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.

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 online, self-paced course can be completed flexibly. You can join and start this course at any time after the advertised date, and keep access for a year after booking. You can learn independently or with colleagues to directly address your individual needs.

This course will be periodically facilitated by expert Professional Development Leaders.

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.

Find out more