Course Experience
You will access the course learning materials and take part in interactive learning activities each week, along with a cohort of other students. You'll work on a project throughout the course to guide your exploration of AI and machine learning. At three key milestone points, you'll create and submit assessed work on a project.
You can access all of the course materials and engage in all of the course learning activities right here in the platform. You will have 3 hours per week of live contact time with a lecturer comprising of:
- A 2 hour seminar workshop, held at 2pm-4pm (Australian Eastern Daylight Time) every Tuesday
- A 1 hour (optional) consultation, held at 2pm-3pm (Australian Eastern Daylight Time) every Wednesday
Your lecturer will review your work on learning activities and provide you with feedback on the three assessed milestone submissions during the course.
Course Structure
Week 1: Introduction to Artificial Intelligence
Week 2: Basics of Machine Learning and AI Applications
Week 3: Introduction to Deep Learning and Neural Networks
Week 4: Introduction to Natural Language Processing
Week 5: NLP and Language Generation Models
Week 6: Introduction to Computer Vision
Week 7: Advanced Computer Vision
Week 8: Ethical Considerations in AI Development
Week 9: AI Applications in Various Domains
Week 10: Future Implications
