RMIT University
Ethical AI
- Delivery: Online
- Duration: Four weeks
- Course Type: Short Course
- Total Price: $750
Explore how artificial intelligence ethics principles can help counteract bias and support a fairer, more ethical future, while gaining insight into how responsible AI practices promote fairness and impartiality through this course delivered in partnership with Udacity.
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Course overview
This course empowers students to understand and apply ethical AI principles, teaching them how to design and build models that promote fairness and minimise bias. Students will develop ethical AI literacy skills that support more meaningful discussions across AI disciplines and enable the application of ethical principles within organisations.
The Ethics of Artificial Intelligence course is delivered in partnership with Udacity, giving students access to both Udacity’s learning and career services, along with course enablement support from the RMIT Online Learner Success team. Upon successful completion, students will also receive an RMIT University credential that can be uploaded to LinkedIn to verify skill mastery in the discipline.
Key facts
7th September, 2026
What you will study
Introduction to Ethical AI
- Articulate the context and motivation for ethical AI.
- Create an ethical AI perspective to understand the strengths and weaknesses of our thinking.
Prerequisites
For Ethical AI, students should have experience working with and/or knowledge of the following topics:
- Identify and articulate the popular use cases of AI systems in society, such as an autonomous vehicles, smart voice assistants and robots.
- Create a machine learning model, such as a linear or logistic regression model, a naive Bayes classifier or a neural network using the scikit-learn framework.
- Perform basic data parsing and visualisation activities, including using pandas data frames and visualisation libraries such as matplotlib.
- Create efficient scripts using Python 3.7.6 or higher versions using variables, functions and common data types.
- Articulate fundamental concepts on AI lifecycle phases (e.g., training and deployment), the inputs to AI systems (e.g. image, text, tubular) and the outputs/results of a typical AI system (e.g, predictions, interferences).
How you will learn
During this course, you will have the opportunity to demonstrate your newly acquired Ethical AI skills through a final project. Your final project will be to use AI ethics for personalised budget prediction.
After completing this course, you’ll walk away with your own AI application and an RMIT credential, which can be validated, recognised and shared on social media platforms.
What you will learn
By the end of this course, you'll be able to:
- Design an AI model applying ethical considerations.
- Quantify potentially harmful impacts of AI within the model and apply bias mitigation techniques.
- Communicate the ethical considerations of AI for a business use case.
Who should attend
This Ethical AI course is ideal for:
- Data specialists and AI practitioners who want to deepen their understanding of the ethical implications and challenges associated with AI development and deployment.
- Aspiring AI policy and risk professionals interested in the societal and policy aspects of AI, such as AI ethics consultants, policymakers and strategists.
Industry Partnerships and Accreditations
