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Course Details
Course Details
What You'll Learn
Topic 1: Identifying Performance Gaps and Root Causes with Generative AI
Topic 2: Developing Corrective Plans and Evaluating Potential Solutions
Topic 3: Selecting, Implementing and Measuring the Effectiveness of Solutions
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
- Operations Manager
- Project Manager
- Human Resources Specialist
- Team Leader
- Business Analyst
- Quality Assurance Manager
- Organizational Development Specialist
- Change Management Consultant
- Process Improvement Specialist
- Department Head/Supervisor
- Customer Service Manager
- Training and Development Manager
- Risk Management Specialist
- Strategy Consultant
- Workplace Mediator.
Trainers
Trainers
Building software that diagnoses problems and proposes fixes is central to the work of Dr. Alfred Ang, a full-stack AI developer, Agentic AI solution architect and corporate trainer who is Chief Technology Officer of Tertiary Infotech Academy Pte Ltd in Singapore, the organisation behind Tertiary Courses. Several of Dr. Ang's projects turn generative AI into a structured analysis partner. An inventory audit and forecasting agent built on n8n uses a local large language model through Ollama to read stock levels, flag anomalies and forecast replenishment needs. A guided SIPOC and process-map builder for Lean Six Sigma helps users map suppliers, inputs, process steps, outputs and customers, tag pain points and generate swimlane diagrams and hand-off tables automatically. An ERP prototype built on Next.js and Postgres routes purchase orders through human-in-the-loop approvals, matches invoices three ways and triggers low-stock replenishment, showing how AI suggestions and human judgement can share a decision. Dr. Ang also built a coaching simulator that helps teams redesign jobs around accountable AI-agent ownership, and a stock-analysis dashboard with a Telegram AI agent for market questions. These projects belong to a public GitHub portfolio of more than 300 repositories spanning front end, back end, databases, cloud deployment and native mobile apps. Together they give Dr. Ang practical experience of where generative AI sharpens analysis and where people must still own the decision. Each of these builds required Dr. Ang to define the problem precisely, test candidate solutions against real data and measure whether the fix actually improved results, which is the same discipline this course teaches. Dr. Ang is also a certified Lean Six Sigma Black Belt and a PMP-certified project manager, so structured problem solving runs through every activity, and as a Distinguished Toastmaster with many public speaking awards he helps learners present their ideas and recommendations with confidence.
Generative AI for Problem Solving draws on that experience to give participants a disciplined, repeatable method rather than ad hoc prompting. The first topic shows learners how to use generative AI to identify performance gaps and dig for root causes, structuring prompts around data, symptoms and context so the AI supports techniques such as five whys and cause-and-effect analysis instead of jumping straight to answers. The second topic moves to developing corrective plans, where participants generate alternative solutions, compare them against cost, risk and feasibility, and ask the AI to challenge assumptions before a recommendation is made. The final topic covers selecting a solution, planning its implementation and defining measures that show whether it actually worked. Dr. Ang teaches through realistic workplace scenarios and live demonstrations, often referring to the approval steps and audit trails built into real projects to explain why a human should remain accountable for the final call. Learners practise writing evaluation criteria, checking AI output for bias and missing evidence, and documenting their reasoning so decisions can be reviewed later. The emphasis throughout is on practical tools that managers, analysts and team leaders can use the following week, not on technical theory. Participants leave with prompt templates, a structured problem-solving workflow and a clearer sense of good judgement with AI. Exercises use cases familiar to participants, such as rising customer complaints, missed delivery targets or slow internal approvals, so the method transfers directly to their own teams and departments. Dr. Ang's projects can be explored 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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The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 4/28/2026)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 - Very informative 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 4/25/2026)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 - Well structured course Review by Course Participant/Trainee
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I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 1/12/2026)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 - Clear and easy to follow 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 1/2/2026)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 - Clear and easy to follow Review by Course Participant/Trainee
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The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 2/25/2025)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
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