From Zero to Hero: Microsoft.Extensions.AI in .NET

Description:

Course on Microsoft.Extensions.AI is a practical guide that will help .NET developers confidently transition from AI experiments to creating full-fledged production solutions. You will master working with local and cloud-based LLMs, learn to build smart applications, integrate on-device AI, and apply modern approaches like RAG, vector search, and image generation.

What you will learn during the course

Working with LLM in .NET

You will understand how to use Microsoft.Extensions.AI to interact with models, manage prompts, and create intelligent chat clients.

• Connecting Ollama and local models

• Dialogue history and system instructions

• Function calling

• Evaluation and testing of AI responses

Retrieval-Augmented Generation (RAG)

You will learn to enhance model capabilities with your own data using modern search mechanics.

• Creation and use of embeddings

• Working with vector storages

• Building reliable RAG pipelines

Image Generation

The course includes working with the IImageGenerator interface for creating images within .NET applications.

On-device AI and mobile capabilities

You will master the integration of local AI on devices using Microsoft.Maui.Essentials.AI and learn how to leverage Apple Intelligence features.

Deployment and cloud AI platforms

The final part is dedicated to bringing solutions to production.

• Deployment through Microsoft Foundry

• Integration with AWS Bedrock

• Practices for building scalable AI services

Who this course is for

The course is designed for .NET developers who want to confidently work with modern AI tools, create smart interfaces, optimize workflows, and implement AI functionality into real products.

Skills you will acquire

• Integration of LLM and multimodal models in .NET

• Building RAG systems

• Image generation and multimodal scenarios

• Mobile on-device AI functions

• Production deployment of AI solutions