Udemy - Local LLMs with Ollama for Absolute Beginners

Category : Other
Type: Tutorials
Language: English
Total Size: 1.8 GB
Uploaded By: freecoursewb
Downloads: 46292
Last checked: Jul. 25th '26
Date uploaded: Jul. 25th '26
Seeders: 15986
Leechers: 9238
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About Udemy - Local LLMs with Ollama for Absolute Beginners

Overview

Local LLMs with Ollama for Absolute Beginners https://WebToolTip.com Published 7/2026 Created by Logix Academy | 200,000+ Enrollments Worldwide MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 24 Lectures ( 3h 36m ) | Size: 1.8 GB Install, run and automate Local LLMs with Ollama, Open WebUI and self-hosted n8n What you'll learn ⚡ Understand and be able to articulate fundamental differences between Cloud and Local AI ⚡ Wr

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Local LLMs with Ollama for Absolute Beginners

https://WebToolTip.com

Published 7/2026
Created by Logix Academy | 200,000+ Enrollments Worldwide
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 24 Lectures ( 3h 36m ) | Size: 1.8 GB

Install, run and automate Local LLMs with Ollama, Open WebUI and self-hosted n8n

What you'll learn
⚡ Understand and be able to articulate fundamental differences between Cloud and Local AI
⚡ Write prompts that actually work on smaller local models, and understand why tricks that work on ChatGPT don't always transfer.
⚡ Compare popular local AI models — Llama, Gemma, DeepSeek, Mistral, Phi — and choose the right one for your hardware and task
⚡ Install and run powerful AI models like Llama and Gemma locally on your own computer using Ollama — no cloud required
⚡ Set up Open WebUI to get a clean, ChatGPT-style interface for your local models, and share it securely with your team.
⚡ Automate your local AI with self-hosted n8n, including Docker setup and reliable AI workflows

Requirements
❗ No prior experience with AI models or local hosting needed — we'll build up from the fundamentals together
❗ A Windows, Mac, or Linux computer with at least 8GB of RAM
❗ For the Local Automation section, basic comfort installing software is helpful but not required