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Udemy - Mastering LLMs Locally using Ollama Hands-On 2025-8
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Aug 2025
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Udemy - Mastering LLMs Locally using Ollama Hands-On 2025-8
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Course content
Sections:
8
•
Activities:
1
•
Resources:
33
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Section 1
Course Introduction
Announcements
1 Introduction
Section 2
Introduction to LLMs and Ollama
1 Section Introduction
2 LLMs and Their Deployment Challenges
3 Getting Started with Ollama
4 Architecture of Ollama
5 Comparison Ollama vs LangChain vs Hugging Face
Section 3
Setting Up Ollama Environment
1 Section Introduction
2 Demonstration Ollama Documentation Walkthrough
3 Demonstration Setting up Ollama Windows Linux macOS
4 Introduction to Ollama CLI
5 Demonstration Commonly used Ollama Commands CLI
6 Demonstration Setting up Ollama Desktop
Section 4
Working with Models
1 Section Introduction
2 Understanding Model Configuration file Modelfile
3 Parameters in Modelfile
4 Demonstration Creating Custom AI Model using Modelfile
5 Model Registry in Ollama
6 Demonstration Pushing Custom Model to Model Registry
7 Token Count and Context length
Section 5
Ollama with Python
1 Section Introduction
2 Demonstration Ollama with REST API
3 Demonstration Ollama python Library
4 Demonstration Streamlit integration for simple front end UI
Section 6
Model Fine Tuning
1 Section Introduction
2 Understanding Fine tuning
3 Demonstration Dataset preparation CSVJSON
4 Demonstration Fine tuning model
5 Managing versions of fine tuned models
Section 7
Build Your First Local RAG App
1 Section Introduction
2 What is RAG and Why Use It
3 Components of a RAG Pipeline
4 Demonstration Building RAG Application
Section 8
Conclusion
1 Conclusion
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Udemy - Mastering LLMs Locally using Ollama Hands-On 2025-8
Course modified date:
23 Aug 2025
Udemy - Mastering LLMs Locally using Ollama Hands-On 2025-8
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