AI and Creativity

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Build your subject-matter expertise This course is part of the AI in Media specialisation. When you enrol in this course; you'll also be enrolled in this Specialisation. ● Learn new concepts from industry experts ● Gain a foundational understanding of modern strategic tools ● Develop job-relevant skills with hands-on scenario-based projects ● Earn a shareable career certificate About this Course Generative AI represents a communications revolution on par with the printing press or the internet. This course provides a deep dive into how large language models are transforming the creative process; offering creators a 'factory in the sky' that enables rapid; scalable content production. You will explore the mechanics of how these models work—predicting the next token through vast statistical patterns—and learn to use them to generate high-quality text; imagery; video and music. Beyond the tools; you will engage with the philosophical questions at the heart of the industry: Can a machine truly innovate? Does 'stochasticity' represent a new form of creativity? By the end of this course; you will understand how to harness AI as a creative partner; beating the bot to produce 'luxury' human-made content in an age of automated 'slop'. What you'll learn ● Explain the fundamental architecture of generative AI and Large Language Models, including the processes of tokenisation, vectorisation and next-character prediction. ● Apply a variety of generative tools to create diverse media assets, including high-fidelity images, synthetic video, audio and dynamic game environments. ● Analyse the philosophical and strategic debate regarding machine creativity, using the concepts of stochasticity and 'temperature' to distinguish between algorithmic remixing and original human vision. ● Assess strategic models for organisational 'self-disruption' that balance the adoption of generative efficiencies with the preservation of human-led creative excellence.

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Alex Connock

Dr