Advertising In The Age Of Generative AI Course Syllabus

Overview: This course provides a comprehensive introduction to the role of generative AI in modern advertising, designed for beginners in marketing and content creation. Learners will explore core AI concepts and their practical applications in ad campaigns, content generation, and customer personalization. The course blends theory, hands-on labs, and real-world case studies across six modules, requiring approximately 15–18 hours to complete. Participants will gain actionable skills in AI-powered advertising tools and techniques, culminating in a final project that demonstrates their ability to design and deploy AI-enhanced marketing strategies.

Module 1: Foundations of Computing & Algorithms

Estimated time: 4 hours

• Introduction to key concepts in foundations of computing & algorithms
• Case study analysis with real-world examples
• Review of tools and frameworks commonly used in practice

Module 2: Neural Networks & Deep Learning

Estimated time: 4 hours

• Guided project work with instructor feedback
• Review of tools and frameworks commonly used in practice
• Interactive lab: Building practical solutions
• Discussion of best practices and industry standards

Module 3: AI System Design & Architecture

Estimated time: 2 hours

• Review of tools and frameworks commonly used in practice
• Introduction to key concepts in ai system design & architecture
• Interactive lab: Building practical solutions

Module 4: Natural Language Processing

Estimated time: 3 hours

• Review of tools and frameworks commonly used in practice
• Discussion of best practices and industry standards
• Assessment: Quiz and peer-reviewed assignment

Module 5: Computer Vision & Pattern Recognition

Estimated time: 2 hours

• Discussion of best practices and industry standards
• Hands-on exercises applying computer vision & pattern recognition techniques
• Review of tools and frameworks commonly used in practice

Module 6: Deployment & Production Systems

Estimated time: 3 hours

• Guided project work with instructor feedback
• Hands-on exercises applying deployment & production systems techniques
• Discussion of best practices and industry standards

Prerequisites

• Familiarity with basic digital marketing concepts
• Basic understanding of AI and technology trends
• Access to a computer with internet for lab exercises

What You'll Be Able to Do After

• Apply computational thinking to solve complex advertising challenges
• Implement prompt engineering techniques for large language models in ad creation
• Design and optimize AI-powered advertising campaigns
• Build and deploy AI-generated content for marketing use cases
• Integrate generative AI tools into real-world advertising strategies