Level 3 AI Strategy and Innovation for Esports
Advanced AI Application in Esports
Explores the use of AI tools and technologies in esports, focusing on automation, performance optimisation, and AI-driven decision-making to enhance gameplay, media production, and audience engagement.
Strategic Data Management and Analytics
Focuses on managing and analysing large datasets to extract insights for esports strategies. Learners will explore AI-powered data collection, processing, and predictive analytics to support decision-making and performance improvement.
AI-Powered Innovation in Esports Performance
Examines how AI technologies can optimise player performance through personalised training programmes, performance tracking, and real-time analysis, ensuring continuous improvement and competitive advantage.
Ethical and Responsible AI Use in Esports
Covers ethical considerations and responsible practices in AI integration, including data privacy, algorithm bias, and fair play. Learners will develop frameworks for ethical AI use in esports environments.
AI-Enhanced Esports Training Programmes
Focuses on AI-driven training programmes that enhance player development, simulate gameplay scenarios, and analyse strengths and weaknesses to create tailored improvement plans.
AI-Driven Esports Business Strategy and Market Analysis
Explores the application of AI in shaping esports business strategies and market analysis. Learners will assess AI tools for identifying trends, audience behaviours, and growth opportunities to drive business success.