Artificial Intelligence

This course introduces artificial intelligence, covering the technology behind neural networks, deep learning and machine learning. You'll also look at the ethical and economic concerns raised by AI, and how it's actually being applied in business, industry, and environmental and primary industries. Suitable for anyone wanting a genuine grounding in AI concepts rather than just the buzzwords.

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.