Course Details
Course Details
What You'll Learn
Topic 1: Copilot Studio Workflows
Topic 2: Copilot Studio Agents
Topic 3: Real-Life Applications of Copilot Studio Workflows and Agents
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.
Target Age Group: 18-65 years old
Minimum Software/Hardware Requirement
Software:
You will need the following for this course:
- Microsoft Copilot Studio – a training account will be provided
- Microsoft Power Automate – a training account will be provided
Hardware: Windows PC or Mac laptop
Job Roles
Job Roles
- Network Administrator
- Systems Administrator
- Network Engineer
- IT Manager
- IT Support Specialist
- Network Analyst
- Infrastructure Engineer
- Security Analyst
- Network Architect
- IT Consultant
- Systems Analyst
- Network Operations Specialist
- Data Center Engineer
- IT Project Manager
Trainers
Trainers
Workflow automation with AI agents is a speciality of Dr. Alfred Ang, a full-stack AI developer, Agentic AI solution architect and corporate trainer who serves as Chief Technology Officer of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses. Dr. Ang builds end to end, covering front ends, back ends, databases, cloud deployment and native mobile apps, and has delivered many low-code and agent-based automations that mirror what Copilot Studio and Power Automate do in the Microsoft world. On n8n, Dr. Ang built a self-service HR portal where leave applications go through human-in-the-loop manager approval and an AI chatbot answers policy questions within input and output guardrails, a retrieval-augmented chatbot that answers questions from uploaded PDFs through Telegram, a course chatbot for a bakery training centre, and an inventory forecasting agent running on a local language model. Email automation workflows handle auto-replies, Gmail and subscriber management for the Malaysia and Ghana sites, and a low-code IoT platform triggers device actions and alerts from n8n flows. Dr. Ang also built an ERP prototype that routes purchase-order approvals through email, Asana and Telegram, an AI-powered learning and training management system with AI agent automation, and a tool that searches Microsoft Learn courses and generates achievement codes through Playwright automation. Each project combines triggers, connectors, conditions and AI decisions, and all are visible among more than 300 public repositories on GitHub. Many of these flows run unattended every day, so reliability and clear failure alerts matter.
Copilot Studio and Power Automate is taught from that perspective of designing automations that run reliably in real organisations. Dr. Ang opens with Copilot Studio workflows, showing how triggers, connectors, conditions and actions combine with Power Automate flows to move information between Outlook, Teams, SharePoint, Excel and other services without manual copying. In the second topic, learners build Copilot Studio agents grounded in organisational knowledge, configure topics and instructions, and give agents actions so they can do work such as logging a request or updating a list rather than only answering questions. The third topic applies both tools to real-life scenarios: approval processes, request intake forms, automated notifications, document processing and agents that hand over to a person when a decision needs human judgement. Dr. Ang draws on experience building human-in-the-loop approval flows to explain error handling, testing, naming conventions, permissions and how to monitor flows after they go live. Sessions are hands-on: Dr. Ang demonstrates each build step by step, explains the design choices, then guides learners as they create their own agent and flow for a process from their workplace. Common pitfalls such as connector authentication, infinite loops and over-broad agent knowledge are covered with practical fixes. Learners leave with working automations, a reusable design checklist and the confidence to identify further processes to automate. Each learner also documents the finished flow so colleagues can maintain it later. To explore the agent and workflow projects behind this course, visit https://github.com/alfredang
Review
Customer Reviews (10)
- Superb training Review by Course Participant/Trainee
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Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 04/06/2025)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Great practical training Review by Course Participant/Trainee
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Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 28/03/2025)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Well structured course Review by Course Participant/Trainee
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Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 27/03/2025)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Clear and easy to follow Review by Course Participant/Trainee
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A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 19/08/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Superb training Review by Course Participant/Trainee
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Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 27/05/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
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