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.

Do you need AI?

When looking at AI, it is important for any organisation or individual to consider whether AI would benefit them.  AI is a very useful tool, but it is not suitable for everyone. 

• It can be costly. The technology can be costly for some businesses, although it is cheaper in some areas.
• It may not be necessary. 
• Training staff to use AI can be costly, and if it is not effective or necessary, then you are adding additional costs to the business for no reason.

We also have to consider that, in a larger business, AI may be suitable in some areas of the business but not others.

So the first step is to consider –

• Does the organisation need AI?

If the answer is yes, then the organisation needs to consider how and why they need AI.
Before jumping into AI, it is useful to carry out an analysis and look at what aspects of the business would benefit from the use of AI.

• Would it reduce costs/waste/time issues?
• Why would it be beneficial to use AI as opposed to human beings?
• Would the use of AI enhance human tasks?
• Would it improve customer service?

Then consider – yes, we need AI. It is then important to consider the ways in which AI could be used and how it could enhance business operations.

For example, in a small business, staff may have multiple roles, such as answering queries, packing orders for transport, ordering stock, even producing stock.  What could be done to reduce their workload?

Every organisation is different and the way AI will benefit them will vary from organisation to organisation, so thinking creatively about AI and its uses in an organisation is essential.

You will learn more about topics like this and much more in this course.

What Are the Advantages of Studying With ACS Distance Education?

• You can start at any time to suit you.
• The courses are self-paced.
• You can study when and where suits you. They are flexible to fit in around you and your lifestyle.
• Keep up to date on your learning.
• Update your CV.
• It is not just a course, it is a package of learning that includes – course notes, tutor feedback, self-assessment tests, research tasks and assignments.
• Our tutors are all experts in their field, with years of experience in their field.
• They are also keen and enthusiastic about their subject and enjoy working with students to improve their knowledge and skills.
• Courses are also updated regularly to meet the demands of the changing needs for knowledge and to keep our courses up to date.

What Next?

Study this course and -

• Understand more about AI applications.
• Learn about 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. Futureproof your career or business by understanding more about artificial intelligence.

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