Slides
The tutorials are mainly based on the excellent course “How Business Thinkers Can Start Building AI Plugins With Semantic Kernel” provided by John Maeda and Andrew Ng
Take a look at the slides tutorial to learn how to use all slide options.
You have several options to start code development:
Colab: Click on one of the links “💻 Jupyter Notebook” to start a Colab session.
Local: Click on one of the links “💻 Jupyter Notebook” below, go to the Colab menu and choose “File” > “Download” > “Download .ipynb”
Cloud Codespace: Work in a fully configured dev environment in the cloud with a GitHub Codespace VS Code Browser environment.
Local VS Code with Codespace: Use GitHub Codespaces in your local Visual Studio Code environment.
1 Semantic Kernel introduction
Learn how to utilize the open source orchestrator, the Semantic Kernel, in your applications:
To learn more about the Semantic Kernel, take a look at these resources:
2 SWOT-Analysis
Develop business applications like SWOT using LLM’s:
3 Business Plugins
Use different plugins to enhance Semantic Kernel
4 Design Thinking
Use Design Thinking to empathize with customers and solve their challenges:
5 Vector store database
Learn how to use data in a vector store database:
6 Core Plugins
Learn how to add the tools for the kernel to do math, to read/write files, to tell the time, and to play with text. You can find more about core plugins here.
7 Create your own App: Chat Copilot
This tutorial allows you to build your own integrated large language model (LLM) chat copilot. The sample is built on Microsoft Semantic Kernel and has two components: a frontend React web app and a backend .NET web API service:
Learn more: