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
132 Courses
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