Explore the world of Artificial Intelligence
- the concept of artificial intelligence (AI)
- related concepts of machine learning and deep learning
- applications across a range of industries
Course Content
This course is divided into eight lessons as follows:
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
2. Ethical, Economic, and other Concerns
- ETHICS AND ARTIFICIAL INTELLIGENCE
- AI Ethics Principles and Guidelines
- ETHICAL PERSPECTIVES
- Human Rights
- Privacy Breach
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
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
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
6. Business Applications
- AI APPLICATIONS
- Marketing
- Customer Relationship Management
- SOCIAL MEDIA
- Machine Learning and Social Media Ads
- Customer Service
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
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)
Course Duration - 100 hours
Learn about the Nature and Applications for Artificial Intelligence, Deep Learning and Machine Learning
AI, machine learning, and deep learning are related but they are not identical.
Machine Learning is a science concerned with developing computer programs that automatically improve with experience, in other words it is the science of learning, where different techniques can be applied. With machine learning, it is possible to systematically understand what model performs better and under what circumstances.
Deep learning is a technique or a subset of machine learning derived from artificial neural networks. It is a technique that allows computational models of multiple processing layers to learn representations of data with multiple levels of abstraction. This computational "intelligence" has enabled applications in the health industry for example, that are as efficient as those conducted by a trained physician. It is similarly applied in agriculture, medicine, laboratory, physics, and so on. There are two pre-requisites for deep learning:
- High throughput data (large amount of data, aka Big Data)
- Massive Computing Power and memory (more specifically computer graphics processing unit (GPU), central processing unit (CPU), Random-access memory (RAM)).
Artificial Intelligence is the capacity of a computer or computer operated equipment to carry out tasks that would normally or otherwise be carried out by a human.
Why Study this Course?
Artificial intelligence is increasingly being used in the world - at work, home and play. Whether you are developing it or using it, and in whatever context, you are likely to be increasingly encountering A.I.
This course provides a fundamental understanding of A.I., it's potential and it's application. It will develop a deeper and more realistic understanding, and in doing so, provide a foundation tor being better at using or working with A.I.
Some may study it to improve efficiencies at work, others as professional development to broaden or deepen their learning of technology.
