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 for Advance Perception as a key component of Machine Teaching for Autonomous Intelligence systems
- Describe Deep Reinforcement Learning for human-like decision making as a key component of Machine Teaching for Autonomous intelligent systems
- Evaluate the advantages and limitations of Machine Learning and Deep Reinforcement Learning when used in Machine Teaching for Autonomous intelligent systems
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
Module 3: Learn the concept of Machine Teaching and evaluate when to use it.
In this module, you'll learn how to:
- Describe Machine Teaching
- Explain how to use Machine Teaching to outperform current industrial control systems
- Decide when Machine Teaching is the right choice for your business problem
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
Module 4: Learn AI brain design patterns and evaluate when to use them.
After completing this module, you'll be able to:
- Design Autonomous AI brains for an industrial application
- Describe the benefits and usage of brain design patterns
- Apply best practices of Machine Teaching to solve industrial business challenges
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
Module 5: Learn to identify use cases for Autonomous AI.
After completing this module, you'll be able to:
- Select use cases for Autonomous AI
- Evaluate scenarios where you can use Autonomous AI
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
Module 6: We explain how to fill out AI Specification document for Autonomous AI use case.
After completing this module, you'll be able to:
- Understand how to fill out an AI Specification document for a use case of your choice

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
Module 6: Module 6: Explore AI Specification document
- Introduction
- Design the AI Specification document
- Knowledge check
- Summary