Example Curriculum
Introduction
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days
days
after you enroll
Private AI: Ollama + Open Source Models From Scratch
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days
days
after you enroll
- DigitalOcean Sign Up and SSH Setup (4:08)
- Create the Droplet and Set Up Your User (8:39)
- Install and Configure Ollama (7:04)
- Where to Find Ollama Models: Ollama Library, Hugging Face, GGUF, and Model Tags (6:38)
- Pull Models and Run Your First Inference (11:38)
- Parameters, Quantization, and VRAM: Why Models Are the Size They Are (11:58)
- Adjusting Model Behaviour in the Interactive Shell (7:19)
- Saving and Reusing Model Configurations (6:31)
- Customizing Models with Modelfile (7:54)
- ChatGPT-Like Interface for Your Private AI: Open WebUI Setup (7:19)
- Access Your AI Securely From Anywhere: SSH Tunneling Explained (8:14)
- LM Studio: A Desktop Alternative to Ollama (5:18)
GPU Inference on Vast.ai + OpenClaw: 20× Faster, Same Stack
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days
days
after you enroll
- Introduction: From CPU to GPU (3:34)
- Sign Up on Vast.ai and Add Your SSH Key (4:43)
- Deploy a GPU Instance and Connect (7:24)
- Install and Configure Ollama (7:26)
- Pull Models and Manage the Instance (7:15)
- CPU vs GPU - Live Benchmark (5:13)
- What Is Agentic AI? The Shift From Chatbots to Autonomous Agents (8:21)
- Install and Configure OpenClaw (6:38)
- Session Startup and Terminal Multiplexing (11:25)
- Connect Telegram to OpenClaw (8:21)
- OpenClaw Config: Telegram Hardening (4:02)
Where To Go From Here?
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days
days
after you enroll