Free Udemy Course __ Build local LLM applications using Python and Ollama

Learn to create LLM applications in your system using Ollama and LangChain in Python | Completely private and secure

4.5 (1,000+ students enrolled) English
data-science Machine Learning
Build local LLM applications using Python and Ollama

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

Requirements

  • Basic Python knowledge is recommended, but no prior AI experience is required.

Who This Course is For

  • Software developers who want to build and run private LLM applications on their local machines.
  • Data scientists looking to integrate advanced LLM models into their workflow without relying on cloud solutions.
  • Privacy-focused professionals who need to maintain complete control over their data while leveraging powerful AI models.
  • Tech enthusiasts interested in exploring local LLM setups using cutting-edge tools like Ollama and LangChain.

Your Instructor

Start-Tech Academy

5,000,000+ Enrollments | 4.5 Rated | 160+ Countries

4.5 Instructor Rating

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2,050,121 Students

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