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)

Why Study AI Literacy?

AI is about teaching a computer to complete tasks usually completed by a human. AI makes use of deep learning and machine learning, while trying to resolve an issue logically in its own programming language. It has many advantages, but is only as good as the information and systems programmed into it. It can improve logistics and speed of many mundane tasks; and even complex tasks.

A.I. needs to function within the social, economic, political, ethical and legal frameworks that are at play and constantly changing. These factors can also vary from place to place and in different contexts. It requires a human to evaluate the application of A.I. according to each unique circumstance.

That skill to evaluate the use of A.I. is likely a major reason  why you need to study this course.

AIMS

• Discuss the scope and nature of artificial intelligence.
  
• Evaluate the potential and significance of artificial intelligence now and into the future.
  
• Investigate and compare human and artificial neural networks.
  
• Explain deep learning and its significance in artificial intelligence.
  
• Explain machine learning and its significance in artificial intelligence.
  
• Explain different applications for artificial intelligence in business.
  
• Explain different applications for artificial intelligence in horticulture and agriculture.
• Explain how AI can be applied in a variety of other industrial situations to process and manage operations.
• Improve your capacity to evaluate appropriate viable uses for A.I., determining when and where it should or should not be used.
• Evaluate A.I. risks and outcomes

 Who Is This Course Suitable For?

Valuable for anyone wanting to better understand, use or advance career prospects in A.I.  The course can be valuable for:

• People using A.I. at work who seek to improve their A.I. skills
• Employers wanting to train their staff
• Job seekers wanting to add A.I. literacy to their resume (research shows this has been a plus with many employers)
• Anyone concerned with the threat of A.I. to job security, who seeks to reduce that threat through both increased A.I. awareness and ability to use A.I.
• I.T. or business professionals seeking to fill a gap in their knowledge and skills
• Anyone with a strong interest or passion for A.I.

What Will You Learn in This Course?

This AI Literacy course will help you develop a practical understanding of:

• How artificial intelligence works and its role in everyday life, both in or outside of the workplace
• The benefits, opportunities, and potential risks of AI
• Common AI tools and applications, and how to use them effectively and responsibly

Whether you are looking to enhance your professional skills, meet Continuing Professional Development (CPD) requirements, or simply explore AI for personal interest, this course provides a valuable foundation for navigating an increasingly AI-driven world.

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.