Local Ai With Ollama & Open Webui: Run Your Own Private Ai

Local Ai With Ollama & Open Webui: Run Your Own Private Ai
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch

What you’ll learn

Understanding local AI: model, runtime and interface – and why your data stays in-house

Choosing the right hardware and model, even entirely without a GPU

Installing Ollama on Linux and Windows and running it as a service on the network
Measuring and tuning speed: threads, quantization, context and mixture of experts

Using the model in scripts via the command line, the REST API and the OpenAI API

Setting up Open WebUI for the team: users, knowledge base, web search, MCP and HTTPS

AI in admin work: Bash, PowerShell, logs, systemd and SSH hardening reviewed by AI

Using AI agents locally: Cline, Kilo Code, Claude Code and OpenCode with Ollama

Having a local agent write Terraform, Ansible and Docker Compose

Automating with n8n and Python: alerts, documents and whole folders

Running it safely: backups, updates, prompt injection, hallucinations and costs

Requirements

NO experience with AI models required.

Basic knowledge of Linux and the command line is helpful.

A computer with at least 32 GB of memory (or a VM on Proxmox VE) to reproduce the content yourself – no GPU needed.

Description

System administrators and DevOps engineers who want to use AI in their daily work without handing data to the cloud.,IT professionals and homelab enthusiasts who want to run their own AI with Ollama, Open WebUI, agents and n8n.