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Course Details
Course Details
What You'll Learn
Topic 1: Getting Started with Generative AI for Agile
Topic 2: AI for Backlogs, User Stories and Planning
Topic 3: AI for Sprints, Standups and Delivery
Topic 4: AI for Reporting, Retrospectives and Improvement
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
You will need the following for this course:
- A free account on a generative AI assistant of your choice, e.g. ChatGPT, Google Gemini or Microsoft Copilot (confirm the required account tier with the trainer)
Install and test the listed software before class. Confirm the required version and account or licence access in your joining instructions. Cloud and AI services may charge subscription or usage fees.
Bring a Windows or Mac laptop supported by the listed software, with a working keyboard and sufficient storage for course exercises.
Bring your own computer and charger, with a reliable internet connection and permission to install the required software. For live online classes, also prepare a microphone or headset.
If you need help arranging a suitable device, contact us before the class to confirm availability.
Job Roles
Job Roles
- Project Manager
- Scrum Master
- Product Owner
- Business Analyst
- Product Manager
- Team Leader
- IT Project Manager
- Change Manager
- Operations Manager
- Business Process Manager
- Development Team Lead
- QA Manager
- HR Project Coordinator
- Program Manager
- Organizational Development Specialist
Trainers
Trainers
Shipping software in short, steady iterations is how Dr. Alfred Ang works, so agile delivery is familiar ground. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and serves as CTO of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses. The ai-mms course-registration platform, which runs the Tertiary Courses sites in Singapore, Malaysia and Ghana, is developed and deployed continuously, with every change verified locally and released through an automated pipeline, while AI-LMS-TMS, tertiary-hrms and ai-exams each evolved through many small, user-driven increments. Dr. Ang also built a series of single-file IT project-management Kanban boards used in demonstrations and training, featuring drag-and-drop and keyboard moves, filters, overdue badges, KPI tiles, project status charts and timeline views, along with a real-time polling app and a collaborative pinboard that suit standups and retrospectives. Much of this development is done with AI coding agents and Claude Code skills that Dr. Ang publishes for planning, documentation and quality checks. More than 300 public repositories at github.com/alfredang reflect this rhythm of backlog, build, review and improve. For project managers, Scrum Masters and product owners, that means a trainer who has used generative AI inside real sprints rather than only describing agile in theory. Dr. Ang also understands the human side of agile, having coordinated developers, designers and operations staff through frequent releases, shifting priorities and changing stakeholder requests across multiple sites and products. Dr. Ang is also a PMP-certified project manager and a certified Lean Six Sigma Black Belt, so the AI techniques in this course are anchored in formal project management and process-improvement discipline, and as a Distinguished Toastmaster with many public speaking awards he keeps every session clear and engaging.
Generative AI for Agile Project Management turns that practice into a structured learning path. The first topic, getting started with generative AI for agile, introduces tools such as ChatGPT, Claude and Microsoft Copilot and shows how to prompt them for reliable project outputs. Learners then apply AI to backlogs, user stories and planning, generating well-formed stories with acceptance criteria, splitting epics, estimating effort and preparing for sprint planning. The third topic covers sprints, standups and delivery, using AI to summarise progress, surface blockers, draft stakeholder updates and manage risks. The final topic focuses on reporting, retrospectives and improvement, where AI helps analyse sprint data, facilitate retrospectives and capture actionable lessons. Dr. Ang demonstrates each technique with the Kanban boards, dashboards and AI-assisted workflows used in-house, then has participants practise on a realistic project scenario from backlog to retrospective. The teaching style is practical and conversational, with frank discussion of where AI speeds up ceremonies and documentation and where team judgement, facilitation and trust remain irreplaceable. Project managers, Scrum Masters, product owners and team leads will leave with a library of prompts and templates for every stage of the sprint cycle and a clear plan for introducing AI into their team responsibly. Learners also explore how to use AI to keep the definition of done, sprint goals and team agreements visible, and how to prevent AI-generated documentation from replacing genuine conversation between team members. Templates for stand-up summaries and sprint reviews are included. To explore the Kanban boards and agile delivery tools referenced in class, visit Dr. Ang's portfolio at https://github.com/alfredang.
Dr. Muhammed Siraj is a cybersecurity specialist and academic with 15 years of experience, serving as Senior Lecturer in the Department of Informatics and Director of Graduate and Continuous Education at Academic City University in Accra. He holds a PhD in Security in Computing from Universiti Putra Malaysia, where his research focused on blockchain security, an MSc in Information and Communication Technology from Aalborg University in Denmark, and a degree from the University of Ghana. He is a licensed independent assessor with Ghana's Cyber Security Authority, holds leadership roles in national cybersecurity and privacy professional bodies, and is certified as a Certified Ethical Hacker (CEH), Computer Hacking Forensic Investigator (CHFI) and Certified Data Protection Supervisor (CDPS). Before joining Academic City, he served as Acting Director of ICT and Data Protection Supervisor at Wisconsin International University College. His expertise spans penetration testing, digital forensics, incident response, malware analysis, cryptography, cloud and IoT security, zero trust architecture, cyber threat intelligence, data protection, and governance, risk and compliance.
Dr. Siraj's research interests cover blockchain, cybersecurity, distributed computing, consensus protocols and machine learning, with published work on blockchain consensus security, smart-contract privacy preservation for sensitive records in the cloud, and new consensus mechanisms. This background gives him a distinctive perspective on artificial intelligence: as organisations adopt AI tools, agents and data-driven automation, he helps learners understand how to protect the data these systems depend on, recognise new attack surfaces, and put sound governance, privacy and access controls in place so that AI can be used safely and responsibly. In the classroom he connects technical practice with regulation, privacy and human factors, drawing on real-world security and data-protection cases to show how concepts apply in professional settings, and his experiential, hands-on teaching style has made him a trusted trainer for students and working professionals alike.
Review
Customer Reviews (7)
- Knowledgeable trainer 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 5/25/2026)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 - Learned a lot Review by Course Participant/Trainee
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The trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 5/5/2026)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 - Good course materials 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 4/9/2026)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 learning experience 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 3/4/2026)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 - Worth every cent Review by Course Participant/Trainee
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The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 2/5/2026)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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