The complex world of artificial intelligence (AI) covers many areas of computing, and it is driving digital disruption across the globe. New technologies are helping to redefine most industries, and many organisations are looking to take advantage of recent AI advances, which is creating demand for skilled professionals.
Introduction to Artificial Intelligence is a professional development course that will explain how artificial intelligence can help solve real-world problems in the context of artificial environments.
In this artificial intelligence course, you will discover how artificial intelligence is used in business, from marketing to customer relations, and about the critical ethical and economic dilemmas that underpin decisions on machine learning.
You will also learn about deep learning and its significance in artificial intelligence, as well as the three types of machine learning – supervised, unsupervised and reinforcement – and its application in business, industry and the environment.
On completion of this course, you will understand the valuable underpinnings of AI and machine learning and leverage AI techniques across a broad range of innovative industries.
Course Structure
Unit - Artificial intelligence
Unit 1 – Introduction to Artificial Intelligence
- Meaning of AI
- The history of AI
- Machine learning
- Two prerequisites for deep learning
- Theory of mind
- Types of artificial intelligence
- Three branches of AI
- Strong AI
- Applied AI
- Cognitive simulation
- Reasons AI matters
- Design Thinking
- Creativity
- Critical Thinking
- Computational Thinking
- Introduction to natural language processing
- Glossary of terms
Unit 2 – Ethical, Economic, and Other Concerns
- Ethics and artificial intelligence
- AI ethics principles and guidelines
- Ethical perspectives
- Human rights
- Privacy breach
- STEM (Science, Technology, Engineering and Mathematics)
Unit 3 – Neural Networks
- Structure of the human nervous system
- Cells of the nervous tissue
- Parts of a neuron
- Neuron function
- 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
Unit 4 – Deep Learning
- Solving problems logically
- Size
- Width
- Depth
- Capacity
- Architecture
- Universal approximators
- Width case
- Depth case
- Abstraction and function
- Training a deep neural network
- Recaptcha
- All in one data training
- Pitfalls of deep neural networks
Unit 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
Unit 6 – Business Applications
- AI applications
- Marketing
- Customer relationship management
- Social media
- Machine learning and social media ads
- Moderation
- Customer service
- Content Generation and Curation
Unit 7 – Application in Environmental and Primary Industries
- Agriculture and horticulture
- Pest control
- Precision agriculture
- Harvesting robots
- Robot tractors
- Environmental industries and climate change
- Poaching
- Air quality
Unit 8 – Industrial and Other Applications
- 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)
Study Hours
Estimated duration 50 hours
Course Delivery and Start
Start anytime, self-paced and 100% online
Assessment
Assessment will be comprised of written exercises, including short-answer questions, reflective tasks, short reports and/or projects. There are no examinations or due dates for assessment. As a result, you can complete training in your own time and at your own pace with the assistance of unlimited tutor support.
Approval and Recognition
Australian Online Courses Pty Ltd is an approved and recognised member of IARC. The IARC is an International association that recognises quality and excellence in tertiary education providers.
Testimonials
Excellent course material with plenty of opportunity to research around the topic.
S. Nazaretian, Carnegie, VIC | Introduction to Artificial intelligence
The whole course has been great and the assessment really helped me with the application of the learning.
Leanne | Wodonga, VIC | Introduction to Artificial Intelligence
It was easy to follow and helpful that I could do it at my own pace.
Glenn | Cue, WA | Introduction to Artificial Intelligence
The ease of access to course materials made returning to study after a break really easy.
Grant | Lilydale, VIC | Introduction to Artificial Intelligence
Graduation
A Certificate of Attainment and Statement of Results will be issued upon successful completion of this course.
How to Enrol
Enrolment Form – Employment Services and Rehabilitation Providers
Enrol via Live Chat (Business Hours)
Enrol via Telephone 1300 76 2221 (Business Hours)
Payment Options
Visa, Mastercard, BPAY and EFT/Direct Deposit. Please allow 1-2 Business days for processing for EFT and BPAY.
Course FAQs
Why Choose Australian Online Courses?
- Professional development that is widely recognised and respected;
- Improve your employment opportunities;
- Study online, anywhere via our elearning system;
- High-quality professional development programs written by industry experts;
- All course materials provided online – no textbooks to buy;
- Unlimited tutor support via email;
- We offer twelve (12) months’ access, with extensions available upon application (fees apply);
- Course may be tax deductible; see your tax advisor.
Are there any entry requirements or pre-requisites?
There are no course or subject pre-requisites for entry into our programs. However, our professional development programs are generally intended for people over the age of 18. In some circumstances, enrolments from younger people may be considered. Please complete the AOC Parent Guardian Consent Form prior to enrolling and submit here.
Are there any computer requirements?
To study online with Australian Online Courses you will need a computer (desktop PC/laptop) running a current/updated operating system with reliable high-speed internet access. You will need to use the Google Chrome browser to access your course.
When can I start this course?
You can start within 60 minutes during business hours when you enrol and pay in full with a credit card!
Credit card: Within 60 mins during business hours.
BPAY: Within 1-2 working days.
Internet Banking: Within 1-2 working days.
Cheque/Money Order: Upon receipt of mailed cheque.
How is this course delivered?
This course is delivered online via our easy-to-navigate Learning Management System (LMS), where you will discover interactive online learning/written content, resources and assessment.
Do I need to attend classes or undertake any work placements?
No. All courses are delivered online via our LMS and there are no work placement requirements in this course.
What support can I expect from Australian Online Courses?
Unlimited tutor support is available throughout your studies via email only during business hours Monday to Friday. Our Administrative team are available Monday to Friday via email, live chat and telephone.
I am an international student. Can I enrol into this course?
Yes! We accept enrolments from individuals both within Australia and internationally; location is no barrier to entry into our programs.
Career Pathways
Future growth
Strong
Unemployment
Low
Professional Development for:-
- Data Scientists
- Software Engineers
- Artificial Intelligence Developers
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