- Level 5
- 3 Weeks
- queenstown
- Intakes in 2027
Responsible AI
This follow-up course builds on the foundational knowledge and skills acquired in Machine Learning Fundamentals. The aim of this micro credential is to provide learners with foundational knowledge of Responsible Artificial Intelligence, so they are able to guide AI projects to maximise benefits for iwi and communities, and to mitigate potential biases.
Learners will use the key aspects of Responsible AI to understand the practical implications of AI projects, identify the people, groups and roles involved in AI systems, discuss the roles that datasets have in Responsible AI, and be able to apply business ethics to machine learning applications.
Upon completion of this micro-credential graduates will have gained the necessary skills and knowledge to be able to perform entry-level responsible AI tasks on AI and machine learning systems,
both as part of a team, and independently under broad supervision.
Graduates of the micro-credential will be able to apply the fundamentals of Responsible AI to entry level roles in the New Zealand Tech, Corporate and Health and Education sectors as:
· Entry-level Data Analysts
· Entry-level Business Intelligence Analysts
· Entry-level Policy Analysts
(Applicable for Organisational Governance roles who require upskilling in Responsible AI for professional development).
Who is this course for?
- This course is open to anyone having completed Machine Learning Fundamentals who wants to get ahead of the curve.
- Education providers, Business Owners, Management or Entrepreneurs.
Programme at a glance
3 Weeks | Level 5 | Credits: 10
Micro-credential: Responsible AI
Delivered in: Queenstown
Learning outcomes:
- Understand and explain the key aspects of responsible AI for contemporary scenarios
- Identify end-users and uses of AI applications
- Discuss the differences between test and training sets
- Identify and explain the organisational roles who are accountable for different aspects of an AI system
- Evaluate if an AI system can achieve a proposed inclusive outcome for Aotearoa New Zealand
2026 Fees
| 2026 Tuition Fees | |
|---|---|
| Domestic & Australian Students | $640 |
| International Students | $1800 |
Still interested?
FAQ
- It’s open to anyone who has successfully completed the Machine Learning Fundamentals course. Those who don’t want to miss out on the transformative innovations, whilst understanding their limitations and responsible use.
- Great for CEO’s, Managers, Teachers, Business Owners, Career-changers, or High School Students.
- Not at all, no prior technical knowledge other than the completion of Machine Learning Fundamentals.
- English language or NCEA Level 2 is required.
- This course is offered in person or online.
- With online learning you are assessed via weekly quizzes, tutor check-ins and an e-workbook.
- 3-weeks.
- The course is offered either face to face in Queenstown, or yes, can be via online learning.
- It is a full time schedule, comprised of 100 hours of work over 3 weeks.
- In person this consists of 45 hours of teaching/practical/assessments, and 55 hours of self-directed learning and teamwork.
- Online is the same timeframe with a weekly tutorial session where students check in to discuss coursework or assignments.
- There is a weekly check in with the teaching team as well as forums to ask questions should you need help.
- Our student services team can guide you in the right direction for assistance.
- New Zealand Domestic Students and Australian students: $640
- International students: $1800
- Successful completion of the Machine Learning Fundamentals course.
- 18 years+ at time of course.
- A New Zealand or Australian citizen or permanent resident
- International students: If English is not your first language, evidence of competency in English is required: Achievement of NCEA Level 3 and met New Zealand University requirements, OR English proficiency of an IELTS score of 6 with no band less than 5.5 or Pearson Test of English score of 50 with no band score lower than 42 AND English proficiency outcome needs to have been achieved in the last two years before enrolment and in one sitting.
- Yes.
- Fees: $1800 NZD
- If English is not your first language, evidence of competency in English is required: Achievement of NCEA Level 3 and met New Zealand University requirements, OR English proficiency of an IELTS score of 6 with no band less than 5.5 or Pearson Test of English score of 50 with no band score lower than 42 AND English proficiency outcome needs to have been achieved in the last two years before enrolment and in one sitting.
- Yes. This course is offered online, and the in-person version in Queenstown is held in the morning, allowing an open afternoon.