Introduction to Artificial Intelligence (AI)
Computer Science
A course by
Yoobee College of Creative Innovation
Gain practical skills in artificial intelligence and digital literacy, exploring leading AI tools, machine learning fundamentals, data essentials, and career planning, culminating in the New Zealand Certificate in Study and Employment Pathways (Level 4).
Online study
Flexible online learning from anywhere
Online Campus, Online
It will take a total of 16 weeks
Core skills this course teaches
Information Analysis
Identify, select, and analyse relevant information for tasks and problems using current AI and data tools.
Communication
Create and present well-reasoned arguments and findings using appropriate media formats and channels.
Self-Evaluation
Assess individual strengths and areas for growth to support academic and employment goals.
What You're Signing Up For
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
What you need to know first
What sort of industry will this job lead to
Information Technology
Artificial Intelligence
Software Engineering
Digital Technology
Future employment opportunities might be
Entry-level roles in digital innovation, AI applications, and IT support
Preparation for study in IT, software engineering, and computer science