Local Ai Masterclass: Llms, Diffusion & Ai-Agents On Your Pc
Published 10/2025
Created by Arnold Oberleiter
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 103 Lectures ( 13h 58m) | Size: 8.53 GB
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 want full control over artificial intelligence?Learn how to unleash the power of LLMs and image generators directly 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's 100% under your control - whether for privacy, unmatched performance, or limitless creative freedom?This course is your step-by-step guide into the world of local AI. You won't just learn how to install individual tools - you'll build a complete, interconnected ecosystem where language models (LLMs), image and video generators (diffusion models), and intelligent AI agents work seamlessly together.Everything runs entirely on-premise - right on your own hardware.We'll use leading open-source tools like Ollama, 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 - in functionality, security, and individuality. WHAT YOU WILL LEARN - SECTION BY SECTIONSection 1: Introduction & Quick StartGet 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 & HardwareUnderstand 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 for Apple Silicon vs NVIDIA GPUs. Grasp how LLMs (GPT, Qwen) and diffusion models (Stable Diffusion, Flux) actually work. Section 3: Local LLMs in Action - Your Own ChatGPT with OllamaInstall and configure Ollama from scratch and learn how to use the right models. Master prompt engineering, multimodal capabilities (Gemma Vision or Qwen VL), and advanced techniques like Test-Time Compute. Integrate external tools via Function Calling & Tool Use to extend your model's abilities. Dive into RAG & embeddings directly in Ollama and optimize with quantization (GGUF, FP8, Q8, Q4 & more). Section 4: Knowledge Management with Anything LLM & LM Studio (RAG)Deeply understand RAG (Retrieval-Augmented Generation), embeddings, and vector databases. Build a local RAG chatbot with Anything LLM and Ollama - trained on your own documents. Use agent features like web search and scraping, and interact via voice using Whisper. Learn how LM Studio serves as a powerful all-in-one alternative to Ollama. Section 5: Local Diffusion - Image & Video Creation with ComfyUIInstall and master ComfyUI, the most powerful local image creation tool. Understand and use complex JSON workflows for SDXL, Qwen, and Flux. Train LoRAs, apply ControlNets for consistent characters, and upscale images professionally. Create AI videos, edit images with Qwen Image Edit, and explore workflows via OpenArt. Upscale your AI images with ComfyUI using Flux, SDXL, and SUPIR to achieve ultra-sharp, high-resolution results.Section 6: AI Video Creation on Your PCGenerate videos directly from text or images using models like Wan.Animate characters or replace faces and outfits using Wan Animate.Discover advanced local video tools like FramePack.Pro Tip: Speed up video generation up to 7x with a custom 4-step LoRA technique.Section 7: AI Audio - Speech, Voices & MusicTranscribe audio precisely with Whisper (STT). Generate lifelike voices from text (TTS) or clone your own voice with open-source tools. Create royalty-free AI music directly on your hardware. Section 8: Agentic AI - Build Intelligent Automation Agents with n8nInstall and configure the n8n automation platform locally. Set up a local Supabase vector database for your RAG agents via Docker. Build a fully functional RAG agent combining Ollama, n8n, and Supabase. Connect your agents to SQL databases and external services like Gmail. Section 9: Advanced Workflows - The Art of System IntegrationConnect everything using MCP as a bridge between your tools. Use LM Studio or Open WebUI as your central control hub for AI agents built in n8n. Automate image and video creation by linking ComfyUI with n8n. Extract data from PDFs, images, and invoices automatically via OCR.Explore fine-tuning with 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 BotsInstall Flowise and a Postgres database locally with Node and Docker. Build a drag-and-drop RAG agent that runs entirely on your own knowledge base. Implement a Record Manager to maintain data integrity. Section 11: Legal & Security - Protect Your AI SystemSafeguard your setup against hallucinations, jailbreaks, and prompt injections. Navigate open-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 a complete, independent AI infrastructure. You'll create systems that connect LLMs, diffusion, audio, video, and automation intelligently. Whether you're a developer, entrepreneur, or tech enthusiast, by the end of this course you'll have both a deep understanding of local AI and the practical skills to 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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