Source code for my Udemy Course

Develop Agentic .NET Applications Using Semantic Kernel

Master AI-Powered Application Development with Custom Tool Calls, RAG Implementation, MCP Integration and Orchestration

What you’ll learn

• Learn the basics of AI and Large Language Models (LLMs)
• Gain Proficiency with Azure AI Foundry and deploying OpenAI Models
• Understand the core concepts of the Semantic Kernel Framework
• Learn how to use Semantic Kernel to connect to many different models and model providers including Azure OpenAI, OpenAI, Inferencing API
• Learn how to use Semantic Kernel to connect to local models using ONNX, Ollama and Hugging Face
• Gain proficiency by learning how to use Semantic Kernel with ASP.NET
• Attain expert proficiency in creating Semantic Kernel plugins and function calling, adhering to industry best practices
• Learn to quickly create Plugins using existing API Endpoints
• Understand the power of integrating Model Context Protocol (MCP) servers into Semantic Kernel
• Learn how RAG works, ingest documents to create context-aware, AI-powered apps using Retrieval-Augmented Generation

Are there any course requirements or prerequisites?

• Basic .NET, C# and ASP.NET experience helpful by not necessary
• Visual Studio, VS Code or other .NET IDE
• Azure Subscription helpful but not required

Who this course is for:

• Developers and Software Engineers looking to improve their AI skills by leveraging Semantic Kernel to create AI Infused Applications
• Business Analysts and Project Managers interested in leveraging AI for Converting Data into Actionable Insights and Optimizing Business Processes

Course Content

Azure AI Foundry

• Introduction
• Deploy a Model
• User Prompts
• Chat History Overview
• System Prompt

Semantic Kernel Foundation

• Introduction
• First Semantic Kernel Application
• Prompt Execution Settings
• Chat History
• Managing Chat History
• Response Streaming

Model Providers

• Introduction
• OpenAI
• AI Inference
• Free GitHub Models
• Hugging Face
• ONNX Models
• Standalone Instances
• Ollama
• LM Studio

Multimodal Models

• Introduction
• Overview
• System Prompt
• Upload Images
• Structured Output Class Definition
• Structured Output Response Format
• Structured Output JSON

Native Plugins

• Introduction
• Review Aspire Dashboard
• Integrating Semantic Kernel with ASP.NET
• Your First Native Plugin
• Weather Plugin
• Geocode Plugin
• Personal Plugin

OpenAPI Plugins

• Getting Started with OpenAPI Plugins
• Importing OpenAPI Spec and Understanding Best Practices
• Parallel Function Calling
• Conclusion

MCP Plugins

• Understanding Model Context Protocol (MCP)
• Local & Remote MCP Servers
• MCP Clients
• Integrating with Semantic Kernel

RAG - Retrieval-Augmented Generation

• Deep Dive: How Retrieval-Augmented Generation (RAG) Works
• Document Ingestion & Embedding with Azure AI Foundry and AI Search
• Building a RAG Plugin with Semantic Kernel and Azure AI Search