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Курс от Red Hat
courseraIT и технологии
Red Hat AI Technical Overview
Курс от Red HatО курсе
This 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. Whether you're looking to build and train ML models or are responsible for installing and monitoring AI applications, this course will cover challenges of operationalizing AI, inference, connecting models to data, Agentic AI, and more!
Навыки, которые вы освоите
Model OptimizationModel DeploymentOpenShiftRed Hat Enterprise LinuxAI EnablementJupyterArtificial Intelligence and Machine Learning (AI/ML)Model Context ProtocolRetrieval-Augmented GenerationAI OrchestrationModel TrainingData ScienceArtificial IntelligenceTool CallingHybrid Cloud ComputingAgentic systemsFine-tuningLLM ApplicationAI IntegrationsAgentic Workflows
Программа курса
7 модулей · 20 учебных материалов
01Foundations of Enterprise AI and the Red Hat Portfolio4 материалов
02Platform Architecture and Local Inference2 материалов
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Red Hat Training
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