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Unlock the Potential of AI in Your Applications with Semantic Kernel

Welcome! 🎉

Welcome to the lab section of the "Unlock the Potential of AI in Your Applications with Semantic Kernel" workshop, led by Marcel de Vries, Roy Cornelissen and René van Osnabrugge

In this repository and Wiki, you will find everything you need to participate in and explore the Hands-On Labs that we have created for you. So, join us for a full-day hands-on workshop exploring the exciting world of AI and Semantic Kernel.

🔖 Table of Contents

Welcome! This file helps you (the workshop participant) to quickly understand the repository layout and find the exercises, starters, and final solutions used during the workshop.

The workshop is structured into five modules. In these modules you will follow a mix of theory and hands-on labs.

Module 0: Workshop Introduction and Prerequisites

• Lab 0.1 - Getting started with the semantic kernel workshop
• Lab 0.2 - Preparing your machine
• Lab 0.3 - Inspecting GloboTicket

Module 1: Behind the Curtain of AI Models

• Lab 1.1 - Prompting and Performance Tuning
• Lab 1.2 - Connect to an LLM

Module 2: Backstage with Semantic Kernel

• Lab 2.1 - Turning Prompts-into-Conversations
• Lab 2.2 - Plugins and Function Calling
• Lab 2.3 - Model Context Protocol integration
• Lab 2.4 - Structured Responses

Module 3: Amplify Performance with Retrieval Augmented Generation

• Lab 3.1 - Adding RAG to your application with a single prompt
• Lab 3.2 - Ingesting documents into a vector database to allow semantic search
• Lab 3.3 - Using the VectorDB for semantic search with KernelMemory

Module 4: Orchestration of AI Agents

• Lab 4.1 - Using Agents
• Lab 4.2 - Adding Function Calling
• Lab 4.3 - Human-in-the-Loop
• Lab 4.4 - Orchestration
• Lab 4.5 - If Time Permits

Module 5: Semantic Kernel in Concert

• Lab 5.1 - Integrating Semantic Kernel into an existing application

Code and Folder Structure

The repository has been created for you as a participant in the workshop. The repostiory contains the following folders.

• exercises/ — Pointers to hands-on labs in the Wiki
• prompts/ — Example prompts and prompt engineering notes used in the labs.
• src/ — Supporting code and sample projects used across the workshop (e.g., HolSemanticKernel project)

Notes for participants

• Throughout the exercises there wil be some references to datasets/ You can find these in the exercises/datasets/ folder.
• Start projects are in each module's start/ folder with incomplete code to be filled in during the labs.
• Final projects live in each module's final/ folder and are runnable .NET projects with solution files and sample data.
• If you want to run any .NET sample, open the .sln file in the corresponding final/ folder in Visual Studio or use dotnet run from the project directory.

Contact / Help

If something is missing or a file path doesn't match, ask the workshop instructor