Description
Ollama & OpenClaw: Run Open Models on Your Own Stack is a course on using Ollama and OpenClaw to build AI agents published by Udemy Online Academy. This course is a hands-on, hands-on program that teaches developers how to deploy and synchronize large open source language models locally using Ollama and build powerful AI agents with OpenClaw. Designed for AI engineers, software developers, DevOps professionals, and automation enthusiasts, this course focuses on building private, self-hosted AI solutions without relying on cloud-based AI services. Individuals will learn how to install and configure Ollama, run open LLMs locally, integrate models with OpenClaw, build standalone AI agents, connect tools and APIs, manage memory and context, orchestrate workflows, and optimize local AI performance.
You’ll learn to deploy open-source models on a Linux server and a leased GPU, build a self-hosted AI assistant with Open WebUI, and connect a standalone AI agent via OpenClaw – all without sending a single token to a third-party API. If you’re a developer tired of API fees, concerned about data privacy, or building AI tools for a team or client, this course provides you with a complete, efficient stack that you can control from day one.
What you will learn in Ollama & OpenClaw: Run Open Models on Your Own Stack:
- Privately run open source AI models using Ollama on a cloud VPS and GPU instance – no API keys, no subscriptions, no data leaving your server
- Set up Open WebUI for a private ChatGPT-like UI that connects directly to your locally running models
- Deploy autonomous AI agents using OpenClaw – web browsing, file access, and multi-threaded execution of tasks on your own infrastructure
- Run live CPU vs. GPU benchmarks and understand the importance of VRAM for LLM inference speed
- Securely connect to your private AI stack from anywhere using SSH tunneling
- Manage open source models, model files, and session configurations to control model behavior in real deployments
- And…
Course specifications
Publisher: Udemy
Instructors: Andrei Dumitrescu and Crystal Mind Academy
Language: English
Level: Introductory to Advanced
Number of Lessons: 29
Duration: 2 hours and 57 minutes
Course topics
Ollama & OpenClaw: Run Open Models on Your Own Stack Prerequisites
Basic Linux terminal experience — comfortable with cd, ls, ssh, and running commands in a terminal
A credit card to create accounts on DigitalOcean and Vast ai (GPU rental platform)
Approximately $10 in GPU credit for the Vast ai section — the VPS section uses free referral credit
Pictures
Ollama & OpenClaw: Run Open Models on Your Own Stack introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
1.8 GB