| Event Profile | |
| Class/ Online | Classroom |
| Date | 16 June 2026 |
| Time | 9am to 5pm |
| Venue | Holiday Inn Atrium Singapore (Halal Certified) 317 Outram Road Singapore 169075 |
| Fee | 9% GST will apply SGD 550.003 & above: SGD530.00 each For Member SGD 522.5 3 & above: SGD503.5 each |
| Note | Two tea breaks and buffet lunch will be served. Limited complimentary car parking coupons are available upon request. |
| Other Date(s) | 1) 16 Mar 2026 2) 16 Sep 2026 3) 16 Dec 2026 |
| Trainer | |
| Activity | |
| You may reach us via T: 6204 6214 E: info@ccisg.com Alternatively, you may send below details to register Contact Person Company (optional), Name, Job Title, Mailing Address, Tel, Email Participant(s) Name, Job Title, Email | |
with AI tools and are now ready to advance into agentic AI automation. It focuses on developing and deploying AI agents that can reason, act, and orchestrate workflows beyond simple chatbot interactions. Learners will work with Copilot Studio and supporting integrations to build autonomous agents capable of handling multi-step tasks, decision-making, and API-driven actions in real-world business contexts.
Through guided labs and case-driven exercises, participants will explore advanced prompt engineering, dynamic variables, adaptive workflows, and integration with external knowledge bases. They will also learn how to test, refine, and scale their agents for operational use.
By the end of this course, learners will be able to design agentic AI systems that streamline operations, provide intelligent assistance, and automate business processes at scale.
Pre-Requisites
Through guided labs and case-driven exercises, participants will explore advanced prompt engineering, dynamic variables, adaptive workflows, and integration with external knowledge bases. They will also learn how to test, refine, and scale their agents for operational use.
By the end of this course, learners will be able to design agentic AI systems that streamline operations, provide intelligent assistance, and automate business processes at scale.
Pre-Requisites
- Each participant must bring a laptop with licensed access to Microsoft Copilot Studio.
- Basic familiarity with AI tools, copilots, or chatbots (e.g., Copilot Studio, ChatGPT, or equivalent).
- Understanding of business workflows and how processes can be automated.
- Comfort with intermediate-level digital tools (Excel, Power BI, or CRM systems).
- No coding background required, but prior exposure to APIs, connectors, or integration platforms is advantageous
Objective
- Analyze and optimize agent workflows using adaptive prompts, context, and reasoning.
- Build autonomous copilots that execute multi-step actions and integrate with APIs.
- Apply Copilot Studio for complex business use cases, going beyond FAQ and simple task automation.
- Incorporate external knowledge sources, connectors, and dynamic decision rules.
- Test, refine, and deploy agentic copilots for robust real-time workflow automation.
Outline
Module 1: Foundations of Agentic Copilot Studio
Module 2: Developing and Deploying Agentic Chatbots
Module 3: Agentic AI in Business Operations
- Advanced navigation and workflow-oriented Copilot Studio design
- Designing adaptive prompts and handling multi-intent conversations
- Leveraging topics, variables, and entities for dynamic agent behavior
- Building your first multi-step agentic flow
Module 2: Developing and Deploying Agentic Chatbots
- Designing trigger strategies for intermediate and advanced use cases
- Knowledge integration with dynamic content and external connectors
- Connecting copilots to APIs and automation workflows
- Testing, debugging, and monitoring agent performance
Module 3: Agentic AI in Business Operations
- Building predictive alert systems and exception handling flows
- Managing advanced system topics for cross-department scenarios
- Previewing, sharing, and deploying scalable agentic copilots
Who should attend
- Business Operations Managers: Professionals who want to scale automation beyond repetitive tasks into decision-support and process orchestration.
- HR, Training & Support Leaders: Teams that need intelligent copilots for workforce engagement, employee self-service, and compliance automation.
- Cross-Functional Business Teams: Professionals who already use AI in daily work and want to advance into workflow-centric automation.
- Administrators and Technical Champions: Staff tasked with piloting and deploying AI copilots across their organizations.
Methodology
Experiential Learning Approach, Demonstrations & Guided Hands-On Exercises
Dwight Nuwan Fonseka's Profile
Head Data Analyst | Data Governance & AI | CAIP | CDSP | ACLP
Dwight Fonseka is a seasoned data analytics professional with over a decade of experience in big data, predictive modeling, and AI. Holding a Master’s in Education (NTU), a degree in Biotechnology (NUS). He is a Certified AI Practitioner (CAIP), Certified Data Science Practitioner (CDSP), and ACLP-certified trainer with extensive experience delivering data-driven insights and practical applications across industries.
Dwight has held roles such as Senior Data Analyst and Data Governance Officer at Plano Pte Ltd, specializing in healthcare analytics and machine learning. As an adjunct trainer, he delivers practical courses in data visualization, data storytelling, deep learning, and AI business models, using tools like R, Python, Tableau, and RapidMiner.
Notable Topics Trained:
Dwight Fonseka is a seasoned data analytics professional with over a decade of experience in big data, predictive modeling, and AI. Holding a Master’s in Education (NTU), a degree in Biotechnology (NUS). He is a Certified AI Practitioner (CAIP), Certified Data Science Practitioner (CDSP), and ACLP-certified trainer with extensive experience delivering data-driven insights and practical applications across industries.
Dwight has held roles such as Senior Data Analyst and Data Governance Officer at Plano Pte Ltd, specializing in healthcare analytics and machine learning. As an adjunct trainer, he delivers practical courses in data visualization, data storytelling, deep learning, and AI business models, using tools like R, Python, Tableau, and RapidMiner.
Notable Topics Trained:
- Data Analytics & Visualization (R, Tableau, Excel)
- Machine & Deep Learning (RapidMiner, DeepCognition)
- Data Governance & AI Business Models
- Predictive Analytics & Data-Driven Decision-Making
Victor Tan's Profile
Professional Trainer & Educator
Victor Tan is an accomplished corporate trainer and educator with deep expertise in data science, artificial intelligence, HR analytics, and business management. He has extensive experience delivering training across diverse industries, including aviation, healthcare, research, and education, with global clients such as Rolls-Royce and Changi Airport.
Currently a Corporate Trainer at Xaltius Academy, Victor specializes in Agile Project Management, Data Analytics, Machine Learning, Generative AI, and Data Visualization, designing and conducting both corporate and academic programs.
Victor holds multiple advanced degrees, including a PhD in Information Technology (AI & HR Research), and is a Certified HR Professional (IHRP-CP) with pedagogical credentials such as the Advanced Certificate in Learning and Performance (ACLP). He is also highly skilled in emerging technologies, from Python, Power BI, and Tableau to Robotic Process Automation and Blockchain.
With over two decades of experience spanning education, research, operations, and HR strategy, Victor brings a unique blend of technical expertise, leadership acumen, and training excellence to empower professionals and organizations in today’s digital era.
Victor Tan is an accomplished corporate trainer and educator with deep expertise in data science, artificial intelligence, HR analytics, and business management. He has extensive experience delivering training across diverse industries, including aviation, healthcare, research, and education, with global clients such as Rolls-Royce and Changi Airport.
Currently a Corporate Trainer at Xaltius Academy, Victor specializes in Agile Project Management, Data Analytics, Machine Learning, Generative AI, and Data Visualization, designing and conducting both corporate and academic programs.
Victor holds multiple advanced degrees, including a PhD in Information Technology (AI & HR Research), and is a Certified HR Professional (IHRP-CP) with pedagogical credentials such as the Advanced Certificate in Learning and Performance (ACLP). He is also highly skilled in emerging technologies, from Python, Power BI, and Tableau to Robotic Process Automation and Blockchain.
With over two decades of experience spanning education, research, operations, and HR strategy, Victor brings a unique blend of technical expertise, leadership acumen, and training excellence to empower professionals and organizations in today’s digital era.
