Build a Private Local AI Server with Ubuntu, Docker & Ollama (Video Course) is a hands-on certification that guides you to deploy a fast, private AI server you fully control with Ubuntu, Docker, NVIDIA GPUs, Ollama, and Open WebUI.
You'll gain Increased Productivity, Competitive Advantage, Improved Decision-Making, Higher Income Potential, and a Future-Proof Career through Adaptability and Growth by mastering this practical, end-to-end stack.
Enroll now to keep data in-house, cut subscriptions, and serve your team from one secure box with clear admin controls.
This certification covers the following topics:
- Hardware planning for a cost-effective Ubuntu AI server
- Ubuntu installation and system preparation (bootable USB, updates, terminal essentials)
- NVIDIA driver setup and GPU acceleration verification
- Docker installation and container best practices
- NVIDIA Container Toolkit for GPU-enabled containers
- Ollama installation, model downloads, and runtime management
- Open WebUI deployment, configuration, and admin controls
- Networking configuration for secure multi-user access on your LAN
- Security, governance, and data privacy for in-house AI
- Performance tuning, stability best practices, and quick validation tests
- Retrieval-Augmented Generation (RAG) to use your documents
- Scaling to a team: concurrency, model policies, and maintenance routines
