Course Structure and Lesson Content
There are 8 lessons, as outlined below.
Lesson 1- Introduction to Artificial Intelligence
A Brief History of AI
Theory of Mind
Types of Artificial Intelligence
Three Branches of AI
Strong AI
Applied AI
Cognitive Simulation?
Reasons AI Matters
Introduction to Natural Language Processing
Lesson 2- Ethical, Economic, and other Concerns
Ethics and Artificial Intelligence
AI Ethics Principles and Guidelines
Ethical Perspectives
Human Rights
Privacy Breach
Lesson 3- Neural Networks
Structure of the Human Nervous System
Cells of the Nervous Tissue
Main anatomical features of Neurons
Neural Circuits
Intelligence and Adaptability
Artificial Neurons
Input
Weight
Bias
Summation Function
Activation Function
Artificial Neural Networks
Applying Artificial Neural Networks
Digital Worm Brains
Control system
Cybernetics
Artificial brain cells?
Enhanced mobility
Lesson 4- Deep Learning
Size
Width
Depth
Capacity
Architecture
Universal Approximators
Width Case
Depth Case
Abstraction and Function?
Training a Deep Neural Network
ReCaptcha
Pitfalls of Deep Neural Networks
Lesson 5- Machine Learning
Algorithms
Structured Data
Practical Applications
Unstructured Data
Semi-Structured Data
Applying Algorithms
Three types of Machine Learning
Supervised Machine Learning
Unsupervised Machine Learning
Reinforcement Machine Learning
Lesson 6- Business Applications
AI Applications
Marketing
Customer Relationship Management
Social Media
Machine Learning and Social Media Ads
Customer Service?
Lesson 7- Application in Environmental & Primary Industries
Agriculture and Horticulture
Pest Control
Precision Agriculture?
Harvesting robots
Robot Tractors
Environmental Industries and Climate Change
Poaching
Air Quality
Problem Based Learning (PBL) Project?
Lesson 8- Industrial and Other Applications
Introduction
Transport
Travel and Transportation
Self-driving cars or automated driving systems (ADS)
Transport, Freight, and Logistics?
Factories
Health Sector
Individual Health and Personalised Health Care?
General Healthcare
Modelling
Education Sector
Training and education
Tutoring and Coaching
Plagiarism Detection and Authorship
Leisure Industry
Entertainment
Environment Monitoring and Management
Predicting Fire and Analysis (emergency management)
What Next?
Study this course and -
- Understand AI applications.
- Learn how AI can enhance business processes and production systems.
- Study how industries use AI.
Understanding the fundamentals of AI is essential for in many industries. Future proof your career or business by understanding more about artificial intelligence.