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ARTIFICIAL INTELLIGENCE BIT206

Duration (approx) 100 hours
Qualification Statement of Attainment

What exactly is Artificial Intelligence and how does it work?

Artificial Intelligence makes use of deep learning and machine learning, while trying to resolve an issue logically in its own programming language. It is essentially teaching a machine to complete tasks that are usually completed by a human. The concept was developed in the 1950's when scientists began to understand further the functions of the human brain.

 



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Future- proof your business or career by gaining an understanding of Artificial Intelligence.

AI applications are many now and Artificial Intelligence can be used in many places to enhance business processes and production systems. So many industries use AI and will adopt AI systems in the future, so understanding the fundamentals is a essential for making impactful decisions for your business. This course will help you grasp all of the essential elements of Artificial Intelligence.

 

 

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 will you learn do this course?

Ask 2-3 friends or family members to list 2 artificial intelligent systems they have contact with daily or weekly.
Conduct a research on a robot of your preference.
Research ethics principles for AI online. Read 1-3 articles and take notes on any listed principles and examples of ethics in use or breaches of ethics.
Spend 5-10 minutes writing down your thoughts on ethical frameworks, then think about how your own principles or guidelines could translate to use in AI
Evaluate a substantial video which explains how artificial neural networks are formed and operate.
Survey your home or workplace and look for devices, appliances or items which use cybernetics in their control.
Search online for the phrase “Deep Learning in AI” and watch at least 3 of the videos you find.
Make a list of DNNs you use.
Using online sites available such as Quick, Draw!* or Autodraw*, or others you may know of, have a try at letting AI ‘guess’ what you’re drawing.
Use any video streaming platform and search for "look to speak technology" videos and read any available comments or reviews and note your immediate response to this AI.
Talk to someone you know who is very good at mathematics and ask them to explain what algorithms are and how they might function in artificial intelligence.
Take notes on how marketing emails in your inbox did or did not influence you to make a purchase.
Click around and explore a retail website the site and look at any suggestions the site makes for other purchases and make notes.
Look online for examples of AI use in vehicle routing problems.
Select an industry such as healthcare and do further research into how AI is used to support industry.
Think about how AI could be integrated into your industry.

Courses can be started anytime from anywhere in the world!

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