Artificial Intelligence Foundation (HQ7H8S) – Outline

Detailed Course Outline

Introduction and Course Outline
  • Course overview and structure
  • Exam information
  • Daily schedule
Human and Artificial Intelligence—Part 1
  • General definition of AI
  • Ethics
  • Sustainability
  • AI as part of Universal Design and The Fourth Industrial Revolution
  • Challenges and risks
Exercise 1
  • Opportunities for AI
Human and Artificial Intelligence—Part 2
  • Learning from experience
  • Applying the benefits of AI
  • Opportunities
Ethics and Sustainability – Trustworthy AI—Part 1
  • Roles and responsibilities of humans and machines
Ethics and Sustainability – Trustworthy AI—Part 2
  • Trustworthy AI
Sustainability, Universal Design, Fourth Industrial Revolution and Machine Learning
  • Learning from data, functionality, software and hardware
Exercise Two
  • Ethics and sustainability
  • Artificial Intelligent Agents and Robotics
  • AI intelligent agent description
  • What a robot is
  • What an intelligent robot is
Being Human, Conscious, Competent and Adaptable
  • AI project teams
  • Modelling humans
Exercise Three
  • Human plus machine mindmap
What is a Robot?
  • Definition of a robot
  • Robot paradigm
Applying the Benefits of AI
  • Benefits, challenges and risks
Applying the Benefits of AI
  • Opportunities and funding
Building a Machine Learning Toolbox
  • How do we learn from data?
Building a Machine Learning Toolbox
  • Types of machine learning
Exercise Four
  • Define a simple ML problem
Building a Machine Learning Toolbox – Two Case Studies
Building a Machine Learning Toolbox
  • Introduction to probability and statistics
Building a Machine Learning Toolbox
  • Introduction to linear algebra and vector calculus
Building a Machine Learning Toolbox
  • Visualising data
A Simple Neural Network Schematic
  • Introduction to neural networks
Exercise Five
  • Maturity and funding of an AI system
Open Source ML and Robotic Systems
  • Open source software for AI and robotics
Machine Learning and Consciousness
  • Introduction to machine learning and consciousness
The Future of Artificial Intelligence
  • The human + machine
  • What will drive humans and machines to work together
Exercise Six
  • Explore the future opportunities for AI and human systems
Learning from Experience
  • Agile projects
Conclusion
Exam Practice and Preparation
Examination