FIT3209 · Monash University
Artificial intelligence in practice: Project 2
- Credit points
- 6
- Level
- 3
- Workload
- —
- Faculty
- Information Technology
What it covers
This unit is the capstone unit in the Artificial Intelligence practice stream and, for most students, the final stage of the Monash IT Industry Practice Program. You will make a substantial individual contribution to a student-led company through real projects, products or services involving the responsible application of artificial intelligence. At this stage, you are expected to operate with professional independence, contribute to company direction and outcomes, and demonstrate readiness for industry or further study. You will take responsibility for your own professional and academic development, shape the evidence you need to demonstrate capability, and contribute to the sustainability of the company through technical contribution, mentoring, process improvement, project delivery, stakeholder engagement or leadership. As this unit is an exit point from the practice stream for most students, you will also help ensure that the company is well positioned to continue progressing the AI-enabled work you have been engaged with. This may include documenting decisions, improving workflows, preparing handover materials, supporting continuity of project knowledge, mentoring successors, strengthening team practices, and identifying next steps for the company’s products, services or projects. You will prepare a showcase portfolio that presents evidence of your capability, achievements, professional growth and individual contribution. This portfolio will support reflection on your development across the practice program and provide a curated record of your work that can be used when applying for industry roles, placements, graduate opportunities or future study. Your work will require you to apply artificial intelligence methods, tools and development practices with judgement, while considering security, privacy, ethics, social impact, project constraints, data needs, stakeholder expectations and the limitations of AI-enabled systems.
Assessment
Assessment not published yet.
When and where
Not offered in 2027, or offerings not published yet.