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Introduction to Llama

Llama has become the most popular open-source LLM, with millions of downloads. This course will teach you how to run Llama models locally, build document Q&A systems, and customize models for your needs, without paying for expensive cloud APIs.

Beginner
1h 5m

Created by Dan Tofan

Last Updated Dec 19, 2025

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  • Course

Introduction to Llama

Llama has become the most popular open-source LLM, with millions of downloads. This course will teach you how to run Llama models locally, build document Q&A systems, and customize models for your needs, without paying for expensive cloud APIs.

Beginner
1h 5m

Created by Dan Tofan

Last Updated Dec 19, 2025

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What you'll learn

Privacy regulations and data sensitivity often prevent companies from using cloud-based AI services. In this course, Introduction to Llama, you'll learn to deploy Meta's powerful open-source language models entirely on local hardware. First, you'll explore the Llama family evolution from research-only models to commercial-friendly releases, understanding critical licensing considerations for different versions. Next, you'll discover how to run Llama 3.1 8B locally using Ollama on consumer GPUs and integrate it into Python applications. Finally, you'll learn how to build a retrieval-augmented generation (RAG) system that answers questions in your documents and understands when fine-tuning makes sense vs. using RAG. When you're finished with this course, you'll have the skills and knowledge of Llama deployments needed to build privacy-preserving AI applications that run entirely on your infrastructure.

Introduction to Llama
Beginner
1h 5m
Table of contents

About the author
Dan Tofan - Pluralsight course - Introduction to Llama
Dan Tofan
18 courses 4.7 author rating 259 ratings

As a software engineer and lifelong learner, Dan wrote a PhD thesis and many highly-cited publications on decision making and knowledge acquisition in software architecture. Dan used Microsoft technologies for many years, but moved gradually to Python, Linux and AWS to gain different perspectives of the computing world.

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