Udemy - LLM Quantization and Compression - Theoretical Core
LLM Quantization and Compression: Theoretical Core
https://WebToolTip.com
Published 6/2026
Created by Bhushan S
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 49 Lectures ( 4h 2m ) | Size: 3.1 GB
Study how multi-billion parameter networks are compressed into low-precision representations for resource-constr...
What you'll learn
⚡ Master the core principles of Post-Training Quantization (PTQ).
⚡ Deconstruct the architecture and tradeoffs of Activation-aware Weight Quantization (AWQ).
⚡ Analyze the design patterns governing Low-Rank Adaptation (LoRA).
⚡ Build a deep mental model of Pruning Theory at scale.
Requirements
❗ No coding experience is required. We focus entirely on system design and core theoretical concepts.
❗ A basic interest in technology systems, algorithms, or computer science architecture.
❗ No special software or local development environment setup is needed.