Why RAIL Certification Matters
In the new AI world, businesses will fall into two categories: those who embrace AI, and those who resist it.
The future belongs to the innovators, and those who fail to integrate AI into their operations will be left behind, unable to compete in a rapidly evolving landscape. To survive and thrive, adaptation is essential. RAIL certification helps drive this adaptation by providing a shared understanding of AI concepts and training in core AI skills.
Minimise Risk
As AI tools become increasingly pervasive, those who master their use will lead the way in innovation, efficiency, and problem-solving across all industries and sectors.
Boost Productivity
Learn practical AI skills that enhance decision-making, automate routine tasks, and improve daily operational efficiency.
Future-proof skills
Empower and equip your workforce with foundational AI knowledge that will remain relevant as the technology evolves.
Industry relevance
Mining and energy elective module contextualises AI for the industry, going beyond generative AI to look at various other AI technologies in use and development.
Comprehensive AI Training Program
RAIL is delivered online through engaging video modules and in-depth text content.
If you wish to organise in-person delivery for your team with one of our accredited trainers, 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
8+ hours
Total volume of learning with additional options
Support
Access to local assistance when required
Core Modules
The Responsible Use of AI License (RAIL) certification delivers foundational AI knowledge through comprehensive core modules designed for professionals in all roles.
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 Sales
Topic 1: AI for Lead Generation and Qualification
- Understand how AI tools can be used to identify and qualify leads automatically
- Learn how to integrate AI into lead scoring to prioritise sales opportunities
- Explore AI-powered tools for data enrichment and customer insights.
Topic 2: AI for Personalised Sales Outreach
- Master AI-powered personalization techniques for effective sales communication
- Explore AI-driven email marketing and outreach tools
- Understand how AI can enhance customer relationship management (CRM).
Topic 3: AI for Sales Forecasting and Analytics
- Learn how to use AI for sales forecasting and predicting future revenue
- Understand how AI can identify trends and patterns in sales data
- Explore AI-powered sales analytics for performance monitoring and decision-making.
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.
AI for Marketing
Topic 1: AI for Market Analysis and Consumer Insights
- Understand how AI tools can gather and analyse market data to uncover trends
- Learn to use AI for consumer behavior analysis to improve marketing strategies
- Explore AI-powered tools for audience segmentation and targeting.
Topic 2: AI for Personalised Marketing Campaigns
- Master AI-powered personalisation techniques for effective customer engagement
- Learn about AI-driven content creation and curation
- Understand how AI can optimise email and social media marketing.
Topic 3: AI for Marketing Performance Analysis
- Learn how AI tools can track and measure the effectiveness of marketing campaigns
- Understand how to use AI for ROI analysis and budget allocation
- Explore AI-powered tools for competitor analysis and benchmarking.
AI for Public Servants
Topic 1: Understanding AI in Government Context
- Understand how AI is already being used in various Australian government services.
- Identify the unique considerations for AI use in public service.
- Recognise the importance of transparency and accountability in government AI use.
- Understand basic compliance requirements for AI in government settings.
Topic 2: Safe AI Use in Day-to-Day Public Service
- Learn how to use AI tools safely within government guidelines.
- Understand what information generally can and cannot be shared with AI systems.
- Master basic prompt techniques for common public service tasks.
- Identify when to seek approval or guidance for AI use.
Topic 3: Practical Applications and Future Readiness
- Apply AI tools to improve public service delivery.
- Understand how to maintain public trust while using AI.
- Learn best practices for documenting AI use in government work.
- Develop skills for adapting to future AI developments in public service.
AI in Mining & Energy
Topic 1: Understanding AI Applications in Mining and Energy
- Identify current AI applications being used across the mining and energy sectors
Recognise how different types of AI are addressing industry challenges - Understand the basic difference between traditional technology systems and newer AI tools in these industries
- Appreciate the evolving landscape of AI adoption in mining and energy operations
Topic 2: Benefits and Practical Applications of AI
- Understand how AI can enhance safety, efficiency, and sustainability in mining and energy operations
- Recognise real-world examples of AI implementations improving operational outcomes
- Identify how generative AI can assist with data analysis, report generation, and knowledge management with sector-specific examples
- Appreciate how can AI supports decision-making while maintaining human oversight and responsibility
Topic 3: Responsible Use and Future Considerations
- Understand the importance of human responsibility and oversight in AI and autonomous systems
- Identify ethical considerations specific to AI use in resource extraction and energy production
- Recognise the balance between AI automation and maintaining critical human skills in these industries
- Explore emerging trends and future applications of AI in mining and energy contexts
Platform-based Electives
+ Custom Electives Built On-demand
Engaging short-form video delivery
Sample testimonials from our graduates
Tiered Pricing
Individual | $499 |
Team | $349/user |
Business | $299/user |
Enterprise | $249/user |
Enterprise+ | $POA |
Exclusive 20% discount for SACOME Members
Use the button to automatically apply your discount code at checkout (alternatively, simply copy the code from code your SACOME member newsletter).
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