Introduction to AI (In-Person)

This course teaches Python programmers how "neural networks"—computational models inspired by the brain—are structured to predict information from your data.

You must be comfortable with Python and have experience with data analysis (like using pandas and plotting) at the level of 'Introduction to Data Analysis and Machine Learning in Python' (also a part of Data Week 2026). Understanding basic math concepts like derivatives (calculus) is strongly recommended.

You will need a laptop and a Google account to use Colab https://colab.google/

• Understand how a multi-layer neural network works.
• Get a basic understanding of how computers "learn" through processes called gradient descent and backpropagation.
• Learn the basics of PyTorch, a popular tool for building AI.

Please look at our Code of Conduct for all online and in-person events organised by the JGI.

This event is part of Bristol Data Week 2026, organised by the Jean Golding Institute taking please from Monday 1 June – Friday 5 June 2026. Bristol Data Week is a university-wide umbrella event bringing together academia, industry, community organisations, policy makers and the public to explore the power of data science and AI in addressing real-world challenges.

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Host or Publisher Jean Golding Institute at the University of Bristol