Introduction to artificial intelligence for trainers

Microsoft via Microsoft Learn

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Overview

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...

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