Lesson plans

Image recognition

Image recognition is a form of teaching computers to see and understand pictures similar to how humans do. It's a way for machines to recognise objects, people, places or features in photos and videos.

Try these lessons:

Natural language processing

Natural language processing (NLP) is the technology that powers a number of AI applications. It makes chatbots chat. It gives virtual assistants their ability to help. It performs sentiment analysis to classify emotions in text. And it translates language to break down language barriers.

Try these lessons:

Machine learning

Machine learning is a process that teaches computers to learn from examples to help them get better at tasks such as predicting, recommending and decision-making. It's what makes technology smarter!

Try these lessons:

Ethics and responsible AI

AI and ethics are intertwined as society grapples with questions of fairness, privacy and accountability in the design and use of artificial intelligence (AI). Responsible AI development is crucial to ensure that AI systems benefit society, avoid bias, and respect human values and rights.

Try these lessons:

Recommender systems

Recommender (or recommendation) systems are a type of information-filtering system that attempts to predict the rating or preference a user would give to an item.

Try these lessons:

Evaluating AI systems

Evaluating AI systems not only assesses their performance but also measures their impact on society, addressing ethical considerations and potential consequences of their use. It's a comprehensive process to ensure responsible and effective AI deployment.

Try this lesson:

AI unplugged

Try our new AI unplugged lessons to explore AI concepts in the classroom that don’t require any tech.