The Practical Guide
Run open large language models like Gemma, Llama or DeepSeek locally to perform AI inference on consumer hardware.
Lo que serás capaz de hacer
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!
- 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
Temario
UNIDAD 1 - Introduction · 9 leccionesUNIDAD 1 - Introduction
UNIDAD 1 - Introduction
- Welcome To The Course!
- What Exactly Are "Open LLMs"?
- Why Would You Want To Run Open LLMs Locally?
- Popular Open LLMs - Some Examples
- Where To Find Open LLMs?
- Running LLMs Locally - Available Options
- Check The Model Licenses!
- Course Slides
- Join Our Community
UNIDAD 2 - Understanding Hardware Requirements & Quantization · 5 leccionesUNIDAD 2 - Understanding Hardware Requirements & Quantization
UNIDAD 2 - Understanding Hardware Requirements & Quantization
- Module Introduction
- LLM Hardware Requirements - First Steps
- Deriving Hardware Requirements From Model Parameters
- Quantization To The Rescue!
- Does It Run On Your Machine?
UNIDAD 3 - LM Studio Deep Dive · 24 leccionesUNIDAD 3 - LM Studio Deep Dive
UNIDAD 3 - LM Studio Deep Dive
- Module Introduction
- Running Locally vs Remotely
- Installing & Using LM Studio
- Finding, Downloading & Activating Open LLMs
- Using the LM Studio Chat Interface
- Working with System Prompts & Presets
- Managing Chats
- Power User Features For Managing Models & Chats
- Leveraging Multimodal Models & Extracting Content From Images (OCR)
- Analyzing & Summarizing PDF Documents
- Onwards To More Advanced Settings
- Understanding Temperature, top_k & top_p
- Controlling Temperature, top_k & top_p in LM Studio
- Managing the Underlying Runtime & Hardware Configuration
- Managing Context Length
- Using Flash Attention
- Working With Structured Outputs
- Using Local LLMs For Code Generation
- Content Generation & Few Shot Prompting (Prompt Engineering)
- Onwards To Programmatic Use
- LM Studio & Its OpenAI Compatibility
- More Code Examples!
- Diving Deeper Into The LM Studio APIs
- Using the Python / JavaScript SDKs
UNIDAD 4 - Ollama Deep Dive · 19 leccionesUNIDAD 4 - Ollama Deep Dive
UNIDAD 4 - Ollama Deep Dive
- Module Introduction
- Installing & Starting Ollama
- Finding Usable Open Models
- Running Open LLMs Locally via Ollama
- Adding a GUI with Open WebUI
- Dealing with Multiline Messages & Image Input (Multimodality)
- Inspecting Models & Extracting Model Information
- Editing System Messages & Model Parameters
- Saving & Loading Sessions and Models
- Managing Models
- Creating Model Blueprints via Modelfiles
- Creating Models From Modelfiles
- Making Sense of Model Templates
- Building a Model From Scratch From a GGUF File
- Getting Started with the Ollama Server (API)
- Exploring the Ollama API & Programmatic Model Access
- Getting Structured Output
- More Code Examples!
- Using the Python / JavaScript SDKs
UNIDAD 5 - Course Roundup · 2 leccionesUNIDAD 5 - Course Roundup
UNIDAD 5 - Course Roundup
- Roundup
- Bonus Lecture
Tu certificado lo emite la SEP, no solo una plataforma
Al demostrar la competencia recibes un certificado emitido por la Secretaría de Educación Pública a través del Gobierno del Estado de México: un documento oficial que puedes presentar con confianza ante cualquier empleador o institución.
Tu certificado con INEC
- Lo emite la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México
- Documento oficial con folio verificable en línea
- Lo otorga la Universidad Tecnológica Fidel Velázquez
Otras plataformas en línea
- Constancia privada emitida por la misma plataforma
- Solo acredita horas cursadas o asistencia
- Sin respaldo de una autoridad educativa
Tu itinerario, de la inscripción al certificado
- 1
Inscripción con pago único
Pagas $2,800 MXN una sola vez y entras de inmediato al curso.
- 2
Estudias a tu ritmo
5 unidades con videos, lecturas y actividades, disponibles 24/7 durante 12 meses.
- 3
Cuestionarios por unidad
Cuestionarios para comprobar lo aprendido.
- 4
Certificado
Emitido por la SEP a través del Gobierno del Estado de México, con folio verificable.
Un certificado oficial de la SEP
- Emitido por la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México. No es una constancia privada: es un documento oficial, y ese respaldo marca la diferencia frente a otras plataformas en línea.
- Contenido impartido por Maximilian Schwarzmüller.
- Folio y QR verificables para compartirlo con quien te contrate.
Empieza hoy, a tu ritmo
Un solo pago y acceso inmediato al curso completo durante 12 meses.
- 5 unidades · 59 lecciones · 30 h
- 12 meses de acceso
- Certificado emitido por la SEP (Gob. del Estado de México) con folio verificable
Sobre tu inscripción
¿Cómo es el pago?
Un solo pago de $2,800 MXN. No hay mensualidades ni cargos recurrentes.
¿Cuánto tiempo tengo acceso?
12 meses desde tu inscripción, 24/7, para avanzar a tu ritmo.
¿Quién imparte el contenido?
El curso es impartido por Maximilian Schwarzmüller; INEC gestiona tu inscripción, evaluación y certificado.
¿Qué pasa cuando vence mi acceso?
Puedes renovar tu cuenta tú mismo desde la plataforma, sin trámites ni esperas.


