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Introduction to artificial intelligence for trainers

Offered By: Microsoft via Microsoft Learn

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Artificial Intelligence Courses Machine Learning Courses Deep Learning Courses Computer Vision Courses Neural Networks Courses AI in Education Courses

Course Description

Overview

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  • Module 1: This module explores fundamental concepts in artificial intelligence (AI) and machine learning.

    By the end of this module, you'll be able to:

    • Distinguish between supervised, unsupervised, and reinforcement learning, and identify the type of machine learning most suitable for certain scenarios.
    • Assess the effectiveness of neural networks in handling unstructured and unlabeled data compared to other machine learning techniques.
    • Evaluate statements on the role of continuous refinement in machine learning models.
  • Module 2: This module explores the dynamic integration of artificial intelligence (AI) in education.

    By the end of this module, you'll be able to:

    • Recognize how AI is being applied in an educational context.
    • Compare the use of AI-powered software in enhancing learning engagement and determine its impact on the learning process.
  • Module 3: This module explores various subsets within artificial intelligence (AI) such as natural language processing (NLP), computer vision, and recommendation systems and discuss the integration of AI-powered tools into a learning environment.

    By the end of this module, you'll be able to:

    • Understand the main advantages of applying AI-powered tools into a learning environment.
    • Analyze the differences between different AI subsets and their applications in education.

Syllabus

  • Module 1: Module 1: A guide to artificial intelligence
    • Introduction
    • What is artificial intelligence?
    • Foundational concepts of AI
    • What is machine learning?
    • Types of machine learning
    • An application of machine learning
    • How are AI and machine learning connected?
    • What is deep learning?
    • How are machine learning and neural networks connected?
    • Knowledge check
    • Summary
  • Module 2: Module 2: Tailoring trainings with AI
    • Introduction
    • Integrating artificial intelligence in education
    • AI and the future of education
    • Knowledge check
    • Summary
  • Module 3: Module 3: Exploring artificial intelligence in action
    • Introduction
    • Common AI subsets
    • AI-powered tools in education
    • Evaluating the efficacy of AI systems
    • Knowledge check
    • Summary

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