Examine Artificial Intelligence’s Possible Uses.
The fundamental units of AI are artificial neural networks. The course analyses and contrasts artificial and human brain networks. By attempting to solve issues, the human brain gets trained. Similar to this, AI uses machine learning and deep learning while attempting to come up with a logical solution in its own programming language.
Learn about the marketing and customer service applications of AI in business. AI, for instance, can monitor a customer’s online shopping habits and provide recommendations. The business can market its items specifically. Consumers are given detailed information so they may make the best decision.
Industries including horticulture and agriculture (for example, precision pest control), the transportation and logistics sector (for example, introducing self-driven vehicles), and the healthcare sector (for example, customising patient treatment delivery) can all benefit from artificial intelligence. Other industrial sectors that utilise AI include those in education, entertainment, and the environment.
Artificial intelligence is ubiquitous!
There are 8 lessons in this course:
- Introduction to Artificial Intelligence
- A Brief History of A.I.
- Theory of Mind
- Types of Artificial Intelligence
- Three Branches of A.I.
- Strong A.I.
- Applied A.I.
- Cognitive Simulation
- Reasons AI Matters
- Introduction to Natural Language Processing
- Ethical, Economic, and other Concerns
- Ethics and A.I.
- AI Ethics Principles and Guidelines
- Ethical Perspectives
- Human Rights
- Privacy Breach
- 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
- Summation Function
- Activation Function
- Artificial Neural Networks
- Applying Artificial Neural Networks
- Digital Worm Brains
- Control system
- Artificial brain cells
- Enhanced mobility
- Deep Learning
- Universal Approximators
- Width Case
- Depth Case
- Abstraction and Function
- Training a deep neural network
- Pitfalls of Deep Neural Networks
- Machine Learning
- 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
- Business Applications
- A.I. Applications
- Customer Relationship Management
- Social Media
- Machine Learning and Social Media Ads
- Customer Service
- Application in Environmental & Primary Industries
- Agriculture and Horticulture
- Pest Control
- Precision Agriculture
- Harvesting robots
- Robot Tractors
- Environmental Industries and Climate Change
- Air Quality
- Problem Based Learning (PBL) Project
- Industrial and Other Applications
- Travel and Transportation
- Self-driving cars or automated driving systems (ADS)
- Transport, Freight, and Logistics
- Health Sector
- Individual Health and Personalised Health Care
- General Healthcare
- Education Sector
- Training and education
- Tutoring and Coaching
- Plagiarism Detection and Authorship
- Leisure Industry
- Environment Monitoring and Management
- Predicting Fire and Analysis (emergency management)
Each lesson culminates in an assignment which is submitted to the school, marked by the school’s tutors and returned to you with any relevant suggestions, comments, and if necessary, extra reading.
- Talk about the dimensions and makeup of artificial intelligence.
- Analyze the present and future potential and importance of artificial intelligence.
- Explore and contrast neural networks created by humans and machines.
- Describe the purpose of deep learning in artificial intelligence.
- Describe the importance of machine learning in artificial intelligence.
- Describe the various business uses for artificial intelligence.
- Provide examples of the various uses of artificial intelligence in agriculture and horticulture.
- Describe the various industrial settings in which AI can be used to process and manage processes.
How You Plan to Act
- Ask two or three close friends or family members to name two AIs they interact with on a daily or weekly basis.
- Do some research on the robot of your choice.
- Look up online AI ethics guidelines. Take notes on any listed principles, instances of ethics being violated, and examples of ethics in use as you read 1-3 articles.
- Write down your thoughts on ethical frameworks for 5–10 minutes, and then consider how your own principles or guidelines might be applied to AI.
- Analyze a thorough movie that outlines the creation and operation of artificial neural networks.
- Look around your house or workplace for gadgets, appliances, or other products that are controlled by cybernetics.
- Watch at least three of the videos you find online after conducting a search for “Deep Learning in AI.”
- List the DNNs you employ.
- Try letting artificial intelligence (AI) “predict” what you’re drawing using one of the many internet resources available, such as Quick, Draw!*, Autodraw*, or others you may know of.
- Utilize any video streaming service to look for “look to speak technology” videos, read any comments or reviews that may be present, and record your initial reaction to this AI.
- Ask a friend or family member who excels in mathematics to describe algorithms and how they might be used in artificial intelligence.
- Make a note of whether or not receiving marketing emails in your inbox influenced you to make a purchase.
- Browse around and browse a retail website, taking note of any recommendations it offers for additional purchases.
- See examples of AI use in truck routing issues online.
- Choose a sector, such as healthcare, and further investigate how AI is used to support that sector.
- Consider how AI might be incorporated into your sector.
Artificial Intelligence Career Possibilities
Product Manager – Managers evaluate impacts based on data interpretation and adapt or modify systems to boost business growth.
Big Data Engineers: Utilizing big data, these professionals create systems that enable businesses to communicate with their clients and the rest of the world in an efficient manner.
Business intelligence developers identify business patterns and use the resulting data to advance their organisation.
Data scientists collect data and make predictions using historical and current data patterns.
Robotics scientists create a wide range of robotic devices for various applications.