WSQ Digital Transformation (SF) (Synchronous and Asynchronous E-Learning)
About This Course
This module is strategically designed to empower learners with the knowledge, skills, and abilities to lead AI-First Enterprise Transformations in the rapidly evolving digital landscape. The curriculum takes participants on a comprehensive journey from understanding the fundamental shifts in the world of work to implementing complete digital transformation roadmaps using Agentic AI and low-code platforms.
Participants will begin by exploring how AI agents are reinventing business models and work processes, progressing through digital maturity assessment frameworks, and advancing to the design and implementation of AI-powered self-service digitalization strategies. The module emphasizes practical application through the CLaaS2SaaS (Competency Learning as a Service to Software as a Service) framework, enabling learners to understand real-world enterprise transformation scenarios.
The curriculum covers the critical digital transformation domains formulated by IMDA/BCG. Through a blend of knowledge sessions, hands-on case studies, client-based assignments, and supplementary readings from industry leaders, learners will develop the competencies to architect and execute comprehensive digital transformation strategies.
By the end of this module, participants will be equipped to assess organizational digital maturity, design AI-first transformation roadmaps, implement agentic workplace platforms, develop adaptive learning frameworks, and lead the digitalization of core business functions including marketing, sales, operations, and shared services. This module prepares leaders to drive measurable business outcomes through strategic technology adoption and human-agent collaboration.
What You'll Learn
This course comprises of following Instructional Units
1. Digital Transformation & Technology Road-mapping
2. Harnessing AI Agent to Reinvent Business & Work
3. Changing Way of Working
4. Digitize the Product
5. Digitalize the Core
6. Integrate Ecosystems
Learning Outcomes -Knowledge
1. Explain the IMDA/BCG Digital Transformation Framework and apply the Enterprise Digital Maturity Assessment to evaluate AI-readiness.
2. Identify agentic AI principles, the evolving world of work, and criteria for selecting enterprise AI agent platforms.
3. Describe human-agent collaboration models and adaptive learning frameworks for building an AI-native workforce.
4. Summarize the Disruptive Product Innovation Framework — Lean Canvas, Ten Types of Innovation, and First Principles Thinking.
5. Discuss intelligent automation strategies for digitalising employee, customer, back-office, and supplier operations.
6. Outline the platform revolution model for building inclusive digital workforce ecosystems across ASEAN.
Learning Outcomes -Skills
1. Conduct digital maturity assessments using the IMDA/BCG framework and build prioritised transformation roadmaps.
2. Apply agentic AI frameworks to design self-service intelligence and agile innovation centres of excellence.
3. Design citizen workforce and adaptive learning strategies for skills-first, work-integrated agentic workforce development.
4. Develop disruptive innovation strategies using Lean Canvas, Ten Types of Innovation, and First Principles Thinking.
5. Create intelligent automation strategies and product briefs for operations, finance, and sales & marketing.
6. Formulate platform business strategies for inclusive workforce ecosystems and scalable Pan-ASEAN AI automation.
Entry Requirements
Academic Qualification: Minimum 1 credit in N Level or its equivalent
English Proficiency - IELTS 5.5 or its equivalent