Agentic AI Applications with Claude Code: SG Guide
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 →[ FROM OUR BLOG ]
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 →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 →How Sora, Runway and Veed.io are changing video production in Singapore—and how WSQ-funded generative AI video creation training gets your team production-ready fast.
Read article →[ LEARNER STORIES ]
I had the pleasure of learning R Data Analytics and Visualization under Dr Alvin Ang at Tertiary Infotech. His lessons were well-structured, engaging, and easy to follow, allowing even complex R programming concepts to be understood with confidence. Through a combination of clear explanations, practical examples, and hands-on exercises, he created an enjoyable and highly effective learning experience. Throughout the course, Dr Alvin covered a comprehensive range of topics including data wrangling with the tidyverse, data visualization using ggplot2, data manipulation with dplyr, tidyr and readr, piping with %>%, text mining using wordcloud, and statistical analysis techniques that are highly relevant to real-world data analytics. He was always patient, approachable, and willing to answer questions, ensuring that every participant understood the concepts before moving forward. Beyond the classroom, Dr Alvin generously shared additional learning resources, industry insights, and practical career advice to support our continued learning journey. I would highly recommend Dr Alvin Ang to anyone looking to build a strong foundation in R programming, data analytics, and data visualization. His passion for teaching and depth of knowledge make him an outstanding trainer and mentor.
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 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.
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!