This is the repository for the LinkedIn Learning course Semantic Kernel in Action: 1 Fundamentals. The full course is available from LinkedIn Learning.
As AI becomes increasingly important in software development, Semantic Kernel offers a powerful tool for .NET developers to create, orchestrate, and integrate AI components and memories. In this course, developer community lead and software architect José Luis Latorre empowers you to stay ahead in the rapidly evolving AI landscape and guides you in building sophisticated AI solutions. Get a comprehensive overview of Semantic Kernel, including plug-ins, planners, and memories. Gain hands-on experience in setting up the environment, creating and orchestrating plug-ins, mastering planners, and working with memories. Plus, complete a final project that brings all the concepts presented in the course together.
See the readme file in the main folder for updated instructions and information.
This repository organizes content in folders under /src/... for each of the videos in the course that contains a practice or code exercise.
You can navigate to a specific folder to review the code at that stage of the course.
The folders are structured to correspond to the videos in the course that include a practice or code exercise. The naming convention is CHAPTER#_MOVIE#. For example, the folder named 02_03 corresponds to the second chapter and the third video in that chapter, if that video includes a practice or code exercise.
Some folders will represent the beginning and end states of a practice or code exercise. These are marked with the letters b for "beginning" and e for "end". The b folder contains the code as it is at the beginning of the video. The e folder contains the code as it is at the end of the video. The main folder holds the final state of the code for the course.
This method/structure is simpler than the other method used in LinkedIn courses which uses branches and does not create branch conflicts which arise issues when changes are not committed. Again, it is recommended that you fork this repository if you'd like to do changes or perform the exercises as intended.
- To use these exercise files, you must have the following installed:
- .NET 8.0, Visual Studio Code, GIT Client and a Azure OpenAI/OpenAI subscription for local development.
- Clone this repository into your local machine using the terminal (Mac), CMD (Windows), or a GUI tool like SourceTree.
- To fully set your environment, follow chapter 02 video 01, which guides you on the setup.
You will notice that on Chapter 07 there is only one b beginning folder. This is intended as the e corresponding folder are the beginning state for the next practice, so if something does not work, check those folders for anything that might have been missed.
Jose Latorre
Developer Community Lead and Software Architect at Swiss Life AG
Check out my other courses on LinkedIn Learning.