AI in Advertising
Class Goal
This comprehensive class will demystify the major types of artificial intelligence revolutionizing today's advertising ecosystem. Students will learn how each AI type operates, explore real-world advertising applications, and gain the confidence to strategically identify where and how AI tools enhance campaign strategy, execution, and measurement.
Demystify AI Types
Understand the core differences between Machine Learning, Deep Learning, NLP, Generative AI, and Agentic AI systems.
Real-World Applications
Explore practical advertising use cases and implementation strategies across various campaign types.
Strategic Integration
Build confidence in identifying optimal AI integration points for maximum campaign impact.
Details:
Duration: 90 minutes
Class Outline
Our structured curriculum covers essential AI types with hands-on advertising applications and strategic implementation guidance.
1
Introduction
Foundation of AI principles and their transformative impact on modern advertising landscape.
2
Machine Learning
Predictive models powering targeting, lookalike audiences, and programmatic bidding optimization.
3
Deep Learning
Neural networks driving fraud detection, creative optimization, and advanced media recognition systems.
4
Natural Language Processing
Sentiment analysis, contextual targeting strategies, and intelligent chatbot implementations.
5
Generative AI
Content creation tools for ad copy, visual assets, video production, and audio generation.
6
Agentic AI
Autonomous agents revolutionizing campaign management and automated media buying processes.
7
Wrap-Up
Integration strategies, ethical frameworks, and future trends shaping AI's role in advertising.
Strategic Focus
Each session includes practical exercises and real campaign case studies.
Future-Ready
Forward-looking perspective on emerging AI trends and applications.