Run open large language models like Gemma, Llama or DeepSeek locally to perform AI inference on consumer hardware.

What you'll learn

Explore & understand Open-LLM use-cases
Achieve 100% privacy & agency by running highly capable open LLMs locally
Select & run open LLMs like Gemma 3 or Llama 4
Utilize Ollama & LM Studio to run open LLMs locally
Analyze text, documents and images with open LLMs
Integrate locally running open LLMs into custom AI-powered programs & applications

Requirements

Basic understanding of LLM functionality & usage
NO programming or advanced technical expertise is required
If you want to run models locally: At least 8 GB of (V)RAM will be required

Description

Unlock the Power of Private, Powerful AI on Your Own PC!ChatGPT, Google Gemini and all those other AI chatbots are standard tools for everyday use. But like all tools, they're not the best choices for all tasks.When privacy, cost, offline access, or deep customization matter, running powerful open models locally on your own computer beats all those proprietary models and third-party AI chatbots.This course will teach you how to leverage open LLMs like Meta's Llama models, Google's Gemma models or DeepSeek models to run AI workloads and AI chatbots right on your machine - no matter if it's a high-end PC or a normal laptop.Why Local & Open LLMs?In an era dominated by cloud-based AI and chatbots like ChatGPT, running state-of-the-art models locally offers game-changing advantages. Imagine leveraging cutting-edge AI with:Zero or Low Cost: Forget expensive subscriptions; tap into powerful models freely.100% Privacy: Your prompts and data stay securely on your machine – always.Offline First: Operate powerful AI tools anytime, anywhere, no internet required.Freedom from Vendor Lock-in: Access a diverse and rapidly growing ecosystem of open models.Astonishing Capability: Discover how open models like Gemma, Llama, and DeepSeek are not just alternatives, but top performers, ranking high on benchmarks and the Chatbot Arena leaderboard!Course

Overview

This course is your comprehensive, hands-on journey into the practical world of local LLMs. We'll cut through the complexity, guiding you step-by-step from setup to advanced usage. Here's what you'll master:The Open LLM Landscape: Understand what open models are and why they matter (and where to find them).Hardware Demystified: Learn the realistic hardware

Requirements

for running LLMs locally.Quantization Explained: Uncover the technique that makes running huge models feasible on consumer hardware.LM Studio In-Depth: Get hands-on with installing, configuring, selecting, downloading, and running models using LM Studio.Ollama Mastery: Learn to install, configure, and interact with models seamlessly via Ollama.Real-World Use Cases: Apply your knowledge to practical tasks like image OCR (reading text from images), summarizing PDF documents, mastering few-shot prompting, and generating creative content.Programmatic Power: Discover how to integrate these locally running models into your own scripts and applications using their built-in APIs (LM Studio & Ollama).And much more! Build a solid foundation and gain the confidence to explore the vast potential of local AI.Who Should Enroll?This course is tailor-made for:Developers looking to integrate powerful, private AI into their workflows or applications.Tech enthusiasts eager to experiment with cutting-edge AI without the cloud constraints.Privacy-conscious individuals wanting full control over their data when using AI.Anyone seeking powerful AI solutions without ongoing subscription costs.Students and professionals aiming to add practical, in-demand AI skills to their toolkit.Ready to Take Control of Your AI Future?Step into the world of powerful, private, and cost-effective artificial intelligence. Enroll now in "Unlock Local AI Power" and start running incredible Large Language Models directly on your own computer today!

Who this course is for

Beginner and advanced users of AI chatbots & LLMs
Professionals that require a high degree of data privacy
Tech enthusiasts and AI users that want to go beyond the basics
Homepage:

https://www.udemy.com/course/running-open-llms-locally-practical-guide/