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DeepLearning.AI

How Business Thinkers Can Start Building AI Plugins With Semantic Kernel

  • up to 1 hour
  • Beginner

Learn how to use and create with Microsoft’s open source orchestrator, Semantic Kernel. Develop your business planning and analysis skills while leveraging AI tools. Advance your skills in LLMs by using memories, connectors, chains, and more.

  • Large Language Models (LLMs)
  • Semantic Kernel
  • Business Applications
  • AI Tools
  • Prompt Development

Overview

In this course, you’ll learn how to use and create with Microsoft’s open source orchestrator, Semantic Kernel. Along the way, you’ll gain skills in getting the most out of LLMs, developing prompts, semantic functions, vector databases, and using an LLM for planning. By the end of the course, you will be able to develop sophisticated business applications using LLMs, leverage common LLM building blocks, and utilize the open source orchestrator, Semantic Kernel, in your applications.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

Business Thinkers

Individuals looking to develop sophisticated business applications using AI tools.

Coders and Non-Coders

Anyone interested in learning how to use and create with Microsoft’s open source orchestrator, Semantic Kernel.

AI Enthusiasts

People who want to leverage common LLM building blocks such as memories, connectors, chains, and planners.

This course will teach you how to develop sophisticated business applications using AI tools like Semantic Kernel. It covers key topics such as LLMs, prompt development, and AI planning, making it ideal for business thinkers, coders, and AI enthusiasts. By the end of the course, you will be equipped to leverage AI for business planning and analysis.

Pre-Requisites

1 / 3

  • Basic Python knowledge

  • Understanding of an Application Programming Interface (API)

  • Familiarity with what a Software Design Kit (SDK) is (helpful but not required)

What will you learn?

Introduction to Large Language Models (LLMs)
Learn the basics of Large Language Models and their applications.
Using Semantic Kernel
Understand how to use Microsoft’s open source orchestrator, Semantic Kernel.
Developing Prompts
Gain skills in developing effective prompts for LLMs.
Semantic Functions
Learn about semantic functions and their role in AI applications.
Vector Databases
Understand the use of vector databases in AI applications.
AI Planning
Learn how to use an LLM for planning and developing business applications.
Memories and Connectors
Leverage common LLM building blocks such as memories and connectors.
Chains and Planners
Utilize chains and planners in your AI applications.
Integrating AI Tools
Learn how to integrate various AI tools using Semantic Kernel.
Advanced Business Applications
Develop sophisticated business applications using LLMs and Semantic Kernel.

Meet your instructor

  • John Maeda

    VP Artificial Intelligence and Design, Microsoft

    John Maeda is an American technologist and product experience leader currently serving as the vp artificial intelligence and design at Microsoft. He is the author of five books, including 'How To Speak Machine: Gentle Intro to AI+ML' and 'Laws of Simplicity'.

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