Home AI Professional learning Explore AI in education

 

 

To learn more about AI, explore our free, self-paced professional learning for teachers Foundation to Year 10. Choose from nine modules designed to build understanding of AI concepts such as Generative AI, machine learning and bias, responsible AI, programming and ethics.

All modules are freely accessible via the links below. No log-in is required.
A certificate of completion is available for the Generative AI modules.

Jump to: Generative AI Readiness and Implementation | Artificial Intelligence in Digital Technologies

Generative AI Readiness and Implementation

(Developed in collaboration with Microsoft)
Build confidence and capability in using generative AI tools like Copilot to enhance teaching and learning safely and responsibly.

Module title

AI readiness: Preparing teachers for safe and effective use of GenAI

Focus

Builds teacher readiness and digital literacy for using generative AI tools such as Copilot effectively and responsibly

Target audience

All Teachers (F-10)

Duration

60–90 mins

Focus: Builds teacher digital literacy and readiness to use Generative AI tools like Copilot safely and effectively.
Audience: All Teachers (F–10)
Duration: 60–90 min
Outcomes: Participants will:
•    explore GenAI for admin and personalised learning
•    strengthen their own digital literacy
•    support student digital capability development
•    align practice with AITSL standards

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AI implementation: Strategies for guiding students in safe and effective use of GenAI

Provides practical classroom strategies for integrating GenAI with students (age 13+)

Secondary teachers (Years 7–10)

60–90 mins

Focus: Practical strategies for integrating Generative AI tools into the classroom (age 13+), building on teacher readiness
Audience: Secondary Teachers (Years 7–10)
Duration: 60–90 min
Outcomes: Participants will:

  • guide students in safe, responsible GenAI use
  • adapt GenAI activities for classroom learning
  • support student digital literacy
  • align practice with AITSL standards
Start module

Now available – free, live Q&A-style sessions  designed for educators who have started or completed the GenAI Readiness modules.

Artificial Intelligence in Digital Technologies

Designed for Digital Technologies teachers (F–10) exploring AI as a curriculum context.
Modules cover how AI works, how to teach it, and how to engage students ethically and creatively.

Module title

Artificial intelligence: What’s it about?

Focus

Introduction to AI concepts and everyday applications

Target audience

Digital Technologies Teachers (F-10)

Duration

1 hour

Focus: Intro to AI concepts, everyday applications, and classroom relevance
Audience: Digital Technologies Teachers (F–10)
Duration: 1 hour
Outcomes: Participants will:

  • identify everyday uses of AI
  • use AI as a context for learning
  • explain benefits and challenges of AI
  • distinguish Generative vs non-Generative AI
  • explore non-Generative AI tools
  • consider key factors for classroom use
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How does an AI learn?

Machine learning and data bias using practical classroom examples

Digital Technologies Teachers (F-10)

1 hour

Focus: Explores machine learning through hands-on examples, including image recognition and data bias
Audience: Digital Technologies Teachers (F–10)
Duration: 1 hour
Outcomes: Participants will:

  • explain how AI is trained to recognise images
  • use classroom examples to teach machine learning
  • understand bias and dataset quality
  • connect AI learning to curriculum contexts
Start module

AI and conventional programming (Primary)

Using AI as an authentic context for developing visual programming skills

Digital Technologies Teachers Primary (Years 3–6)

1 hour

Focus: Uses AI systems as a context for developing visual programming skills and understanding key differences from conventional programming
Audience: Digital Technologies Teachers – Primary (Years 3–6)
Duration: 1 hour
Outcomes: Participants will:

  • compare AI and conventional programming
  • use AI to support visual programming skill development
  • understand relevant programming concepts for Years 3–6
  • incorporate AI models into visual programs
  • connect learning to curriculum outcomes
  • assess student programming projects
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AI and conventional programming (Secondary)

Exploring AI libraries in JavaScript and Python for coding projects

Digital Technologies Teachers Secondary
(Years 7–10)

1 hour

Focus: Explores AI coding using JavaScript and Python libraries, comparing AI and conventional programming approaches
Audience: Digital Technologies Teachers – Secondary (Years 7–10)
Duration: 1 hour
Outcomes: Participants will:

  • compare AI and conventional programming
  • use digital tools and libraries (e.g. Teachable Machine, Scikit) in coding projects
  • develop programming skills for Years 7–10
  • connect learning to curriculum outcomes
  • consider ways to assess student programming projects
Start module

Responsible AI 

Ethics, impacts, and evaluating AI-driven solutions

Digital Technologies Teachers (F-10)

1 hour

Focus: Explores ethical considerations and societal impacts of AI, helping teachers guide students through evaluating AI-driven solutions
Audience: Digital Technologies Teachers (F–10)
Duration: 1 hour
Outcomes: Participants will:

  • identify values and ethics in AI evaluation
  • apply ethical understanding to AI-driven solutions
  • explore ethical dilemmas with students
  • connect responsible AI to curriculum outcomes
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Designing AI-driven solutions

Applying design thinking to create user-centred AI solutions

Digital Technologies Teachers
Primary (Years 3–6)
Secondary (Years 7–10)

1 hour

Focus: Applies user-centred design to create AI solutions that are ethical, accessible, and aligned with user needs
Audience: Digital Technologies Teachers

  • Primary (Years 3–6)
  • Secondary (Years 7–10) 

Duration: 1 hour
Outcomes: Participants will:

  • describe and apply the user-centred design process
  • incorporate user stories into AI solution design 
  • connect design thinking to curriculum outcomes
Start module

Inside an AI (Neural Networks)

Understanding artificial neural networks and how AI “thinks”

Digital Technologies Teachers Secondary (extension)

1 hour

Focus: Explores how artificial neural networks (ANNs) work, including structure, learning processes, and mathematical foundations
Audience: Digital Technologies Teachers – Secondary (extension)
Duration: 1 hour
Outcomes: Participants will:

  • describe how ANNs are structured with layered neurons
  • explain deep learning and weight adjustment
  • trace a simple spreadsheet-based ANN
  • understand the maths behind ANNs (products, sums, functions)
  • apply learning to real-world ANN models
Start module