AI Transformation with Microsoft Copilot

Dr. Alfred Ang leads agentic AI adoption and digital transformation initiatives for enterprises, helping organisations move from experimentation to operational AI, and that leadership perspective is what he brings to AI Transformation with Microsoft Copilot. He is Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd and the founder of Tertiary Courses, so he faces the same questions executives do about productivity, risk and return on investment. His Microsoft credentials span the platform: Microsoft Certified AI Engineer Associate (AI-102), Data Scientist (DP-100), Power BI Data Analyst (PL-300) and Power App Maker (PL-100). He is also a certified PMP, Certified ScrumMaster and ITIL practitioner, and holds the Certificate in AI Ethics and Governance (Senior Professional) from NTU, which underpins his emphasis on human controls. Among the 300+ public repositories on his GitHub is AICoaching, a business pitch and six-scenario coaching simulator for redesigning jobs around accountable AI-agent ownership, and workplacelearning, a workplace learning website focused on AI transformation and job redesign. As a full-stack AI developer and Agentic AI solution architect, he builds agents with frameworks such as n8n, CrewAI, Microsoft AutoGen and the Claude Agent SDK, so he understands what sits beneath a Copilot agent. His academic foundation includes 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, with more than 20 peer-reviewed papers and more than 20 co-invented US patents.

This course is designed for executives, senior managers and business leaders, and Dr. Ang teaches it without code or jargon. The first topic puts Microsoft 365 Copilot to work on everyday leadership tasks: drafting documents, summarising email and meetings, analysing data and preparing presentations, so participants experience the gains first-hand. The second focuses on designing safe Copilot workflows with human controls, deciding which steps can be delegated, where review and approval must sit and how sensitive information should be handled. The third has leaders create and test bounded Copilot agents with a clear scope, instructions and knowledge sources, and he uses his own agent-building experience to explain why tight boundaries make agents more reliable and easier to govern. The fourth topic addresses adoption at scale: building the business case, choosing pilot teams, measuring value and scaling what works, where his project management, Scrum and ITIL training and his AI governance certification shape a practical, accountable approach. He draws on his job redesign simulator to help leaders think about how roles change when AI agents take on work, and who remains responsible for the outcome. As an ACTA-certified trainer and DACE-certified curriculum developer, he balances live demonstrations with structured discussion, so participants leave with hands-on Copilot experience, a draft adoption plan and the confidence to lead AI change in their own organisation. To see his AI transformation and agent projects, explore his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

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. As a data science leader, he brings a practical understanding of how AI creates value inside organisations, and he teaches from an applied perspective that focuses on both the opportunities and the risks of emerging technologies. His hands-on work includes predictive models, deep learning solutions and RShiny dashboards, and his professional background spans healthcare, finance and customer analytics. He also holds a Masters in Education from NTU and has eight years of teaching experience.

In AI Transformation with Microsoft Copilot, Dwight helps executives, senior managers and business leaders lead AI adoption with confidence. He covers using Microsoft 365 Copilot for everyday business work, designing safe Copilot workflows with human controls, and creating and testing bounded Copilot agents. The final topic focuses on leading adoption, measuring value and scaling outcomes, where his data science perspective on measuring results is especially useful. His balanced view of AI's opportunities and risks helps leaders redesign workflows safely rather than chase hype. Participants leave with a practical plan to drive measurable business value from Copilot, no technical background required.