AI in Advertising

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AI in Advertising

Today's students and young professionals need the skills to help them excel in an AI-enabled workforce.
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Creatives are creating with AI. Planners are planning. Influencers are socializing. CRMs are engaging customers. Entire digital ad stacks are now AI-enabled. You should be too, because ideally, it should all work together.

Our AI in Digital Advertising course and workshop covers it all. Our lessons are outcome-based, focused on a hands-on approach with leading AI applications and include input from top professionals and academics.

Learning objectives:

    • Introduction to AI in Advertising: An overview of AI and its role in modern advertising. This covers the basics of AI, machine learning, and data analytics.
    • Targeted Advertising: Detailed exploration of how AI algorithms can analyze consumer behavior to create highly targeted ads. This includes studying online behavior, purchase history, and social media activity.
    • AI-Driven Content Creation: How AI can be used to generate creative content for advertisements, including text, images, and videos. This would cover tools like GPT for copywriting and DALL-E for graphic design.
    • Predictive Analytics: Understanding how AI can predict future consumer trends and behaviors based on historical data. This section might also delve into market segmentation and personalization strategies.
    • Programmatic Advertising: Examining how AI automates the buying, placement, and optimization of ads, particularly in the digital space.
    • Ethical Considerations: Discussing the ethical implications of using AI in advertising, such as privacy concerns, data security, and the potential for bias in algorithmic decision-making.
    • Case Studies and Real-World Applications: Analyzing successful AI advertising campaigns and exploring how different industries are utilizing AI in their marketing strategies.
    • Future Trends: Exploring emerging trends in AI and advertising, including the use of augmented reality (AR) and virtual reality (VR), and how these technologies might shape future advertising strategies.

This course is suitable for advertising, media, and communication majors as well as marketing professionals, business students, and anyone interested in the intersection of technology and advertising. It blends theoretical knowledge with practical applications, providing a comprehensive understanding of how AI is transforming the advertising landscape.