Start Your Journey into Artificial IntelligenceArtificial Intelligence (AI) is a key technology driving Singapore’s digital economy and is used in many industries. This course is designed to help you begin your AI journey and become AI-ready with training in various AI tools. You will gain exposure to exciting AI applications that can be used in everyday life, from the classroom to the workplace.Learn and Apply AI Skills Using web-based machine learning tools like Teachable Machine, you will learn to gather data and train AI models. These skills will allow you to apply AI in practical settings, enhancing your learning and work environments. With courses like Higher Nitec in IT Applications Development, you can further develop your expertise in this exciting field.
Explore AI in Smart Homes and CitiesBy the end of this module, you will understand how AI can transform smart homes and cities. You will learn how AI makes everyday life more convenient and efficient. This knowledge will help you see the potential of AI in creating smarter environments.Build Ethical and Fun AI ProjectsYou will also explore the ethical side of AI, focusing on issues like inclusion, bias, and privacy. With this understanding, you will program and create a simple machine learning game. This hands-on experience will equip you with the skills to develop AI projects responsibly and creatively.
S/NModule Outline1Practice analysis of the ethical considerations of AIExplain Emerging TechnologiesExplain the three common domains of AIDescribe potential applications of AI that can be useful for students and those around them at home or at school along with ethical considerations Discuss the leverage points in a system which are appropriate for AI solutions2Perform Machine Learning Model TrainingExplain concept of Machine LearningList different types of application using Machine LearningElaborate on ML Model TrainingDescribe different data required for class sample3Perform Export of Model ProgrammingExplain export optionsExplain trained modelExplain how to advance the trained modelExplain project and troubleshooting techniques