Ollama Masterclass 2026: Run Powerful Local LLMs with Ollama (3-Hour Full Course) | CampusX
Github: https://github.com/campusx-official/Ollama-Youtube
Discount Offer: https://learnwith.campusx.in/courses/GenAI-using-Ollama-68eec843d5d88122b615c7f5
This comprehensive masterclass provides a deep dive into Ollama and the landscape of Open Source LLMs as of 2026. Learn how to download, run, and manage powerful models like Llama, DeepSeek, and Qwen locally on your own computer to ensure data privacy and eliminate subscription costs.
Key Topics Covered:
Difference between Proprietary and Open Source Models.
Hardware Requirements for local execution.
Running models via CLI and Python.
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Chapters (23)
Intro
1:02
Limitations of Proprietary Models
1:37
Rise of Mature Open-Source LLMs
2:42
Purpose of This Ollama Masterclass
3:16
Scope and Depth of the Video
4:57
What Are LLMs (Foundational View)
6:23
Proprietary vs Open-Source LLMs
9:54
What Open-Source Models Really Mean
11:54
Why Open-Source LLMs Are Hard to Use
15:17
Why Ollama Exists
18:51
Benefits of Using Ollama
22:43
Exploring the Ollama Model Library
28:37
Hardware and System Requirements
32:22
Installing and Running Ollama
34:31
Basic CLI Commands and Model Interaction
44:26
Advanced CLI: Inspecting and Tuning Models
51:41
Using Ollama via Python Library
56:38
Handling Images and Model Parameters in Code
1:04:14
Managing Conversations and History
1:10:21
Deep Dive into Tool Calling
1:17:54
Workflow for Executing Tools
1:26:55
Practical Tool Calling Demo
1:44:02
Customising Models with Model Files
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