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  1. Урок 1. 00:04:35
    Introduction to the Local AI Revolution
  2. Урок 2. 00:04:09
    DigitalOcean Sign Up and SSH Setup
  3. Урок 3. 00:08:40
    Create the Droplet and Set Up Your User
  4. Урок 4. 00:07:05
    Install and Configure Ollama
  5. Урок 5. 00:06:39
    Where to Find Ollama Models: Ollama Library, Hugging Face, GGUF, and Model Tags
  6. Урок 6. 00:11:39
    Pull Models and Run Your First Inference
  7. Урок 7. 00:11:59
    Parameters, Quantization, and VRAM: Why Models Are the Size They Are
  8. Урок 8. 00:07:20
    Adjusting Model Behaviour in the Interactive Shell
  9. Урок 9. 00:06:32
    Saving and Reusing Model Configurations
  10. Урок 10. 00:07:55
    Customizing Models with Modelfile
  11. Урок 11. 00:07:20
    ChatGPT-Like Interface for Your Private AI: Open WebUI Setup
  12. Урок 12. 00:08:14
    Access Your AI Securely From Anywhere: SSH Tunneling Explained
  13. Урок 13. 00:05:19
    LM Studio: A Desktop Alternative to Ollama
  14. Урок 14. 00:03:35
    Introduction: From CPU to GPU
  15. Урок 15. 00:04:44
    Sign Up on Vast.ai and Add Your SSH Key
  16. Урок 16. 00:07:24
    Deploy a GPU Instance and Connect
  17. Урок 17. 00:07:27
    Install and Configure Ollama
  18. Урок 18. 00:07:16
    Pull Models and Manage the Instance
  19. Урок 19. 00:05:14
    CPU vs GPU - Live Benchmark
  20. Урок 20. 00:08:22
    What Is Agentic AI? The Shift From Chatbots to Autonomous Agents
  21. Урок 21. 00:06:39
    Install and Configure OpenClaw
  22. Урок 22. 00:11:26
    Session Startup and Terminal Multiplexing
  23. Урок 23. 00:08:22
    Connect Telegram to OpenClaw
  24. Урок 24. 00:04:03
    OpenClaw Config: Telegram Hardening