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The courses

A complete AI curriculum,
Certificate I to IV.

Four vertically-integrated courses that take a learner from "AI exists" to "I can implement and govern it" — each a standalone program, together a pathway.

The progression

Awareness → application → understanding & evaluation → implementation & governance. Each level is designed to stand alone and to feed the next.

AQF 1
Certificate I
220 hrs · 8 modules

Certificate I — Digital & AI Awareness

Meet AI safely — for school students (Years 7–10) and adult beginners.
  • Working digitally, and staying safe online
  • What AI is, and where it already appears in daily life
  • How computers think: data, patterns and simple algorithms
  • Talking to AI tools, safely and supervised
  • Privacy, deepfakes, healthy habits, fairness and honesty
  • A first guided AI project
AQF 2
Certificate II
360 hrs · 10 modules

Certificate II — Applied Digital & AI Technologies

Use AI productively — for senior school (VET-in-Schools) and entry-level adults.
  • Data literacy and how machines learn
  • Working with generative AI across text, images and media
  • Prompting essentials and AI ethics in practice
  • AI tools in the workplace; simple no-code automation
  • Communicating about AI, and an applied AI project
AQF 3
Certificate III
600 hrs · 12 modules

Certificate III — AI Fundamentals — the flagship

Understand and evaluate AI — for school leavers, career changers and existing workers.
  • Foundations, data, and core machine learning
  • Neural networks, NLP & large language models, computer vision
  • Generative AI in depth; prompt engineering & interaction design
  • AI ethics, law and governance in Australia
  • Evaluating AI: testing, bias and reliability
  • AI across Australian industries, plus a capstone project
AQF 4
Certificate IV
720 hrs · 12 modules

Certificate IV — Applied Artificial Intelligence

Implement and govern AI — for workplace implementers, team leaders and career changers.
  • AI systems architecture; data management & governance
  • Applied machine learning; integrating AI (APIs, retrieval, automation)
  • Designing AI solutions and managing AI projects
  • Responsible AI: risk, compliance and governance
  • AI security & safety; human–AI collaboration and adoption
  • Evaluating & monitoring AI in operation; an industry capstone
In every certificate

Not slides — a complete teaching and assessment system.

Full teaching content — every session written so a non-specialist trainer can deliver from the page.
Assignments with rubrics — competency-based, with Satisfactory / Not-Yet descriptors and graded overlays.
A final examination — knowledge test, scenarios and a supervised practical, with complete answer keys.
Capstone projects (Cert III & IV) — gated, with templates and viva question banks.
A trainer & assessor guide — delivery maps, assessment-mapping matrices, validation schedules.
Unplugged alternatives — every tool activity has a no-account, offline option.
A note on qualifications. These programs are developed to AQF specifications and are currently offered as non-accredited courses (for example, "Course in AI Fundamentals (Certificate III level)"). A formal accreditation pathway is part of our roadmap — read more.

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