Modular Curriculum
PMA course catalogue
Eight focused modules that can be taken individually or combined into programme tracks. Each course carries a unique PMA code for registration and certification records.
| Code | Course Title | Duration | Format | Focus |
|---|---|---|---|---|
| PMA-101 | AI Landscape & Strategic Context | 1 day | In-person | Foundational orientation for leaders assessing AI relevance to their sector |
| PMA-204 | ROI Modelling for AI Investments | 2 days | Hybrid | Financial framing, cost-benefit analysis, and business case construction |
| PMA-310 | Workflow Automation Assessment | 1.5 days | In-person | Identifying automation candidates and sequencing pilot projects |
| PMA-415 | AI Governance & PDPA Alignment | 2 days | In-person | Policy design, consent frameworks, and regulatory compliance essentials |
| PMA-522 | Change Leadership for AI Adoption | 1 day | Hybrid | Stakeholder management, communication plans, and resistance mitigation |
| PMA-638 | Vendor Evaluation & Procurement | 1 day | In-person | RFP design, due diligence checklists, and contract considerations |
| PMA-741 | Founder's AI Product Strategy | 2 days | Cohort | Product differentiation, unit economics, and investor-ready narratives |
| PMA-856 | Ethics, Bias & Accountability | 1.5 days | In-person | Algorithmic fairness, documentation standards, and audit preparation |
Course combinations
Individual PMA modules stack into our broader programmes. For example, PMA-101 and PMA-204 form the core of the Executive Briefing, while PMA-415 and PMA-856 anchor the Governance & Ethics track. Contact us for personalised module recommendations.
Discuss Course Selection
Learning Environment
Editorial studio sessions
Courses are delivered in our Orchard Road studio — a quiet, editorial-inspired space designed for focused discussion rather than lecture-hall passivity. Materials are provided in print and digital formats.
Corporate groups may request on-site delivery at their premises, subject to facilitator availability and minimum enrolment thresholds.
AI Disclaimer: Course content reflects educational frameworks current at time of delivery. Participants should independently verify tool capabilities and regulatory requirements before implementation.
Income Disclaimer: Course completion certificates attest to participation in educational modules. They do not constitute professional accreditation or assure career or financial outcomes.