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Claude Code + Local AI

Learn to connect Claude Code with Ollama, local models, vector databases and desktop workflows you can run without sending every task to the cloud.

Intermediate 35 lessons Free access · open content
Start course Spanish PDF

Lessons are available in English. Code snippets keep original commands and file names intact.

modules
5
lessons
35
status
open
Learning outcome

What you will be able to do

  • Choose and run local models
  • Connect tools through Ollama or LM Studio
  • Build and publish private applications
Final deliverable

A working local AI application using RAG, voice, PDF, or productivity tools.

Before you start

Makers and developers who need privacy and local control.

  • • Basic terminal use
  • • 8 GB RAM minimum; 16 GB recommended
≈ 18 hAI-assisted programming

Updated: July 18, 2026

Roadmap

Syllabus

35 steps

module 01 / Foundations

11 lessons
  1. 1The Terminal Without Fear (CLI)/ia-local/terminal
  2. 2How to Work with Your Projects/ia-local/proyectos
  3. 3Writing good prompts for local AI/ia-local/prompts
  4. 4Local AI: choose your model/ia-local/ia-local
  5. 5Ollama from Scratch/ia-local/ollama-desde-cero
  6. 6GGUF Quantization: Q4, Q5, and Q8/ia-local/cuantizacion-gguf
  7. 7Connect Claude Code to Your Local AI/ia-local/conectar-ollama
  8. 8Fix Ollama Errors/ia-local/troubleshooting-ollama
  9. 9Ollama Caps Context at 4K or 32K? Check What It Actually Loaded/ia-local/ollama-context-window-32k
  10. 10Ollama Not Using GPU on Windows? NVIDIA, AMD & WSL2 Fixes/ia-local/ollama-gpu-windows
  11. 11Debug and protect your work/ia-local/depurar

module 02 / Advanced local AI

11 lessons
  1. 12Minimum Hardware for Local AI in 2026/ia-local/hardware-minimo-2026
  2. 13Ollama, vLLM, SGLang, and MLX: What to Use/ia-local/ollama-vllm-sglang-mlx
  3. 14Windows/WSL2 vs Mac M4 for Local AI/ia-local/windows-wsl2-vs-mac-m4
  4. 15AI Homelab with Used RTX 3090s/ia-local/homelab-rtx-3090
  5. 16Quantization and models for coding/ia-local/cuantizacion-modelos-coding
  6. 17Local code agents with Ollama/ia-local/agentes-codigo-locales
  7. 18Local coding agent with Hermes and Ollama/ia-local/hermes-agente-coding-local
  8. 19Advanced Hermes with Gemma and MLX/ia-local/hermes-gemma-mlx-avanzado
  9. 20Tool calling with local models/ia-local/tool-calling-modelos-locales
  10. 21Open WebUI + Ollama + Qdrant/ia-local/open-webui-qdrant
  11. 22Open WebUI troubleshooting and lightweight production/ia-local/open-webui-troubleshooting

module 03 / Build your tools

11 lessons
  1. 23Chatbot That Cites the Law (RAG)/ia-local/chatbot-legal
  2. 24Lexia-style web app with RAG/ia-local/webapp-tipo-lexia
  3. 25Ask Your PDFs/ia-local/pdf
  4. 26Chatbot that listens and speaks/ia-local/voz
  5. 27Text to Audio/ia-local/texto-a-audio
  6. 283D Simulations/ia-local/simulaciones-3d
  7. 29Speaking Avatar/ia-local/avatar
  8. 30WordPress Theme with AI/ia-local/wordpress
  9. 31Website for your service/ia-local/landing
  10. 32Assistant for freelancers/ia-local/facturacion
  11. 33Study App/ia-local/estudio

module 04 / Ship it

1 lesson
  1. 34Publish your app on the internet/ia-local/publicar

module 05 / Advanced appendix

1 lesson
  1. 35Home cluster with exo/ia-local/cluster
View all courses

Complete Aulafy map

How all courses connect

This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.

  1. 1Understand
  2. 2Apply or build
  3. 3Operate with confidence
01

Choose an application

Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.

AI for small businesses and freelancersUse AI where it improves real work.Beginner to intermediate · 20 lessonsView course Generative AI: image, voice and videoCreate production-ready media with AI pipelines.Beginner to intermediate · 7 lessonsView course Games, 3D and simulations with AIPrototype interactive worlds with AI-assisted tools.Beginner to intermediate · 6 lessonsView course

Continue into the technical branch when you need to maintain code, data, or infrastructure.

02

Build with code

Prepare your environment, work with coding agents, and run models while keeping control of your projects.

Aulafy foundationsPython, Git, terminal, and Docker for learning AI smoothly.Beginner · 6 lessonsView course Codex for programmersBuild, test, and ship changes with OpenAI Codex.Beginner to advanced · 10 lessonsView course Claude Code, from zero to proBuild real software by talking to AI in your terminal.Beginner to advanced · 24 lessonsView course Claude Code + Local AIYou are herePrivate AI tools that run on your machine.Intermediate · 34 lessonsView course

This branch prepares you to design and operate reliable AI systems.

03

Take systems to production

Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.

Advanced and secure RAGBuild retrieval systems that answer better and leak less.Intermediate · 14 lessonsView course Agents and automationDesign agents that can work, recover and stay under control.Intermediate to advanced · 20 lessonsView course Production agents with LangGraph and n8nTake agent prototypes into reliable operations.Intermediate to advanced · 9 lessonsView course Self-hosted AI automation for small businessesRun AI workflows on your own infrastructure.Intermediate · 10 lessonsView course AI Router and content systemRoute local and frontier models with quality, cost, and privacy controls.Intermediate to advanced · 6 lessonsView course AI security and evaluationMeasure, test and harden AI systems before trusting them.Intermediate · 7 lessonsView course Local MLOps and model deploymentServe, monitor and operate models from your own stack.Intermediate to advanced · 10 lessonsView course Fine-tuning and post-training for LLMsTrain useful adapters without losing control.Intermediate to advanced · 8 lessonsView course

You do not need every course: choose the component your system needs and return as it grows.

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