Udemy - LLM on OpenShift AI - Deployment Masterclass

LLM on OpenShift AI: Deployment Masterclass

https://WebToolTip.com

Published 8/2026
Created by Vimal Daga
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 8 Lectures ( 2h 49m ) | Size: 2.1 GB

Hands-On LLM Serving with OpenShift AI, vLLM, KServe & APIs

What you'll learn
⚡ Understand the fundamentals of Large Language Models (LLMs), LLM inference, model runtimes, and private/sovereign AI architectures.
⚡ Understand how OpenShift AI is used to build, manage, and operate AI and LLM workloads on an OpenShift cluster.
⚡ Set up OpenShift AI infrastructure, install the OpenShift AI Operator, and configure a Data Science Cluster with components such as KServe, Workbench, Dashboard
⚡ Select appropriate LLM models based on model parameters, use cases, hardware requirements, and resource availability.
⚡ Understand LLM quantization and different model precision concepts and how they affect model size, memory consumption, performance, and deployment requirements.
⚡ Deploy and serve LLM models on OpenShift AI using technologies such as vLLM and KServe.
⚡ Configure CPU, memory requests, memory limits, hardware profiles, replicas, services, and OpenShift Routes for LLM workloads.
⚡ Troubleshoot common LLM deployment problems, including pending pods, insufficient cluster resources, CrashLoopBackOff, and out-of-memory errors using OpenShift
⚡ Test and interact with deployed LLM models using the OpenShift AI Playground and inference APIs

Requirements
❗ Familiarity with using a web browser and terminal/command-line interface.