This 16-week course introduces foundational concepts in artificial intelligence, including how generative AI tools work, the basics of machine learning, and essential data skills. Students also build digital literacy, academic competencies, and career planning skills. The curriculum covers responsible use of AI in society, the ethical and cultural considerations, teamwork, Python programming, and personal development planning to support study and employment pathways in digital technology. Successful graduates receive the NZ Certificate in Study and Employment Pathways (Level 4).

Course Content

• Introduction to AI: principles, benefits, limitations, real-world applications

• Hands-on experience with ChatGPT, Claude, DALL·E, Gemini, Copilot

• Ethical, cultural, and social implications of AI (Māori Data Sovereignty, Algorithm Charter, sustainability)

• Research skills: academic referencing, evaluating sources, time management

• Foundations of machine learning: supervised/unsupervised learning, automation, intelligent systems, Python programming

• Teamwork and communication, conflict resolution, team development

• Data essentials: types/sources of data, data preparation, spreadsheets, databases, data visualisation

• Information analysis and problem-solving with data

• Personal and professional pathways: transferable skills, self-reflection, goal setting (Te Whare Tapa Whā, Te Wheke, Le Va, Fonofale)

• Career planning: CV writing, interview skills, cover letters, social media etiquette, employment contracts, job market trends

• Personal Development Plan