Professional Training · Generative AI & Agentic AI Track
AI Governance & Responsible Deployment
Learn to govern AI systems across their lifecycle — from model risk assessment through to monitoring deployed agents in production. The course covers the governance frameworks, controls and documentation enterprises and regulators expect from AI initiatives.
Authorised Instructors
Eric Tai
Head, Technology
- Security – Specialty
- DevOps Engineer – Professional
- Solutions Architect – Professional
- CloudOps Engineer – Associate
- +4 more
Hui Liang
Chief Digital Officer
- Security – Specialty
- Generative AI Developer – Professional
- Solutions Architect – Professional
- CloudOps Engineer – Associate
- +5 more
Any of these AWS Authorised Instructors may deliver this class, depending on the scheduled run. Trainers confirmed on enrolment.
Who Should Attend
- Risk & Compliance Officers: Staff assessing AI initiatives against regulatory and internal policy.
- IT Governance Leads: Leads establishing AI review and approval processes.
- Solutions Architects: Architects embedding governance controls into AI system design.
- Data Protection Officers: Officers assessing data handling in AI pipelines.
- Programme Managers: Managers coordinating AI governance across business units.
Prerequisites
This is an intermediate course. To attend, you should have:
A general understanding of how your organisation uses or plans to use AI.
Familiarity with basic data protection or risk-management concepts.
No programming experience required.
Learning Objectives
In this course, you will learn to:
Assess AI risk: Classify AI use cases by risk and required oversight.
Apply governance frameworks: Map controls to recognised AI governance standards.
Document decisions: Maintain the audit trail regulators and auditors expect.
Monitor deployed systems: Track drift, bias and incidents in production AI.
Coordinate stakeholders: Align legal, security and business teams on AI approval.
Certification
This course does not map to a vendor certification exam. It equips governance and risk teams to oversee AI initiatives with confidence. Every participant receives a My Code Campus certificate of completion.
In-person in Kuala Lumpur or live virtual. Team & enterprise rates available.
