Udemy - LLM on OpenShift AI - Deployment Masterclass [TorrentX]

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.