Tutorials Microsoft Agent Framework with Ollama Tutorial
Introduction to AI
Introduction to AI: free step-by-step lesson with examples, common mistakes, and interview tips — part of Microsoft Agent Framework with Ollama Tutorial on Toolliyo Academy.
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Microsoft Agent Framework with Ollama Tutorial · Lesson 1 of 100
Introduction to AI
Foundations & Ollama → .NET & Agents → RAG & Ops → Projects
Foundations & Ollama · 1 — Local model · ~6 min · Foundations — AI & Agents
What is this?
AI means software that can learn patterns from data or follow model-generated reasoning to help with tasks. In this course we focus on practical local AI: you run a model on your machine with Ollama and call it from .NET.
Why should you care?
Companies want assistants for CRM, support, and docs — but many cannot send private data to a public cloud API. Local AI is the privacy-friendly path.
See it live — copy this example
Run CLI steps in a terminal. Run C# samples in a .NET 8 console or Web API project with Ollama running on localhost:11434.
# Check you are ready for the course
dotnet --version
# Next lessons install Ollama and pull a small modelWhat happened?
- dotnet --version confirms the .NET SDK.
- Ollama install comes in the next module.
- your local AI app is the sample product name we use across projects.
Practice next
- Install .NET 8 SDK if missing.
- Create a folder your local AI app.
- Write one sentence: what problem will your agent solve?
- Name your first agent use case.
- List two data sources it must never leak.
Remember
AI here = useful local assistants. We use Ollama + ASP.NET Core. Privacy is a first-class goal.
Why LocalAIDesk exists
A mid-size firm wants a helpdesk draft agent without uploading tickets to a third party.
Outcome: You can explain the course goal in plain English.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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