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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
- Announcements
- 1 Introduction
- 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
- 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
- 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
- 1 Section Introduction
- 2 Demonstration Ollama with REST API
- 3 Demonstration Ollama python Library
- 4 Demonstration Streamlit integration for simple front end UI
- 1 Section Introduction
- 2 Understanding Fine tuning
- 3 Demonstration Dataset preparation CSVJSON
- 4 Demonstration Fine tuning model
- 5 Managing versions of fine tuned models
- 1 Section Introduction
- 2 What is RAG and Why Use It
- 3 Components of a RAG Pipeline
- 4 Demonstration Building RAG Application
- 1 Conclusion