Course Title: Artificial Intelligence in the Workplace Project

Part A: Course Overview

Course Title: Artificial Intelligence in the Workplace Project

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


610P BUS Portfolio Office


Sem 1 2021

Course Coordinator: Associate Professor Christopher Cheong

Course Coordinator Phone: +61 3 9925 5793

Course Coordinator Email:

Course Coordinator Location: Building 80, City Campus

Course Coordinator Availability: via email

Pre-requisite Courses and Assumed Knowledge and Capabilities


Course Description

Artificial Intelligence (AI) is potentially one of the most impactful and transformative technologies of the 21st century. It has the potential to change the future of our work and everyday lives, and as such, it is advantageous to develop a broad understanding of the key concepts of AI, and to examine how these might impact workplaces now and in the future.  In this course you will undertake an investigation that assesses the potential for a specific AI application to be implemented in a workplace context. 

You will identify the opportunity, reflect on the human, economic and practical impacts and develop a strategy for implementation that incorporates these considerations. This course incorporates: AI technology fundamentals; Natural Language Processing; frameworks and platforms, operating models; Data and Cloud strategy; optimising a business case; implementation plans; and ethical considerations.

Objectives/Learning Outcomes/Capability Development


On successful completion of this course you should be able to:

  1. Identify the key features of A.I. and their application in business.
  2. Examine the requirements (people, resources, tools) for implementing an A.I strategy in the workplace.
  3. Apply an evaluative process to assess a business opportunity.
  4. Develop relevant solutions and create a project proposal to implement those solutions in response to identified problems and opportunities.
  5. Identify and use persuasive techniques to articulate the value proposition of your application to key stakeholders.

Overview of Learning Activities

This course is delivered as a blend of face-to-face activities (such as: workshops, lectures and group- or industry-based tasks) and online learning. Learning will be focused around the completion of a 12-week project, which will be supported through in-class and online activities. This may include: project development activities; guest speakers/expert commentators; prescribed readings; researching and analysing specific information; solving problems; producing artefacts/ proposing solutions; seeking and providing peer feedback; and reflective praxis.

Overview of Learning Resources

Various learning resources are available online through MyRMIT Studies/Canvas. Class activities, recordings, notes and outcomes are posted on Canvas.

Resources are also available online through RMIT Library databases and other facilities. Visit the RMIT library website for further details. Assistance is available online via our chat and email services, face to face at our campus libraries or via the telephone on (03) 9925 2020.

Additional resources and/or sources to assist your learning will be identified by your course coordinator and will be made available to you as required during the teaching period.

Overview of Assessment

The assessment tasks, their weighting and the course learning outcomes to which they are aligned are as follows.

Assessment Task 1: 15%
Linked CLOs: 1, 2

Assessment Task 2: 35%
Linked CLOs: 1, 2, 3,

Assessment Task 3: 50%
Linked CLOs: 1, 2, 3, 4, 5

Feedback will be provided throughout the semester in class and/or in online forums through individual and group feedback on progress, milestones and approaches, and by individual consultation.