
- ›Developers who want to build and integrate agentic AI applications
- ›Platform engineers responsible for installing, configuring, deploying, and monitoring AI applications at scale
Recommended next course or exam
- Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267)
- GenAIOps Enablement with Red Hat AI Enterprise (AI501)
Authorized Training PartnerCRS is a Red Hat Authorized Training Partner and winner of the Training Reseller Impact of the Year 2023 award for META.
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Developing and Deploying AI/ML Applications on Red Hat OpenShift AI
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Red Hat Certified Developer in Red Hat AI Exam
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