Build your subject-matter expertise
This course is part of the AI in Media. 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 As AI moves from the IT department to the centre of the office, production workflows are being radically reinvented. This course focuses on the practicalities of operating a media organisation in the AI era, addressing the technical, legal, and ethical realities of modern production. You will learn how AI aids in discovering new factual knowledge—from translating animal sounds to unravelling ancient scrolls—and how it can supercharge productivity in editing and research. Crucially; you will tackle the challenges of 'AI and the Truth'; examining bias mitigation; the lawsuit landscape surrounding copyright and the rise of AI agents. Through hands-on activities, you will apply your learning to design responsible, resilient and innovative strategies for the next generation of media organisations. What you'll learn ● Evaluate the transformation of media production workflows and the shift from marginal experimentation to core operational strategy. ● Analyse the impact of AI on media employment and productivity, identifying opportunities for human-AI collaboration versus displacement risks. ● Assess the risks of disinformation, deepfakes and algorithmic bias in journalism to maintain integrity in news gathering and content distribution. ● Examine the complex intellectual property landscape surrounding generative AI, including training data provenance and evolving copyright legislation. ● Outline robust AI compliance frameworks and select risk-weighted tools that align with regulatory standards and organisational values. ● Identify the key components of a comprehensive business proposal for an AI-driven media venture, incorporating market sizing and strategic resource allocation. ● Differentiate between Large and Small Language Models to optimise cost, energy efficiency and cultural specificity in scaling media operations.














