Maximise AI opportunities, minimise AI risks
The AI revolution is transforming business operations – however, use of AI tools without guidelines and training is creating significant risks for companies and employees. RAIL Certification provides essential AI skills training to leverage the many benefits while protecting your business and teams from associated risks.
- Learn AI data security essentials, so you can use AI tools while safeguarding business-critical information and customer data
- Develop prompt engineering expertise, so you can get maximum value from both third-party AI platforms and any proprietary AI solutions you implement
- Understand AI ethics and compliance, so you can capture the daily benefits whilst maintaining appropriate corporate governance standards
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Comprehensive AI Training for Individuals & Teams
Proven Content
Detailed curriculum built by experts, covering foundational topics, industry- and role-based electives, and popular gen AI platforms.
Risk Protection
Our AI training helps organisations avoid security risks and compliance issues associated with untrained AI use, from data handling practices to platform selection.
Workplace-Focused Training
Learn AI skills relevant to your industry, with emphasis on get-started-now daily applications, as well as security and ethical considerations.
Team-Wide Solutions
Consistent training ensures all staff members understand AI risks and best practices for their roles. Teams are managed from central dashboard showing engagement, completion rates, and test scores.
Sample course material
About the course
RAIL Certification online allows self-paced learning via video delivery with supporting text and assessments:
- 6-8 hours of learning (3 topic videos per module)
- Complete 4 core and 2 elective modules to attain RAIL certification
- All material regularly reviewed and updated as AI technology and guidelines evolve.
Core AI 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.
Role-based Electives
AI for Sales
Topic 5.1: The AI Revolution in Sales
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Topic 5.2: AI-Enhanced Sales Communication
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Topic 5.3: AI Sales & Revenue Platforms
- bullet
AI for Teaching
Topic 8.1: Understanding and Using AI Tools in Teaching
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Topic 8.2: Creating an AI-Aware Classroom
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Topic 8.3: AI Assessment and Academic Integrity
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AI for Marketing
Topic 6.1: Understanding AI’s Impact on Marketing
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Topic 6.2: Leveraging Generative AI for Marketing Tasks
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Topic 6.3: Exploring AI-Powered Marketing Platforms
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AI for Office Administration
Topic 7.1 The Changing Landscape of Office Administration
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Topic 7.2: Mastering Written Communication with Generative AI
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Topic 7.3: Administrative Task Enhancement with AI
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Platform-based Electives
Sample Testimonials from Graduates
Discounted pricing for teams
Individual | $499 |
Duo | $749 |
Team | $349/user |
Business | $299/user |
Enterprise | $249/user |
Enterprise+ | $POA |
Detailed Team Management
Track Progress
Monitor team completion rates and understanding via module-by-module assessments.
Identify Change Agents
Find those most likely to assist in wider rollout of AI-related initiatives across your department.
Manage Compliance
Blockchain-issued credential allows you to reliably demonstrate and confirm RAIL Certification.
