Machine Teaching for Autonomous AI

Microsoft via Microsoft Learn

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Overview

Module 1: Learn automated intelligence methods and evaluate when to use it.In this module, you'll learn how to: Describe automated methods included in Automated Intelligence Describe automated methods strengths and weaknesses Decide when automated methods are best used "Produced in partnership with the University of Oxford Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course" Module 2: Learn Autonomous Intelligence technologies and evaluate when to use it.In this module, you'll learn how to: Describe Machine Learning...

Syllabus

Module 1: Module 1: Explore Automated Intelligence
- Introduction
- Discover Automated decision methods
- Math - Making the predictable decisions with control theory
- Menus - Searching for the right decision with optimization algorithms
- Manuals - Expert Rules
- Evaluate the use of Automated decision methods
- Knowledge check
- Summary

Module 2: Module 2: Explore Autonomous Intelligence
- Introduction
- Discover Autonomous Intelligence technologies
- Evaluate the use of Autonomous Intelligence technologies
- Knowledge check
- Summary

Module 3: Module 3: Introduction to Machine Teaching
- Introduction
- What is Machine Teaching?
- How Machine Teaching works
- Design a brain for Soap Extruder scenario
- When to use Machine Teaching
- Knowledge check
- Summary

Module 4: Module 4: Explore brain design patterns
- Introduction
- Perception Pattern
- Functional Pattern
- Strategy Pattern
- When to choose a specific pattern
- Knowledge check
- Summary

Module 5: Module 5: Explore the art of selecting use cases for winning Autonomous AI
- Introduction
- How to select use cases
- When to use an Autonomous AI solution
- Knowledge check
- Summary