Local AI Masterclass: LLMs, Diffusion & AI-Agents on Your PC

AI Automation & On-Premise AI Agents – with Ollama, LM Studio, n8n, Flowise, Docker, ComfyUI, Supabase, MCP, SQL & RAG

What you'll learn
- Fundamentals of Local AI: LLMs, Diffusion, RAG & On-Premise AI Automation
- Installation & Setup of Ollama, LM Studio & Anything LLM
- Run Local LLMs (GPT, Qwen, Deepseek, Gemma, Mistral & more)
- How Diffusion Models Work: Stable Diffusion, Flux, Wan, Qwen & more
- Understanding Hardware: GPU, VRAM, RAM, Unified Memory & Apple Basics
- Pinokio: Install Local AI Quickly & Easily
- Prompt Engineering for LLMs, SDXL & Flux Models
- Apply RAG (Retrieval-Augmented Generation) & Embeddings Locally
- Understand Vector Databases & Use Them with Supabase, Postgres & SQL
- Data Preparation in Markdown: Chunking, Overlap & Optimization
- Connect Anything LLM with Ollama & Build Your Own RAG Chatbot
- Vision Models, OCR & Image Recognition with Google Gemma and Qwen VL
- Test-Time Compute & Thinking LLMs with DeepSeek R & GPT-OSS
- Function Calling & Tool Use: Connecting External Tools with LLMs
- Understanding Quantization: FP16, BF16, Q8, Q4, GGUF & Performance Tips
- Use ComfyUI, Forge, Fooocus & Automatic1111 Locally
- Generate Images & Videos Locally with SDXL, Flux, Qwen & AI Video Models
- LoRA Training, ControlNet & Consistent Characters for AI Influencers
- Use Local AI Audio: Whisper, TTS, STT & Music Generation
- Agentic AI with n8n: Triggers, Actions, MCP Client & Host
- Integrate Supabase into n8n for Embeddings, SQL & RAG Workflows
- Email Agents, Webhooks & Automation with Google & n8n
- Connect Open WebUI & ComfyUI with n8n for Image & Video Automation
- MCP Server & Client: Local Tool Integration with n8n & LM Studio
- Build a Local RAG Agent with Flowise, Postgres & Ollama
- Docker-Based Installations for n8n, Supabase, Open WebUI & More
- OCR & Document Processing: Extract Data from Images, PDFs & Invoices
- Privacy, Compliance & Open-Source Licenses (MIT, Apache & More)
- Security: Understanding Jailbreaks, Prompt Injections, Hallucinations & MCP Rug-Pulls
- Build a Scalable On-Premise AI Infrastructure for Business & Enterprise

Requirements
- No prior knowledge required, everything is shown step by step.

Description
Do you wantfull control over artificial intelligence?Learn how to unleash the power of LLMs and image generatorsdirectly on your own computer– no cloud, no data risks, maximum performance.

AI automation and intelligent agents are transforming industries overnight.But what if you don’t want to depend on external providers?What if you need an AI infrastructure that’s100% under your control– whether for privacy, unmatched performance, or limitless creative freedom?

This course is yourstep-by-step guideinto the world oflocal AI.You won’t just learn how to install individual tools — you’ll build a complete, interconnected ecosystem wherelanguage models (LLMs),image and video generators (diffusion models), andintelligent AI agentswork seamlessly together.Everything runs entirelyon-premise— right on your own hardware.

We’ll use leadingopen-source toolslikeOllama, LM Studio, Anything LLM, Flowise, n8n, Docker, Supabase, ComfyUI, MCP, and Open WebUI.Together, we’ll build your personal AI command center for everything — from text automation to stunning image, audio, and video production, and even advanced agent-based workflows.

Forget the limitations of cloud services.After this course, you’ll be able to build an AI system that surpasses standard solutions like ChatGPT or Stable Diffusion — infunctionality, security, and individuality.

WHAT YOU WILL LEARN – SECTION BY SECTION

Section 1: Introduction & Quick Start

Get a clear overview of the course structure and learning goals.

Access all the key resources and links you’ll need to succeed.

Learn how to find the best open-source models for your projects.

Quick Tip:Install your first local AI app in minutes using Pinokio.

Section 2: Fundamentals – LLMs, Diffusion & Hardware

Understand the key advantages of local AI in terms of privacy, cost, and performance.

Demystify hardware requirements — GPU, VRAM, RAM, and unified memory explained simply.

Discover the best setups forApple Silicon vs NVIDIA GPUs.

Grasp howLLMs (GPT, Qwen)anddiffusion models (Stable Diffusion, Flux)actually work.

Section 3: Local LLMs in Action – Your Own ChatGPT with Ollama

Install and configureOllamafrom scratch and learn how to use the right models.

Masterprompt engineering, multimodal capabilities (Gemma Vision or Qwen VL), and advanced techniques likeTest-Time Compute.

Integrate external tools viaFunction Calling & Tool Useto extend your model’s abilities.

Dive intoRAG & embeddingsdirectly in Ollama and optimize withquantization(GGUF, FP8, Q8, Q4 & more).

Section 4: Knowledge Management with Anything LLM & LM Studio (RAG)

Deeply understandRAG (Retrieval-Augmented Generation), embeddings, and vector databases.

Build a localRAG chatbotwith Anything LLM and Ollama — trained on your own documents.

Use agent features likeweb search and scraping, and interact via voice usingWhisper.

Learn howLM Studioserves as a powerful all-in-one alternative to Ollama.

Section 5: Local Diffusion – Image & Video Creation with ComfyUI

Install and masterComfyUI, the most powerful local image creation tool.

Understand and use complexJSON workflowsfor SDXL, Qwen, and Flux.

TrainLoRAs, applyControlNetsfor consistent characters, and upscale images professionally.

CreateAI videos, edit images withQwen Image Edit, and explore workflows viaOpenArt.

Upscaleyour AI images with ComfyUI usingFlux, SDXL, and SUPIRto achieve ultra-sharp,high-resolutionresults.

Section 6: AI Video Creation on Your PC

Generate videos directly from text or images using models likeWan.

Animate characters or replace faces and outfits usingWan Animate.

Discover advanced local video tools likeFramePack.

Pro Tip:Speed up video generation up to 7× with a custom4-step LoRA technique.

Section 7: AI Audio – Speech, Voices & Music

Transcribe audio precisely withWhisper (STT).

Generate lifelike voices from text (TTS) or clone your own voice with open-source tools.

Create royalty-freeAI musicdirectly on your hardware.

Section 8: Agentic AI – Build Intelligent Automation Agents with n8n

Install and configure then8nautomation platform locally.

Set up a localSupabase vector databasefor your RAG agents via Docker.

Build a fully functionalRAG agentcombining Ollama, n8n, and Supabase.

Connect your agents toSQL databasesand external services like Gmail.

Section 9: Advanced Workflows – The Art of System Integration

Connect everything usingMCPas a bridge between your tools.

UseLM StudioorOpen WebUIas your central control hub for AI agents built in n8n.

Automate image and video creation by linkingComfyUIwith n8n.

Extract data from PDFs, images, and invoices automatically viaOCR.

Explorefine-tuningwith Unsloth to customize LLMs for your own data — and understand when the effort truly pays off versus using adapters or RAG.

Section 10: Flowise Crash Course – Build Visual RAG Bots

InstallFlowiseand aPostgres databaselocally with Node and Docker.

Build adrag-and-drop RAG agentthat runs entirely on your own knowledge base.

Implement aRecord Managerto maintain data integrity.

Section 11: Legal & Security – Protect Your AI System

Safeguard your setup againsthallucinations, jailbreaks, and prompt injections.

Navigateopen-source licenses(MIT, Apache, etc.) to avoid legal pitfalls.

WHY THIS COURSE IS UNIQUE:

Most courses show you how to install one tool.This course goes further– you’ll learn how to build acomplete, independent AI infrastructure.You’ll create systems that connectLLMs, diffusion, audio, video, and automationintelligently.

Whether you’re adeveloper, entrepreneur, or tech enthusiast, by the end of this course you’ll have botha deep understandingof local AI and thepractical skillsto use, scale, and even monetize it.

Who this course is for:
- Entrepreneurs & self-employed professionals who want to optimize processes and cut costs with local AI, automation & AI agents
- Developers & tech enthusiasts who want to deploy LLMs, diffusion & RAG on-premise
- AI enthusiasts who want to build their own local workflows with n8n, Flowise, Supabase & ComfyUI
- Private users who prefer data privacy and full control over their AI models
- Companies looking to implement corporate solutions without cloud dependency
- Anyone who wants to learn how to combine AI agents, automations & LLMs on-premise
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