An AI model is a program that learns from data to make decisions or predictions. Instead of being given exact instructions, an AI model recognises patterns in data and applies what it has learned to new situations. AI is used in real life for things like facial recognition, voice assistants, and recommendation systems (such as Netflix suggesting movies).

In this topic, you will learn how to:

• Define a problem that can be solved using AI
• Collect or prepare training data for an AI model
• Train an AI model
• Test the AI model to see how well it performs
• Modify and improve the AI model based on the results

AI models follow a process called the AI model life cycle, where they are trained, tested, and improved to become more accurate.

What You Will Do
You will train a simple AI model to solve a problem, such as:

• Recognising objects in images
• Identifying different voices or sounds
• Detecting specific body movements or poses
• Making predictions using a dataset

After training, you will test how well your model works and suggest improvements. This hands-on approach will help you understand how AI models are developed and used to solve real-world problems.