Local & Private AI for Your Business

What this training covers

You can get real AI value without handing your business data to a third-party chatbot. Running a local language model keeps your documents, customer data, and internal knowledge on your own hardware — and it can be dramatically cheaper at scale.

This live training moves beyond the web-chatbot hype to practical, private AI: running local models, giving them your own documents, and wiring them into the tools you already use.

What you'll learn

• Run local language models with Ollama and interact with them in Open WebUI.
• Choose a model and hardware that fits your budget and workload.
• Build retrieval-augmented (RAG) workflows over your own documents.
• Create task-specific agents and internal tools, not just chat.
• Keep data private and understand where cloud APIs still make sense.
• Estimate real costs versus per-token API pricing.

Agenda

1. How local LLMs work (in plain language)
2. Ollama and Open WebUI: your first private assistant
3. Models, hardware, and what actually fits your use case
4. RAG: asking questions of your own documents
5. Building task-specific agents and internal tools
6. Privacy, cost, and a clinic for your own AI use case

Who this is for

Business owners and technical leads who want AI capability without the privacy and cost of sending everything to a third party.

Our principles

Every training is built on three priorities: privacy first, security first, and data ownership first. You leave with systems you control, running on infrastructure you own.

Materials & resources

Materials and recordings for this training are published here as they are produced and stay open for reference.