Course Details
Course Details
What You'll Learn
Topic 1: Use Microsoft 365 Copilot for everyday business work
Topic 2: Design safe Copilot Workflows and human controls
Topic 3: Create and test bounded Copilot agents
Topic 4: Lead adoption, measure value and scale outcomes
Assessment
- Written Exam
- Practical Exam
Course Info
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Minimum Software/Hardware Requirement
Software:
You will need the following for this course:
- Microsoft 365 Copilot – a training account will be provided
Hardware: Windows PC or Mac laptop
Funding Eligibility Criteria
Self-sponsored learners (individuals)
- Singapore Citizens and Singapore Permanent Residents aged 21 and above.
- Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).
- Singapore Citizens aged 25 and above can pay the remaining fee with SkillsFuture Credit.
Company-sponsored learners
- Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
- Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
- Employers can also claim Absentee Payroll funding for employees who attend during working hours.
- Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).
Conditions for all funded learners
- Attendance is taken digitally with Singpass for every session, including the assessment.
- You must complete the course and pass all assessments (assessed as Competent).
- If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
- 9% GST is charged on the full course fee before funding.
- Promo and discount codes cannot be used on funded courses.
- Any balance after funding can be paid in cash, with SkillsFuture Credit, with PSEA (Singapore Citizens with a PSEA).
How to Apply SkillsFuture Credit Claim for Individuals
Singapore Citizens aged 25 and above can use their SkillsFuture Credit (base tier) to pay the course fee after funding. The $4,000 mid-career top-up cannot be used for this course.
- Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
- We email you an invoice showing the course fee after funding.
- From 60 days before the course starts, and no later than the course start date, log in to MySkillsFuture with Singpass and click Claim credits.
- Click Submit a Claim and search for this course by its course code, TGS-2024044051.
- Select your class start date, enter the course fee payable after funding and the amount of credit to claim, then upload the invoice (PDF, JPG or PNG, under 4MB).
- Review, accept the terms and click Agree and Submit. The credit is paid directly to us; processing can take up to 14 working days.
Changing or withdrawing: cancel the claim on MySkillsFuture at least one day before the course starts. If your class date changes, cancel the claim and submit a new one with the new date.
How to Apply SkillsFuture Enterprise Credit (SFEC)
SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.
Current SFEC: classes ending on or before 30 November 2026
- Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
- SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.
- Check your company's SFEC eligibility and balance on EnterpriseSG.
- Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
- Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
- No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.
Any unused balance of the current SFEC expires on 30 November 2026.
Redesigned SFEC from 1 December 2026
Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.
How to Apply PSEA
Singapore Citizens with a Post-Secondary Education Account (PSEA), which stays open until around the year you turn 31, can use it to pay the course fee after funding for PSEA-approved courses. You can also use a sibling's PSEA after your own has been used up.
- Check that this course shows the PSEA tag on its MySkillsFuture page.
- Check your PSEA balance on MOE's Student Finance System with Singpass.
- Download and complete the PSEA withdrawal form, then submit it to us.
- We submit the withdrawal request to MOE. You (and your sibling, if you are using their account) authorise it in the Student Finance System. Nothing is withdrawn without this authorisation.
- MOE pays us directly. If you have already paid, we refund the amount covered by PSEA.
More details: MOE PSEA overview.
Appeal Process
If you disagree with an assessment decision, you have the right to appeal.
- When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
- Discuss the decision with the assessor or the assessment manager first.
- If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
- Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
- An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
- You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.
Job Roles
Job Roles
- Microsoft 365 Copilot User
- Team Collaboration Lead
- IT Project Manager
- Technology Integration Specialist
- Business Continuity Planner
- Disaster Recovery Coordinator
- IT Risk Manager
- Systems Integration Analyst
- Digital Workplace Specialist
- Corporate Communications Specialist
- Business Operations Executive
- Productivity and Automation Champion
- IT Service Delivery Manager
- Knowledge Management Executive
- Technical Operations Officer
- Information Systems Manager
- Project Coordinator
- Meeting and Programme Coordinator
- Operations Project Consultant
- Administrative and Executive Support Professional
Trainers
Trainers
Kesston Tang brings a leadership and advisory perspective to AI adoption. An ACTA-certified trainer, he has more than two decades of experience in the ICT and supply chain sectors, including warehouse management, and has delivered multi-million-dollar ICT projects for multinational corporations and government agencies. He is a consultant in business negotiation, financial analysis and corporate advisory, and is currently pursuing a Doctor of Business Administration and a Master in Education. His certifications cover project management (PMP), IT service management (ITIL), enterprise architecture (TOGAF) and the Microsoft platform (Microsoft Certified Solutions Associate, MCSA), as well as cyber security through CEH, CHFI and EC-Council Certified SOC Analyst (CSA). That background equips him to discuss AI adoption in terms of value, risk and governance rather than features alone. He speaks the language of senior management as comfortably as that of IT teams.
AI Transformation with Microsoft Copilot is a three-day WSQ course for executives and senior managers, and Kesston frames it as a business change rather than a technology project. Learners use Microsoft 365 Copilot in everyday business work across Copilot Chat, Word, PowerPoint, Excel, Outlook and Teams, turning a service case into sourced briefs, analysis and leadership messages. They then design safe Copilot Workflows with clear triggers, approvals, exception paths and human controls, and create and test bounded Copilot agents. The final topic focuses on leading adoption, measuring value and scaling outcomes, where his PMP, TOGAF and corporate advisory experience helps leaders plan pilots, define success measures and govern risk. Throughout, he reinforces keeping a human owner for consequential decisions. Learners also test their workflows and agents against normal and exceptional cases, so they see where human review remains essential. Leaders leave with a practical roadmap for introducing Copilot responsibly and demonstrating measurable value to their organisation.
Dr. Alfred Ang brings a builder's view of Microsoft's AI stack to this executive programme. He holds Microsoft Certified AI Engineer Associate (AI-102), Power App Maker (PL-100), Power BI Data Analyst (PL-300) and Data Scientist (DP-100), and he works with Microsoft AutoGen alongside other agent frameworks such as OpenAI Agents SDK, Claude Agent SDK and CrewAI. As founder of Tertiary Courses and Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd, he leads agentic AI adoption and digital transformation initiatives that help organisations move from experimentation to operational AI, automating customer service, internal workflows, analytics and decision support. He is also a certified PMP, CSM and ITIL practitioner and holds a Certificate in AI Ethics and Governance (Senior Professional) from NTU, which shapes his focus on accountability and human oversight. His public GitHub work demonstrates the control patterns this course stresses: n8n-hrportal is a self-service HR portal with human-in-the-loop manager approval and an HR chatbot guarded by input and output guardrails, and kacificerpr is an ERP prototype with purchase orders routed through human-in-the-loop approvals and three-way-matched invoices. He also built microsoftredeemcode, a tool for searching Microsoft Learn courses, and his certifications include AWS Certified Solutions Architect and AI Practitioner. He holds a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU and a B.Sc (Hons) in Physics from NUS, and is an ACTA-certified trainer and DACE-certified curriculum developer.
As part of the training team for WSQ - AI Transformation with Microsoft Copilot, Dr. Ang helps executives and senior managers use Microsoft 365 Copilot to make better decisions while keeping the right people accountable. The first topic applies Copilot to everyday business work across Copilot Chat, Word, PowerPoint, Excel, Outlook and Teams, turning a synthetic service case into sourced briefs, analysis, meeting actions and leadership messages, with every claim checked before it is used. The second topic designs safe Copilot Workflows: describing a repeatable service process, mapping its trigger, steps, approval and exception path, and testing both normal and exception cases. The third topic creates and tests a bounded Copilot agent with a clear purpose and limits, and the fourth covers leading adoption, measuring value and scaling outcomes across a team. He contributes the perspective of someone who has designed approval steps, exception handling and guardrails into agent systems himself, so he can explain why a human owner is needed for consequential decisions and how a workflow should behave when something unexpected arrives. His project management and ITIL background informs the discussion of rollout, measurement and change management. The sessions are practical and no-code, built around realistic business scenarios that participants can relate to their own organisations, and leaders leave with a tested workflow, a working agent and a plan for measuring value. To see the agent and workflow projects he has built, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/
Bernard Peh is an IT leader, principal trainer and systems engineer with more than two decades of experience in enterprise IT, cybersecurity and infrastructure management. A WSQ Advanced Certificate in Learning and Performance (ACLP) holder and Microsoft-certified professional, he has delivered advanced technical courses across networking, cloud and collaboration, and has managed Microsoft 365 deployments, implemented security frameworks and led IT modernisation initiatives. He is also a data scientist, serving as Senior Partner and Lead Data Scientist at Big Data Venture Capital, with hands-on expertise in Python, Power BI, data analytics and automated reporting.
WSQ - AI Transformation with Microsoft Copilot calls on both sides of this experience. Bernard guides learners in using Microsoft 365 Copilot for everyday business work, designing safe Copilot workflows with appropriate human controls, and creating and testing bounded Copilot agents. The course then moves to leading adoption, measuring value and scaling outcomes, where his background in Microsoft 365 rollouts and data-driven reporting helps participants build an investment case and report results to leadership. Learners leave equipped to reduce administrative work, improve cross-department collaboration and keep AI use compliant and secure as adoption grows.
Sanjiv Venkatram is an IT and business transformation consultant with expertise in enterprise collaboration, digital workplace deployment and Microsoft 365 integration. A certified Microsoft 365 administrator and corporate trainer, he has implemented Teams, SharePoint and Exchange solutions for multinational corporations across Asia and led digital adoption and governance projects. He is CEO of Prudentia Consulting and ACTA-certified, and his career includes roles at Microsoft across the US and APAC, Cognizant, Yazaki North America and Oracle, along with business intelligence and data analytics projects delivered at scale.
In this course, Sanjiv brings a strategic perspective to AI transformation with Microsoft Copilot. Learners use Microsoft 365 Copilot for everyday business work, design safe Copilot workflows with appropriate human controls, and create and test bounded Copilot agents. The final topic focuses on leading adoption, measuring value and scaling outcomes, where his experience of digital adoption and governance projects is especially relevant. Through a balance of hands-on practice and real workplace scenarios, he helps learners build the skills to plan, roll out and govern Copilot solutions effectively, and to demonstrate the value of that investment in measurable terms.
Alec Tan is an IT trainer and systems engineer whose career spans IT technical support, system integration and IT training. He holds CompTIA A+, Network+ and Server+ certifications and is WSQ ACLP-certified. His roles include Network Systems Engineer at McKinn International and freelance IT trainer at Nexus Academy, where he taught Office 365, Big Data, Artificial Intelligence and CompTIA certification programmes, and his strengths include Microsoft Windows Server and IT infrastructure management. He is also a network and systems architect, certified in CCNP, CompTIA Security+ and as a Microsoft 365 administrator, who has led enterprise migration and collaboration projects across finance, education and the public sector.
In WSQ - AI Transformation with Microsoft Copilot, Alec helps executives and senior managers use Copilot in everyday decision work across Microsoft 365. Learners use Microsoft 365 Copilot for daily business tasks, design safe Copilot Workflows with human controls, create and test bounded Copilot agents, and learn to lead adoption, measure value and scale outcomes. His training emphasises evaluating business value, human oversight and verifying AI output before recommendations reach decision makers. Drawing on his consulting experience with Microsoft technologies, he helps participants build the confidence to make better decisions, hand off work safely and scale Copilot across their organisations.
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