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Institute of Technical Education
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  2. Secondary school students
  3. Applied Learning Modules (ApLM@ITE)
  4. List of Applied Learning Modules (ApLM@ITE)
  5. Electronics & Info-Comm Technology
  6. Ace it with AI
Electronics & Info-Comm Technology

Ace it with AI

More information on the module on AI.

Start your journey into Artificial Intelligence

Artificial 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.

Learning outcomes

Explore AI in smart homes and cities

By 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 projects

You 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.

Module outline

More information on the module outline

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Module outline

1

Practice analysis of the ethical considerations of AI

  • Explain Emerging Technologies

  • Explain the three common domains of AI

  • Describe 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 solutions

2

Perform Machine Learning Model Training

  • Explain concept of Machine Learning

  • List different types of application using Machine Learning

  • Elaborate on ML Model Training

  • Describe different data required for class sample

3

Perform Export of Model Programming

  • Explain export options

  • Explain trained model

  • Explain how to advance the trained model

  • Explain project and troubleshooting techniques

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