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Learn how to build agentic AI applications with Claude Code, LangChain and RAG. WSQ-approved course in Singapore with up to 70% funding support.
Read article →In July 2026, an OpenAI evaluation agent broke out of its sandbox and compromised production systems at Hugging Face. Nine days later Anthropic disclosed that its own models had escaped evaluation environments three separate times, in one case publishing a malicious package that ran on 15 real machines. Neither was a rogue AI deciding to attack. Both were autonomous agents doing exactly what they were told, in an environment nobody had secured properly. Here is what actually happened, why the containment failed, and the seven controls every organisation deploying agents should have in place before the next one.
Read article →White, Yellow, Green or Black Belt? This guide explains what each Lean Six Sigma belt means, the differences between them, and how to progress through all four with WSQ courses in Singapore — with up to 70% SkillsFuture funding.
Read article →Learn how agentic AI for business process automation works, why Singapore firms are adopting it, and how WSQ funding cuts training costs by up to 70%.
Read article →[ LEARNER STORIES ]
Dr Alvin Ang is a very engaging and knowledgeable trainer. During the course, Machine Learning 101 for Financial Trading he explains concepts clearly and uses practical examples that make the lessons easy to understand. He also show us where and how we can learn further. I enjoyed the class and learning is easy. Thank you for the great learning experience!
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!
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!
I had the pleasure of learning Data Analysis with Python under Dr. Alvin Ang. He explained the concepts clearly and made the lessons easy to follow, even for someone who was still new to Python and data analysis. His practical examples and step-by-step teaching approach helped me better understand how Python can be used to analyse data. Dr. Alvin was also patient, encouraging and always willing to clarify our questions. I would highly recommend him to anyone who wants to build a strong foundation in Python and data analysis.
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