[ FROM OUR BLOG ]
Tertiary Infotech Academy and NUS researchers have submitted a paper to RAAI 2026 on using large language models to command four robot arms in plain English, with intelligent handoffs that overcome each arm’s reach limits — no task-specific programming required.
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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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I had the opportunity to attend Dr Alvin Ang's Data Analytics with R course, and I enjoyed the class a lot. Dr Alvin Ang was able to explain R concepts very clearly and answer our questions promptly. His teaching style was very engaging (he includes some witty humour during the class from time to time). I would recommend anybody who wants to learn a skill to come sign up for a course at Tertiary Courses Singapore.
My biggest THANK YOU for the workshop on Claude! Cos you structured it so easily to follow, and easy to execute, I digested well. Thank you 师父 (master)!!
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!
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!
