Build local LLM applications using Python and Ollama

$0.99
Instructor:
Start-Tech Academy
Category:

If you are a developer, data scientist, or AI enthusiast who wants to build and run large language models (LLMs) locally on your system, this course is for you. Do you want to harness the power of LLMs without sending your data to the cloud? Are you looking for secure, private solutions that leverage powerful tools like Python, Ollama, and LangChain? This course will show you how to build secure and fully functional LLM applications right on your own machine.

 

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
Course content
6

6 sections • 25 lectures • Total duration 1 hour 56 min

Getting started with local models
Using Ollama with Python
Using LangChain in Python for LLM applications
Building Retrieval Augmented Generation - RAG applications
Building Tools and Agents based applications
Conclusion