Building Skills with Semantic Kernel

1h 7mIntermediate2023-04-17

Authors

John Maeda

VP of Design and Artificial Intelligence at Microsoft

Course details

Are you looking to get started with Semantic Kernel (SK), the most recent addition to the Microsoft AI ecosystem? It’s time to get up to speed with the brand-new, widely talked-about tool that’s completely revolutionizing software development.

Award-winning designer and engineer John Maeda shows you what it takes to level up your AI skill set and incorporate SK into your daily product workflow. Get an overview of the core concepts of SK such as skills, memories, connectors, and kernels, before diving deeper into the new face of AI, which integrates LLM AI capabilities directly into applications. Along the way, John shares advice and practical insights on key functionalities including running notebooks, Simple Chat Summary, Book Creator, Microsoft Graph, and GitHub Repo Q&A Bot.

Skills covered

Natural Language Processing (NLP)Programming FoundationsGenerative AIArtificial Intelligence FoundationsArtificial Intelligence (AI)Software DevelopmentOne-Off

Concepts

0. Introduction

01 - Why use Semantic Kernel
02 - How did you get here
03 - Using Semantic Kernel to improve design thinking

1. SK Concepts

04 - Defining Semantic Kernel concepts
05 - Building skills
06 - Using memories
07 - Adding connectors
08 - Firing up the kernel

2. Diving into SK

09 - Downloading SK and running notebooks
10 - Running Simple Chat Summary
11 - Running Book Creator
12 - Running Microsoft Graph
13 - Running GitHub Repo Q&A Bot

Conclusion

14 - Learning more