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Introduction to Machine Learning and AI

CO231 Online course

Discover the fundamentals of machine learning, how it works, and learn to train your own AI using free online tools.

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Data & information Mathematics Key stage 3 Key stage 4 Teach secondary computing certificate
Free online course Approximately 8 hours of self-study

From self-driving cars to determining someone's age, artificial intelligence (AI) systems trained with machine learning (ML) are being used more and more. But what is AI, and what does machine learning actually involve?

Who is it for?

This course is for current or prospective teachers of computer science who have some understanding of computer science principles.

Topics covered

  • Classification and making predictions
  • Data Science and Machine Learning
  • Supervised and unsupervised learning
  • Neural networks
  • Ethics and Machine Learning

How long is this course?

This is approximately 8 hours of self-directed learning.

How will you learn?

This course is not facilitated. You can learn independently or with colleagues to directly address your individual needs.

Outcomes

By the end of the course, you‘ll be able to...

  • Demonstrate several working machine learning models
  • Explain the different types of machine learning, and the problems that they are suitable for
  • Compare supervised, unsupervised, and reinforcement learning
  • Discuss the ethical issues surrounding machine learning and AI

This course is part of Teach secondary computing

Teach secondary computing

Our nationally recognised qualification will give you confidence to take your computing teaching to the next level and to apply those skills in the classroom.

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This course is from the National Centre for Computing Education and is delivered by STEM Learning.

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