About Course
AI agents can now call tools, access data, interact with systems and take multi-step actions with limited human intervention. This changes the risk, control and governance landscape for organisations, creating new requirements around agent autonomy, data exposure, third-party AI solutions, escalation, rollback and incident response. Existing application security, model risk and control frameworks may not fully address these emerging risks.
This course addresses that gap for risk, assurance, compliance, cybersecurity, technology governance and internal audit professionals who are responsible for assessing and governing agentic AI deployments. It is particularly relevant to regulated and data-intensive sectors where existing control frameworks need to be extended to account for autonomous AI agents. The course assumes no coding, AI engineering or data science background.
Over two days, learners work through how to identify agent-specific risks, assess controls across preventive, detective and corrective measures, and map these risks into practical risk registers that can be adapted for workplace use. They examine how agentic AI changes existing approaches to security, data governance, vendor risk, operational controls and assurance, and how organisations can establish appropriate governance as agents take on more autonomous roles.
The course opens with a practical grounding in how agentic AI systems operate, including how agents call tools, access data and interact with other systems, so that risk and control decisions rest on an accurate understanding of the technology. It closes with a facilitated tabletop simulation of an agentic AI incident, where learners practise escalation, containment, rollback, control remediation and lessons-learned reporting.
Delivery is classroom-based, built around scenario discussion, worked examples, practical risk assessment activities and an applied incident-response tabletop simulation.
Skills you’ll gain
Artificial Intelligence
Cybersecurity
Data Protection
Who Should Attend
This course is suitable for:
Executives, managers and team leads in risk, assurance, internal audit and compliance
Cybersecurity, technology governance, vendor risk and data governance professionals
AI governance professionals responsible for reviewing and assessing agentic AI systems
Applicable across regulated and data-intensive sectors adopting agentic AI
Minimum Entry Requirements
- At least 1–2 years of experience in risk management, assurance, compliance, cybersecurity, technology governance, internal audit, data governance, vendor management, or related functions
- Prior coding experience is not required
Basic familiarity with generative AI concepts and organisational risk or control frameworks
*This course is not intended for participants seeking hands-on AI model development or software engineering training
The Agentic AI Series
This course is part of a collection of Agentic AI courses curated by SITLEARN, spanning finance, legal, human resources, marketing, operations, and risk and security. Each course imparts agentic AI foundations customised to the specific function. View the full collection here.
Learning Outcomes
By the end of this course, learners will be able to:
- Distinguish agentic risk from conventional application and model risk across autonomous AI deployments
- Assess model and data security exposure specific to agentic AI deployments
- Apply least-privilege design principles to agent tool permissions and access
- Evaluate third-party and vendor AI risk using a structured due diligence approach
- Map agentic AI risks to preventive, detective and corrective controls across the control environment
- Build or update risk register entries for agentic AI initiatives
- Respond to agentic AI incidents using structured escalation and containment processes
- Distinguish containment and rollback options specific to autonomous AI systems
- Translate incident learnings into remediated controls to strengthen agentic AI governance
Teaching Team
Ian Loe Wai Yew
Trainer
View profile
Course Details
Schedule
| Course Run | Dates | Time |
|---|---|---|
| January 2027 | 11 - 12 Jan 2027 | 9:00 am – 6:00 pm |
| March 2027 | 2 - 3 Mar 2027 | 9:00 am – 6:00 pm |
Day 1
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Day 2
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Certificate and Assessment
A Certificate of Attainment will be issued to participants who:
- Attend at least 75% of the course
- Undertake and pass non-credit bearing assessment during the course
Participants who meet the attendance requirement but do not pass the assessment will receive a Certificate of Participation.
Mode of Assessment: Oral Questioning (30 minutes)
Fee Structure
The full fee for this course is S$2,507.00.
| Funding Category | Eligible Funding | Course Fees Payable After Funding |
|---|---|---|
| Singapore Citizen (Below 40) | 70% | S$752.10 |
| Singapore Citizen (40 & Above) | 90% | S$292.10 |
| Singapore PR / LTVP+ Holder | 70% | S$752.10 |
| Non-Singapore Citizen | Not Eligible | S$2,507.00 |
Note: All fees above include GST. GST applies to individuals and Singapore-registered companies.
For Organisations
Interested in this course for your business or team?
Tailored to your organisation's specific training needs, we can help you design and develop custom courses to grow key talent and build specialist expertise to meet the future demands of work.
Course Runs
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