Udemy – Build local LLM applications using Python and Ollama 2024-10

What you will learn

• Download and install Ollama to run LLM models on local machine
• Set up and configure the LLM Llama model for local use
• Customize LLM models using command-line options for specific application needs
• Saving and deploying modified versions of LLM models in the local environment
• Develop Python-based applications that securely interact with Ollama models
• Calling and integrating models through Ollama’s REST API for seamless interaction with external systems
• Explore OpenAI compatibility in Ollama to extend the functionality of your models
• Building a retrieval-augmented production (RAG) system to efficiently process and query large documents
• Creating fully functional LLM applications using LangChain, Ollama and tools such as agents and retrieval systems to answer user queries

This course is suitable for people who

• Software developers who want to build and run private LLM applications on their local devices.
• Data scientists looking to integrate advanced LLM models into their workflow without relying on cloud solutions.
• Privacy professionals who need to maintain full control over their data while leveraging powerful AI models.
• Tech enthusiasts looking to explore local LLM settings using advanced tools such as Ollama and LangChain.

Installation guide

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