Introduction to Artificial Intelligence (AI)
A 16-week NZQA Level 4 certificate course introducing students to artificial intelligence, generative AI tools, machine learning, and foundational IT concepts, with practical real-world activities and explicit study and career pathways.
STUDY FREE
NZ$4,969
inc GST
Enquire about international pricing
Free study? Yep, it’s possible. Find out if you qualify.
NZQA Level 4 Certification
Entry
1
2
3
4
5
6
7
8
9
10
Online study
Flexible online learning from anywhere
Online Campus, Online
It will take a total of 16 weeks
STUDY FREE
NZ$4,969
inc GST
Enquire about international pricing
Free study? Yep, it’s possible. Find out if you qualify.
NZQA Level 4 Certification
Entry
1
2
3
4
5
6
7
8
9
10
Core skills this course teaches
Information Analysis
Identify, select, and analyse relevant information for tasks and problem-solving.
Communication
Create and present well-reasoned arguments using appropriate media.
Self-Evaluation
Assess strengths and areas for development in study or employment.
About This Course
This 16-week part- or full-time course gives students a hands-on introduction to artificial intelligence (AI) via leading generative AI tools such as ChatGPT, Claude, DALL·E, and Gemini. Students build digital literacy, coding confidence, and teamwork skills, learn foundational machine learning and automation concepts (including a Python programming introduction), and explore the wider impact of AI on society and workplaces. The programme also covers ethical issues, data sovereignty (with reference to Māori Data Sovereignty), algorithmic impact, sustainability, and personal and professional skills for study and employment pathways, leading to the New Zealand Certificate in Study and Employment Pathways (Level 4).
Course Content
- Introduction to AI: benefits, limitations, real-world applications
- Comparison of generative AI tools: ChatGPT, Copilot, Claude, Gemini, DALL·E
- Content generation with guided prompts
- Ethical, cultural, and social implications of AI: Māori Data Sovereignty, Algorithm Charter, sustainability
- Academic skills: research, referencing, evaluating sources, time management
- Foundation of Machine Learning: supervised/unsupervised learning, automation, intelligent systems, intro to Python programming
- Applications of machine learning in various sectors
- Teamwork and communication: Tuckman’s team stages, conflict resolution
- Data essentials: data types, data preparation/cleaning, spreadsheets, basic databases, data visualisation
- Personal and professional development: self-reflection, SMART goals, transferable skills, Te Whare Tapa Whā, Te Wheke, Le Va, Fonofale models
- CV writing, interview skills, employment contracts, social media etiquette, professionalism
- Job market and industry trends analysis
- Career development planning
Entry Requirements
Hold NCEA Level 2 or equivalent evidence of ability to succeed
Build towards these roles
Entry-level tech rolesPreparation for IT and software engineering programmesDigital literacy roles
Build skills in these industries
TechnologyITArtificial Intelligence
Yoobee is a hands-on creative college for learners who want to build real things while they study. Through project-based learning, industry-connected tutors, and studio-style environments, you develop practical creative and digital skills plus a portfolio that shows how you think and what you can do.
