What you’ll learn
- Download and install Ollama for running LLM models on your local machine
- Set up and configure the Llama LLM model for local use
- Customize LLM models using command-line options to meet specific application needs
- Save and deploy modified versions of LLM models in your local environment
- Develop Python-based applications that interact with Ollama models securely
- Call and integrate models via Ollama’s REST API for seamless interaction with external systems
- Explore OpenAI compatibility within Ollama to extend the functionality of your models
- Build a Retrieval-Augmented Generation (RAG) system to process and query large documents efficiently
- Create fully functional LLM applications using LangChain, Ollama, and tools like agents and retrieval systems to answer user queries
How to Enroll Build local LLM applications using Python and Ollama course?
How many members can access this course with a coupon?
Build local LLM applications using Python and Ollama Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!