AI governance training for Singapore teams.
Help teams use and deploy AI responsibly, with short online modules on risk classification, the AI lifecycle, fairness, explainability, generative AI risks, and human oversight, grounded in Singapore's AI governance frameworks.
No signup. No email. No credit card for the preview modules.
Each module is around ten minutes, scenario-based, with audio. Module 1 is free.
Assign AI governance training across product, risk, and operational teams, track completion, and set shared expectations for AI use.
AI governance training for the people building, buying, and using AI.
AI risk is not confined to data science teams. It appears wherever staff deploy models, adopt generative AI tools, or rely on AI outputs for decisions.
Product and technical teams
Train the people designing, building, and deploying AI systems across the lifecycle.
Risk and compliance teams
Give risk owners a practical baseline for reviewing AI use cases and governance questions.
Operations teams using AI
Support staff who use AI for day-to-day decisions, with practical human-oversight habits.
Founders and SME managers
Help lean teams adopt generative AI tools with clear expectations and guardrails.
AI adoption is moving faster than most internal governance habits.
Teams often adopt AI tools long before formal policies catch up. Practical training helps staff classify risk, question outputs, spot bias, and keep humans meaningfully in the loop, beyond rubber-stamp review.
What the AI governance training covers
Plain-English modules built around Singapore's approach to AI governance, including the IMDA Model AI Governance Framework, the Generative AI framework, and AI Verify.
Welcome to AI governance
What AI governance is, why it matters now, and the Singapore framework.
Risk classification
The first analytic step: risk tiers, high-risk markers, calibration of governance to risk.
The AI lifecycle
Governance at design, development, deployment, monitoring, decommissioning.
Fairness, bias, and discrimination
How bias arises, how to detect it, how to mitigate it, and the Singapore lens.
Explainability and transparency
When, how, and to whom, and the practical techniques.
Generative AI specific risks
Prompt injection, hallucinations, IP, training data, deepfakes: the new attack surface.
Human oversight and override
Keeping humans meaningfully in the loop: beyond rubber-stamp review.
Bringing it together
The AI governance habits, AI Verify in practice, and what comes next.
This is 1 of 10 subjects you get.
There is no per-course pricing. One subscription unlocks the entire library: every subject below, every tier, every update.
Responsible AI training that keeps pace with adoption.
Aurora is built as software: easy to preview, assign, track, and refresh as AI tools, use cases, and internal policies evolve.
Short modules
Focused learning that mixed technical and non-technical teams can complete quickly.
Online rollout
Assign AI governance training across teams without classroom scheduling or repeated workshops.
Completion records
Track progress, completions, and certificate evidence for internal follow-up and reporting.
Refreshable content
Update training as AI tools, internal policies, or governance expectations change.
Try one full module instantly.
Preview module 1 of the AI Governance base course without signup, email, or credit card. It is the same short, scenario-based format your team would use. A subscription unlocks all ten subjects.
- What AI governance is and the Singapore framework
- Risk classification: tiers, markers, and calibration
- Governance across the AI lifecycle
Use AI governance training before the next tool rollout, use-case review, or policy update.
The same course can support generative AI adoption, product team onboarding, risk upskilling, and responsible AI policy rollout.
Questions before team rollout
Short answers for DPOs, HR teams, founders, and compliance managers considering online training.
Who should take AI governance training?
Product, technical, risk, and compliance teams, plus operational staff who use AI for decisions and any team adopting generative AI tools.
Is this course technical?
No. It is designed for mixed audiences. Technical teams get lifecycle and risk-classification grounding, while non-technical staff learn practical oversight and generative AI habits.
Which frameworks does the course reference?
The course is grounded in Singapore's approach to AI governance, including the IMDA Model AI Governance Framework, the Generative AI framework, and AI Verify.
Does this replace an AI governance programme?
No. It supports staff awareness and should sit alongside your own policies, review processes, technical controls, and professional advice where needed.
Is Aurora Compliance Technologies a law firm?
No. Aurora is a compliance training software platform. The content is prepared with Singapore legal/compliance input, but the platform does not provide legal advice.
Do we have to buy each course separately?
No. There is no per-course pricing. One subscription includes the entire library: all ten subjects, plus specialist and industry modules, with content updates included.
Help your team use AI with judgement, not just enthusiasm.
Start with the free preview, then decide whether to roll out team access, completion tracking, and certificates.
Ready to roll it out? One subscription covers all ten subjects, from S$990 a year for up to 15 seats.