[ FROM OUR BLOG ]
Why small projects fail differently from big ones, and how WSQ-funded project management training helps Singapore teams deliver on time and budget.
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Twenty-two IT operations staff from UOB spent a day on the question that actually matters for an ops team: not what an AI agent can do, but what makes it act. The agentic loop, and the five trigger types — always-on memory, on-demand skills, event-driven hooks, manual commands and delegated subagents.
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Singapore's free six-month premium AI subscription went live on 16 September 2026. Here is who qualifies, how to claim it, the one-per-person catch, and the nine WSQ AI courses at Tertiary Infotech that are on the eligible list.
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A practitioner's guide to advanced transactional accounting with Xero — complex invoicing, multicurrency, budgeting and reporting — plus up to 70% WSQ funding for SG learners.
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I had the privilege of attending a course R Programming Fundamentals and Statistics under Alvin. The practical examples and clear explanation enabled me to grasp the concepts easily. His engaging teaching style encouraged me to ask more questions, and he took the time to patiently explain through concepts. I would highly recommend his courses to those interested in furthering their understanding of R programming!
I would like to express my sincere appreciation to Dr. Alvin for being such a wonderful and dedicated teacher. He explains things clearly and patiently, making even difficult topics much easier to understand. Highly recommended!
A very professional training centre. Thank you Dr Alfred for training us in Agentic AI using claude code. As a person in the same industry, their service is top notch compared to others. Hope to be back again soon. Convenient location with comfortable classroom setting.
Really enjoyed Dr Alvin Ang's Machine Learning 101 for Financial Trading course. He has a jovial and engaging teaching style that makes even complex machine learning concepts easy to understand — we were never bored! What I found especially valuable was how he clearly showed where and how machine learning fits into the different stages of an AI trading system. The conceptual materials and sample Python codes shared were also very useful for further learning and experimentation after the course. A fair note for anyone considering the course: this is not a course on profitable trading strategies. It focuses on the fundamental building blocks of data-driven systematic trading, which I think is exactly what beginners need to build a solid foundation. Highly recommended for beginners, or anyone looking to refresh their ML knowledge and understand how it is being applied to systematic trading today. Thanks, Dr Alvin, for the great insights and enjoyable learning experience!
