Local AI Revolution: Ollama and OpenClaw

What you'll learn

• Deploy Ollama on a Linux server

• Run open-weight LLMs privately

• Build a ChatGPT-style interface with Open WebUI

• Move AI workloads from CPU to GPU

• Rent and configure GPU infrastructure

• Install and configure OpenClaw

• Build autonomous agentic AI workflows

• Connect AI agents to Telegram

Running powerful AI models doesn't have to mean relying on expensive APIs or giving your data to someone else.

In this course, you'll build a complete self-hosted AI stack from an empty Linux server using modern open-source tools.

You'll install Ollama, serve open-weight models through Open WebUI, and learn how to run everything on infrastructure you control. Then you'll migrate the same setup to a rented GPU to experience the dramatic performance gains that hardware acceleration can provide.

Finally, you'll take things further by deploying OpenClaw as an autonomous AI agent, giving it the ability to perform tasks and interact through Telegram.

By the end of the course, you'll have a fully functioning private AI platform running on your own infrastructure—ready to extend, experiment with, and make entirely your own.