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

The Local AI Masterclass is a comprehensive roadmap designed for developers, system administrators, and AI enthusiasts who want to harness the power of artificial intelligence directly on their local hardware. Led by Arnold Oberleiter, this course demystifies the process of setting up, optimizing, and deploying state-of-the-art Large Language Models (LLMs), diffusion tools, and autonomous AI agents without relying on costly or privacy-compromising cloud APIs. Students will dive deep into the mechanics of local deployment, learning how to leverage tools like Ollama, LM Studio, and Pinokio to run cutting-edge models such as DeepSeek, Gemma, and Mistral. The curriculum extensively covers hardware optimization, explaining how GPU VRAM, system RAM, and quantization formats like GGUF impact execution speed and model fidelity. Beyond text generation, the course explores local computer vision, OCR, and advanced image/video generation using ComfyUI, Stable Diffusion, and Flux. A major highlight of this masterclass is its focus on agentic workflows and local RAG. Learners will master complex automation platforms like n8n and Flowise, connect vector databases using Supabase and Postgres, and orchestrate secure, enterprise-grade AI infrastructures using Docker. By the end of this course, participants will be fully equipped to design, build, and deploy robust, sovereign AI solutions tailored for personal or enterprise use cases.