AI In Digital Marketing Course Syllabus

Overview: This course provides a comprehensive introduction to the application of artificial intelligence in digital marketing, designed for marketers, freelancers, and entrepreneurs. Through six modules spanning approximately 15-20 hours, learners will explore practical AI tools and techniques used in modern marketing strategies. The course emphasizes hands-on learning with real-world projects, case studies, and interactive labs. No coding experience is required, making it accessible to beginners while delivering advanced insights into AI-driven marketing automation, personalization, and analytics. By the end, learners will complete a capstone project applying AI solutions to real marketing challenges.

Module 1: Foundations of Computing & Algorithms

Estimated time: 2 hours

• Review of tools and frameworks commonly used in practice
• Introduction to key concepts in foundations of computing & algorithms
• Guided project work with instructor feedback

Module 2: Neural Networks & Deep Learning

Estimated time: 2 hours

• Introduction to key concepts in neural networks & deep learning
• Interactive lab: Building practical solutions
• Review of tools and frameworks commonly used in practice
• Case study analysis with real-world examples

Module 3: AI System Design & Architecture

Estimated time: 4 hours

• Hands-on exercises applying AI system design & architecture techniques
• Discussion of best practices and industry standards
• Guided project work with instructor feedback

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
• Hands-on exercises applying natural language processing techniques

Module 5: Computer Vision & Pattern Recognition

Estimated time: 4 hours

• Introduction to key concepts in computer vision & pattern recognition
• Hands-on exercises applying computer vision & pattern recognition techniques
• Interactive lab: Building practical solutions
• Assessment: Quiz and peer-reviewed assignment

Module 6: Deployment & Production Systems

Estimated time: 3 hours

• Introduction to key concepts in deployment & production systems
• Interactive lab: Building practical solutions
• Guided project work with instructor feedback
• Hands-on exercises applying deployment & production systems techniques

Prerequisites

• Familiarity with basic digital marketing concepts
• Access to a computer and internet
• No prior coding or AI experience required

What You'll Be Able to Do After

• Implement intelligent systems using modern AI frameworks and libraries
• Evaluate model performance using appropriate metrics and benchmarks
• Apply computational thinking to solve complex marketing problems
• Implement prompt engineering techniques for large language models
• Build and deploy AI-powered applications for real-world marketing use cases