LLM Crash Course: Run Models Locally. Master LLM Engineering

About this course

Tired of relying on cloud-based AI tools that require subscriptions, API keys, and constant internet access to run LLMs? Why hold your LLM Enggineering journey?

In this hands-on, fast-track course, you'll learn how to run powerful open-source language models locally on your own machine — 100% offline, private, and free forever. No recurring costs. No third-party services. Just you, your laptop, and your own AI environment.

I’ll guide you through the exact setup process step-by-step on Windows, macOS, and Linux. Then, I will go beyond just setup — you'll also explore real-world LLM features like tools, Retrieval-Augmented Generation (RAG), streaming responses, and how to interact with LLMs using Python scripts and prompts.

Whether you're a student, developer, or tech pro, this course empowers you to take full control of your LLM learning and workflows — without vendor lock-in or cloud dependency.

What You’ll Learn:

• Set up a local environment to run cutting-edge LLMs.
• Use simple command-line tools to download and manage models.
• Write Python scripts to interact with and prompt local models.
• Learn Prompt Engineering with handson coding examples and understand how it impacts llm applications
• Explore key LLM concepts like RAG using LangChain, tools(callable functions), streaming, embeddings, vector databases and prompt engineering.
• Build a privacy-first, reusable LLM setup for internal tools, research, or personal projects.
• Avoid API keys, subscriptions, and internet dependency — forever.

Who This Course Is For:

• Engineers & developers familiar with Python basics.
• Students or professionals looking to learn LLMs in a private, offline environment.
• Organizations ex

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