WSQ - Microsoft Copilot for HR

Dr. Alfred Ang has spent a great deal of his recent engineering effort building AI tools for human resources, which gives this course an unusually practical edge. He is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd. His Microsoft certifications include AI Engineer Associate (AI-102), Power App Maker (PL-100), Power BI Data Analyst (PL-300) and Data Scientist (DP-100), and he holds a PhD in Electrical Engineering from NUS, PMP and a Certificate in AI Ethics and Governance (Senior Professional) from NTU. His public GitHub portfolio of 300+ repositories includes an HR and accounting platform with role-based access, leave accrual, clock-in attendance and payroll, together with companion native iOS and Android apps for leave, payslips, expenses and in-app approvals; an HR recruitment tool that generates candidate-tailored interview questions, analyses CV-to-job-description fit and prints an interview guide; an AI interview practice simulator in which an AI hiring manager scores candidates against role-specific rubrics; and an n8n self-service HR portal with human-in-the-loop leave approval and a guard-railed HR chatbot. These map closely onto the recruitment, interviewing and HR workflow topics covered in this course. He is also an ACTA-certified trainer and DACE-certified curriculum developer, and as Managing Director he leads the organisation whose own HR platform he built, giving him a practical understanding of the day-to-day workload faced by HR teams.

In this WSQ course, Dr. Ang shows HR professionals how to use Microsoft Copilot 365, SharePoint, AI agents and Copilot Studio across the employee lifecycle. Learners begin with recruitment and interviewing: reviewing candidate information stored in SharePoint, matching candidates to job requirements, developing screening criteria, generating role-specific interview questions and building interview rubrics, tasks he has automated in his own tools. They then use Copilot for onboarding and HR policy management, followed by talent development, leave and employee benefits. The final topic uses Copilot Studio to automate HR workflows and handle employee offboarding. He connects each activity to the realities of HR work, explaining where AI saves time and where human judgement must lead, especially in hiring decisions, and he highlights fairness, bias, confidentiality and personal data protection throughout. His teaching style is demonstration-led and hands-on, using realistic HR scenarios so participants build prompts, agents and workflows they can take straight back to their organisations. Learners leave with a toolkit that reduces administrative load and frees time for people-focused work. He also explains how to organise HR documents in SharePoint so that Copilot and agents can find accurate, up-to-date information, and how to control access so that confidential employee records stay protected. Group exercises allow participants to compare approaches across different organisations and to plan how they would roll out these tools in their own HR teams. To see the HR and recruitment tools 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/

Tan Woei Ming is a data scientist and AI engineer with over 15 years of experience in artificial intelligence, machine learning, automation and enterprise analytics. He has spearheaded data-driven projects in AI optimisation and process automation, and his technical expertise extends to deploying TensorFlow, PyTorch and Spark-based systems that support intelligent decision-making and operational efficiency. He holds a Master's in Intelligent Systems from the National University of Singapore and a First-Class Honours degree in Electrical and Electronic Engineering from Nanyang Technological University, and focuses on translating complex AI technologies into practical business applications.

In WSQ - Microsoft Copilot for HR, Woei Ming applies his automation and AI background to people processes. Learners use Copilot and AI agents for recruitment and interviewing, employee onboarding and HR policy management, talent development, leave and benefits, and then build Copilot Studio workflows that automate HR tasks through to offboarding. He emphasises grounding agents in an organisation's own data and checking their outputs, so HR teams can rely on them for policy enquiries and workforce insights. Participants leave able to identify where Copilot saves time in HR work and to build practical, well-controlled automations.

Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in data analytics, machine learning and AI applications. He has hands-on experience developing predictive models, RShiny dashboards and deep learning solutions using R, Python, TensorFlow and Keras, and a professional background in healthcare, finance and customer analytics. Dwight teaches AI from an applied angle, focusing on both the opportunities and the risks of emerging technologies. He holds a Masters in Education from NTU and has eight years of teaching experience in international schools in Singapore and overseas.

For WSQ Microsoft Copilot for HR, Dwight brings his applied AI and analytics background to the employee lifecycle. He guides participants in using Microsoft Copilot and AI agents for recruitment, candidate screening and interviewing, then for onboarding, HR policy management, talent development, leave and employee benefits. Learners also explore Microsoft Copilot Studio to automate HR workflows, including offboarding. Reflecting his attention to AI risk, Dwight encourages careful handling of employee data and human review of AI recommendations. HR practitioners leave with practical skills to streamline routine HR work with Copilot while keeping fairness, accuracy and confidentiality front of mind.

Teh Siew Yee is a senior analytics leader and transformation consultant with more than two decades of experience in global organisations, including TikTok, Hewlett-Packard and Standard Chartered Bank. Siew Yee has led initiatives in AI governance, business intelligence and data management, helping enterprises improve efficiency and strategic decision-making. Siew Yee holds a Master of IT in Business (Artificial Intelligence) from Singapore Management University and is an ACLP-certified adult educator with a background in business communication, workplace effectiveness and professional development, well known for translating complex AI concepts into actionable strategies.

In Microsoft Copilot for HR, Siew Yee brings this mix of AI governance and people-development experience to the full employee lifecycle. Learners use Microsoft 365 Copilot and AI agents to support recruitment and interviewing, streamline onboarding and HR policy management, and handle talent development, leave and employee benefits more efficiently. The course closes with Microsoft Copilot Studio, where learners automate HR workflows such as employee offboarding. Siew Yee places particular emphasis on responsible AI, data privacy, access controls and human oversight, so HR professionals can adopt Copilot confidently while protecting sensitive employee information and keeping people at the centre of every decision.