Plugins in Semantic Kernel Skills you will learn

  • Semantic Kernels Overview
  • Plugin Integration
  • Creating Custom Plugins
  • Optimizing Plugin Performance
  • Debugging and Troubleshooting Plugins
  • Scaling AI Systems with Plugins

Who should learn this free Plugins in Semantic Kernel course?

  • AI Engineer
  • Machine Learning Engineer
  • NLP Engineer
  • Data Scientist
  • AI Solutions Architect
  • AI Product Manager

What you will learn in this free Plugins in Semantic Kernel cours

  • Plugins in Semantic Kernels

    • Introduction

      01:00
      • Introduction
        01:00
    • Lesson 1: Semantic Kernel Overview

      11:15
      • Semantic Kernel Overview
        11:15
    • Lesson 2: Introduction to Plugins

      02:49
      • Introduction to Plugins
        02:49
    • Lesson 3: SWOT Analysis with Semantic Kernel

      13:37
      • SWOT Analysis with Semantic Kernel
        13:37
    • Lesson 4: Organizing Tools

      04:02
      • Organizing Tools
        04:02
    • Lesson 5: Develop AI Plugins using Semantic Kernel

      15:51
      • Develop AI Plugins using Semantic Kernel
        15:51
    • Lesson 6: AI Powered Business Memory

      08:23
      • AI Powered Business Memory
        08:23
    • Lesson 7: Plugins in Semantic Kernel

      09:53
      • Plugins in Semantic Kernel
        09:53

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Why you should learn Plugins in Semantic Kernel?

$424.01 Billion

Expected size of the global Machine Learning market by 2030.

$163K+ (USA) | INR 10.5 LPA

Average Salary of a Machine Learning Engineer annually.

About the Course

The Plugins in Semantic Kernels course teaches you how to extend and enhance the functionality of AI models using plugins. Learn to integrate pre-built plugins and create custom plugins to optimize the performance of Semantic Kernels in real-world applications. The course covers key concepts such as plugin integration, configuration, automation, and debugging, providing hands-on experience with AI systems. By the end of the course, you'll be equipped to build scalable and customizable AI solutions using plugins in Semantic Kernels.

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FAQs

  • What is the Plugins in Semantic Kernels course about?

    This course teaches you how to use plugins in the context of Semantic Kernels to extend and enhance AI models. Learn how to integrate different plugins into semantic models to improve functionality, adaptability, and performance in real-world applications.

  • Who should take this Plugins in Semantic Kernel course?

    This course is ideal for developers, AI practitioners, and data scientists who want to learn how to integrate plugins into Semantic Kernels for creating advanced AI-powered systems with enhanced capabilities.

  • Do I need prior experience with AI or Semantic Kernels?

    While familiarity with AI concepts and programming basics will be helpful, the course is designed to be beginner-friendly. We cover the essential components of Semantic Kernels and plugins, so no prior experience is required

  • What will I learn in this Plugins in Semantic Kernel course?

    You will learn how to work with Semantic Kernels, integrate various plugins, enhance AI model performance, and create custom plugins to suit specific application requirements, all aimed at building more robust AI systems.

  • What are Semantic Kernels and how do they relate to AI?

    Semantic Kernels are frameworks that help manage and integrate knowledge from multiple sources into AI models, enabling them to interpret and process complex data. The course will cover how plugins extend this functionality to address specialized tasks.

  • What types of plugins will I learn to use in this Plugins in Semantic Kernel course?

    This course covers a range of plugins such as natural language processing (NLP) tools, data connectors, machine learning models, and APIs that can be integrated into Semantic Kernels to enhance the performance of AI applications.

  • Is this course practical or theoretical?

    The course is hands-on, with practical examples and projects that teach you how to implement plugins within Semantic Kernels. You will work on real-world use cases to apply what you’ve learned.

  • How long will it take to complete the Plugins in Semantic Kernel course course?

     This Plugins in Semantic Kernel course is 2 hours long.

  • Will I receive a certificate upon completing this Plugins in Semantic Kernel course?

    Yes, you will receive a certificate post successful completion of this Plugins in Semantic Kernel course.

  • How can I apply what I learn in this Plugins in Semantic Kernel course?

    After completing this course, you will be able to integrate and develop plugins for Semantic Kernels in AI projects, whether for automating processes, enhancing data interpretation, or improving decision-making in applications like chatbots, data analysis, and recommendation systems.

  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.