Learning ZerotoMastery - Local AI Revolution Ollama and OpenClaw

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ZerotoMastery - Local AI Revolution Ollama and OpenClaw
Released 7/2026
Taught by Andrei Dumitrescu
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 24 Lessons ( 2h 51m ) | Size: 581.6 MB
Take full control of your AI by building a complete self-hosted stack from scratch using Ollama and OpenClaw. Learn how to serve open models, accelerate inference with rented GPUs, and deploy autonomous AI agents that work on your terms.

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.
Homepage

https://zerotomastery.io/courses/learn-ollama-openclaw/

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