AI empowerment for educators and students
The growing presence of AI in education presents both opportunities and challenges for teachers and their students. Enhancing teaching effectiveness, supporting personalised learning, and developing essential digital literacy – these are all readily achievable with AI. However, untrained use of AI tools can severely compromise learning outcomes. RAIL certification is a foundational program equipping teachers and students with the knowledge and skills necessary to leverage AI’s educational potential while maintaining academic standards and fostering meaningful learning experiences.
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RAIL for Teachers & Students
Why RAIL?
In today’s rapidly evolving educational landscape, schools face a critical choice: embrace AI thoughtfully or risk leaving both their staff and students underprepared for the future.
The future of education belongs to institutions that can effectively integrate AI while maintaining academic integrity and fostering genuine learning. Schools that fail to develop clear AI policies and equip their teachers and students with proper AI literacy risk falling behind in preparing young people for an AI-driven world.
Engaging and applicable
Approachable course material provides both foundational knowledge and practical exercises, allowing for immediate boost to staff and student’s safe and effective use of common generative AI platforms.
Customisable modules
Beyond education electives “AI for Teachers” and “AI for Students,” RAIL allows for the creation of custom modules aligned with your institution’s policies, teaching methods, and technology guidelines.
Workplace recognition
Developed with experts from leading companies, government agencies, and universities, RAIL is recognised by industry leaders and ensures content relevant to your students’ future careers..
Course details
RAIL is delivered online through engaging video modules and in-depth text content.
If you wish to organise in-person delivery for your staff or students, please contact us.
Certification is achieved following successful completion of 4 core plus 2 elective modules.
Industry Recognition
Widely acknowledged across industry sectors
Verified Credential
Licence issued on the blockchain via partner Authentical
Assessment
Multiple-choice examinations for each topic
Flexibility
Students learn at own pace with asynchronous content
10+ hours
Total volume of learning with additional options
Support
Access to local assistance when required
Core Modules
1 – Introduction to AI
Topic 1.1: Understanding AI Fundamentals and Terminology
- Understand the basics of AI, including its history and development
- Learn about the different types of AI: Narrow AI, General AI, and Artificial Superintelligence
- Explore key AI technologies such as Machine Learning, Natural Language Processing, and Robotics
- Define and explain common AI terminology and concepts.
Topic 1.2: Introduction to Major Generative AI Platforms and Real-World Considerations
- Get introduced to commonly used generative AI platforms
- Understand the potential and limitations of AI in real-world scenarios.
Topic 1.3: Beyond Generative AI
- Explore the diverse landscape of AI applications beyond text and image generation
- Understand the role of AI in data analysis and predictive modeling
- Learn about AI in decision support systems, computer vision, image recognition, robotics and automation, and others
- Examine AI's role in autonomous systems (e.g., self-driving cars, drones).
2 – AI in the Workplace
Topic 2.1: Enhancing Workplace Productivity with AI
- AI Tools for Automation: Learn how AI can automate routine tasks like email sorting and scheduling
- AI-Powered Productivity Platforms: Explore tools for task management, reminders, and organisation
- Other Productivity Gains with AI: Image Creation, Assisting with Spreadsheets, and various other uses
- Sample use cases: Illustrative examples of individual employees and businesses improving productivity using AI.
Topic 2.2: AI Tools for Decision-Making
- Understand the role of AI in improving data-driven decision-making processes
- Learn how AI supports business decisions through predictive analytics and risk assessment
- Explore practical applications of AI in financial analysis and operational decision-making
- Discuss how AI helps leaders make informed decisions by analysing large datasets.
Topic 2.3: AI in Various Industries
- Understand how AI is shaping a range of industries, including a high-level view of its impact on finance, manufacturing, retail, transportation and logistics, marketing, education, agriculture, and legal and compliance.
3 – Ethics, Security, and Privacy
Topic 3.1: Practical AI and Ethical Considerations
- Learn about the challenges of implementing AI in businesses (e.g., scalability, costs)
- Explore basic ethical considerations when using AI (e.g., transparency, accountability)
- Understand how to navigate AI systems and ensure responsible use in business environments.
Topic 3.2: Protecting Data in an AI World
- Understand the basics of data privacy and security in AI-driven environments
- Learn simple strategies to protect personal and professional data when interacting with AI systems
- Explore examples of AI-related data incidents and their impact on individuals
- Discover how to improve data security in an AI-enhanced world.
Topic 3.3: The Social Impact of AI
- AI's Influence on Society: Explore how AI is shaping various aspects of daily life, including any potential negative consequences
- AI and Employment: Understand the impact of AI on job markets and future employment opportunities
- Understand basic human rights regarding AI including government responses, with reference to Australia's AI Ethics Principles
- Explore resources for staying informed about AI policies affecting you.
4 – Prompt Engineering
Topic 4.1: Fundamentals of Prompt Design
- Learn the basic principles of creating clear, effective prompts for AI models
- Understand how prompt design influences the behavior of generative AI systems like ChatGPT
- Explore simple examples of prompt design and its outcomes.
Topic 4.2: Crafting Effective Prompts for Common Tasks
- Explore examples of effective prompts for various professional tasks (e.g., writing assistance, generating ideas, research help, solving basic problems, formatting assistance)
- How to reduce bias in prompts
- Understand how to refine prompts and reprompt to get better results
- Practice basic prompt design techniques to improve response quality, using ChatGPT, Claude, Gemini, or Meta.
Topic 4.3: Managing Common Risks Associated with Generative AI Responses
- Understanding Generative AI Limitations and Risks
- Identifying and Mitigating AI Hallucinations
- Developing Critical Thinking Skills
- Handling AI-Generated Errors
- Fostering a Culture of Responsible AI Use.
Elective Modules

AI for Teachers
Topic 1: AI for Personalised Learning and Student Engagement
- Understand how AI can be used to personalise student learning experiences
- Learn how to use AI tools to identify student learning gaps
- Explore AI-driven platforms for enhancing student engagement.
Topic 2: AI for Classroom Management and Administration
- Master AI tools that assist in automating administrative tasks
- Learn to use AI for managing classroom activities and student records
- Understand how AI can improve communication between teachers, students, and parents.
Topic 3: AI for Professional Development and Teacher Support
- Learn how AI can assist teachers in improving their skills and staying updated
- Understand the role of AI in providing on-demand professional development
- Explore AI-driven tools for teacher collaboration and resource sharing.

AI for Students
Duration: Approximately 1 hour
Topic 1: Using AI Safely at School
Learning Outcomes:
- Understand what you can and can’t use AI for in high school (including school policies).
- Learn how to spot when AI is making mistakes or giving wrong information.
- Know how to keep yourself safe online when using AI tools.
- Understand why it’s important to do your own thinking and not just copy AI answers.
Topic 2: AI as Your Study Buddy
Learning Outcomes:
- Learn how to use AI to understand difficult homework topics better.
- Master ways to create study notes and flashcards with AI help.
- Discover how AI can help explain complex topics in simpler terms.
- Practice using AI to organise your study time and homework schedule
Topic 3: AI for Better Learning
Learning Outcomes:
- Learn how to use AI to improve your research for projects.
- Understand how AI can help with different school subjects (Math, Science, English, etc.).
- Master techniques for using AI to practise and check your work.
- Discover how AI can help with learning languages and understanding different cultures.

AI for Office Admin
Topic 1: AI-Powered Document Management and Processing
- Master AI tools for document scanning, OCR, and text extraction
- Learn to use AI-assisted document classification and organisation techniques
- Understand how to leverage AI for automated data entry and form filling
- Explore AI-powered tools for proofreading and grammar checking.
Topic 2: AI-Enhanced Scheduling and Calendar Management
- Discover AI-powered scheduling assistants
- Master techniques for managing multiple calendars efficiently
- Learn how to use AI for smart meeting scheduling
- Understand AI tools for automated follow-ups and reminders.
Topic 3: AI Tools for Customer Service and Communication in Office Administration
- Explore AI chatbots and virtual assistants for routine inquiries
- Learn to use AI tools for email management
- Understand how to leverage AI for sentiment analysis in communications
- Master AI techniques for FAQ and knowledge base maintenance.
Role-based Electives
Working with ChatGPT
Duration: Approximately 1 hour
Topic 1: Understanding ChatGPT and OpenAI
Learning Outcomes:
- Understand the background of OpenAI and how it positions ChatGPT.
- Identify the key features and capabilities of ChatGPT.
- Recognise the differences between ChatGPT versions (3.5 vs. 4).
- Understand ChatGPT's knowledge cutoff dates and limitations.
Topic 2: Essential ChatGPT Skills
Learning Outcomes:
- Navigate the ChatGPT interface effectively.
- Master basic prompt creation for common workplace tasks in ChatGPT.
- Learn conversation management techniques (editing prompts, starting new threads).
- Practice working with ChatGPT's memory limitations within a conversation.
Topic 3: Advanced Features and ChatGPT Plus
Learning Outcomes:
- Understand the enhanced capabilities of ChatGPT Plus (GPT-4, DALL-E integration, plugins).
- Learn advanced prompt techniques for complex tasks.
- Explore real-time web browsing capabilities in ChatGPT Plus.
- Understand when to use different GPT models based on task requirements.
Available 29 November 2024
Maximising Claude
Duration: Approximately 1 hour
Topic 1: Understanding Claude and Anthropic
Learning Outcomes:
- Understand Anthropic's background and their "Constitutional AI" approach.
- Identify Claude's key features and capabilities across different versions (Haiku, Sonnet, Opus).
- Recognise Claude's unique strengths, especially in handling longer contexts and document analysis.
- Understand Claude's knowledge cutoff dates and key limitation.
Topic 2: Essential Claude Skills.
Learning Outcomes:
- Navigate Claude's interface effectively.
- Master basic prompt creation tailored to Claude's capabilities.
- Learn how to effectively upload and work with documents in Claude.
- Practice conversation management and maintaining context in long discussions.
Topic 3: Advanced Claude Features
Learning Outcomes:
- Understand differences between Claude models and when to use each.
- Master advanced prompt techniques that leverage Claude's strengths in analysis and reasoning.
- Learn effective document analysis techniques using Claude's file handling capabilities.
- Explore Claude's code interpretation and generation features.
Available 29 November 2024
Leveraging Google Gemini
Duration: Approximately 1 hour
Topic 1: Understanding Gemini and Google's AI Approach
Learning Outcomes:
- Understand Google's AI development approach and Gemini's place in their ecosystem.
- Identify key features across different Gemini versions (Nano, Pro, Ultra).
- Recognise Gemini's unique multimodal capabilities (text, images, code).
- Understand Gemini's integration with Google's search and knowledge graph.
Topic 2: Essential Gemini Skills
Learning Outcomes:
- Navigate the Gemini interface effectively.
- Master basic prompt creation that leverages Gemini's real-time search capabilities.
- Learn how to effectively use Gemini's image analysis features.
- Practice working with Gemini's fact-checking and source verification tools.
Topic 3: Advanced Gemini Applications
Learning Outcomes:
- Understand when to use different Gemini models based on task requirements.
- Master advanced prompt techniques that leverage Gemini's multimodal capabilities.
- Learn effective code generation and debugging using Gemini.
- Explore Gemini's integration with Google Workspace tool.
Available 6 December 2024
Microsoft Copilot in Practice
Duration: Approximately 1 hour
Topic 1: Understanding Copilot and Microsoft's AI Vision
Learning Outcomes:
- Understand Microsoft's AI strategy and how Copilot fits into the Microsoft 365 ecosystem.
- Identify key features of Copilot across different applications (Word, Excel, PowerPoint, Teams).
- Recognise Copilot's integration with Microsoft Graph and organisational data.
- Understand Copilot's limitations and knowledge boundaries.
Topic 2: Essential Copilot Skills
Learning Outcomes:
- Navigate Copilot's interface across different Microsoft applications.
- Master basic prompt creation for common Office tasks.
- Learn effective document generation and editing with Copilot.
- Practice using Copilot for meeting summaries and email management in Outlook.
Topic 3: Advanced Copilot Features
Learning Outcomes:
- Understand advanced features across different Microsoft applications.
- Master data analysis and visualisation techniques using Copilot in Excel.
- Learn effective presentation creation and enhancement with Copilot in PowerPoint.
- Explore Copilot's collaborative features in Teams and SharePoint.
Available 8 December 2024
Midjourney for Business
Duration: Approximately 1 hour
Topic 1: Understanding Midjourney and Image Generation
Learning Outcomes:
- Understand Midjourney's unique approach to AI image generation, including its integration with
- Discord and the new Alpha interface.
- Identify key features and how they've evolved over time.
- Recognise Midjourney's core capabilities and limitations (especially for business use) in its current state.
- Understand important copyright and ethical considerations in AI image generation.
Topic 2: Essential Midjourney Skills
Learning Outcomes:
- Navigate both the Discord interface and the Alpha interface effectively for Midjourney image generation.
- Master basic prompt construction for business-appropriate images.
- Learn essential parameters (--ar, --stylize, --quality, --chaos) and any new parameters introduced in recent updates.
- Practice image refinement techniques (variations, upscaling, remixing) with the latest tools.
Topic 3: Advanced Midjourney Applications
Learning Outcomes:
- Understand advanced parameters for professional results (--tile, --style, --seed) and any new advanced options.
- Master techniques for brand-consistent image generation.
- Learn effective multi-prompting and "describe" approaches.
- Explore best practices for business documentation and image organisation within Midjourney's evolving environment.
Available 18 December 2024
View sample course material
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Frequently asked questions
Who can benefit from RAIL certification?
RAIL is designed for individuals and organisations looking to improve both their productivity and safety in the use of Artificial Intelligence (AI) tools and platforms. Course materials will provide benefit for everyone from beginners through to confident users looking to expand their skillsets, as well as those in charge of leading teams through the AI transition.
Is any prior knowledge required?
No. RAIL guides participants from foundational understanding through to use of common platforms, explaining all concepts in easily understood language.
What is the certification process?
Upon successful completion of the course, participants are entitled to RAIL 1 Certification. To earn the certification, participants must pass a multiple choice assessment for each module, scoring a minimum of 60%. RAIL 1 credentials are then issued on the blockchain and verifiable through our partner Authentical.
How much does it cost?
Pricing for individuals, team, and enterprise licences is available here.
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