English
English ⌄
AifedersAifeders.com · Official Site
Udemy — Fine-Tune & Deploy LLMs with QLoRA on Sagemaker + Streamlit 2025-7

Updated August 10, 2026

Udemy — Fine-Tune & Deploy LLMs with QLoRA on Sagemaker + Streamlit 2025-7

No ratings yet
Go to downloads ↓

Description

Fine-Tune & Deploy LLMs with QLoRA on Sagemaker + Streamlit 2025-7 is a Udemy course taught by Patrik Szepesi. Language: English; Duration: 7 hours and 12 minutes.

Fine-Tune & Deploy LLMs with QLoRA on Sagemaker + Streamlit 2025-7 is a course from Udemy. Review the listed course specifications, preview and available download editions on this page before choosing a resource.

What you will learn

  • The material covers memory and mathematics.
  • The material covers management.

Course specifications

Publisher
Udemy
Instructors
Patrik Szepesi
Language
English
Level
All Levels
Duration
7 hours and 12 minutes
Subtitle
Not Available
Quality
1080p
Edition
2025-7

Course topics

AI & DataIT & SoftwareVideo TutorialStreamlitLarge language modelsBuild a Streamlit data app →Plan a RAG and LLM evaluation →
View course topics
Course topics · Udemy — Fine-Tune & Deploy LLMs with QLoRA on Sagemaker + Streamlit 2025-7

Prerequisites

  • Prerequisite topics include Python.
  • Prerequisite topics include linear algebra.
Pictures
Pictures · Udemy — Fine-Tune & Deploy LLMs with QLoRA on Sagemaker + Streamlit 2025-7

Introduction video

How to open the files

Extract the files and play the included course media with a compatible player.

Download resources

Choose one edition and keep its parts together. Alternate providers are available when listed.

2025-7 · 1080p · 1

Direct downloads

2025-7 · 1080p

Archive password

Size

3.42 GB

Report a problem

Share this page

Please keep questions and reviews relevant to this resource.

Leave a Reply

Signed-in member comments appear immediately.

Sign in to post a comment

More to explore