AI Marketing And Campaign Optimization Course Syllabus

Overview: This beginner-friendly course introduces learners to the fundamentals of AI in marketing and campaign optimization, combining core AI concepts with practical marketing applications. Over approximately 16-20 hours, participants will explore key AI technologies, learn how to improve marketing performance using data-driven strategies, and apply techniques like audience targeting, A/B testing, and performance analytics. The course includes hands-on labs, real-world case studies, and guided projects to reinforce learning and prepare learners for modern digital marketing roles.

Module 1: Foundations of Computing & Algorithms

Estimated time: 2 hours

• Introduction to key concepts in foundations of computing & algorithms
• Discussion of best practices and industry standards
• Interactive lab: Building practical solutions
• Guided project work with instructor feedback

Module 2: Neural Networks & Deep Learning

Estimated time: 4 hours

• Introduction to key concepts in neural networks & deep learning
• Review of tools and frameworks commonly used in practice
• Hands-on exercises applying core AI concepts
• Assessment: Quiz and peer-reviewed assignment

Module 3: AI System Design & Architecture

Estimated time: 4 hours

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

Module 4: Natural Language Processing

Estimated time: 3 hours

• Hands-on exercises applying natural language processing techniques
• Case study analysis with real-world examples
• Discussion of best practices and industry standards

Module 5: Computer Vision & Pattern Recognition

Estimated time: 2 hours

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

Module 6: Deployment & Production Systems

Estimated time: 3 hours

• Case study analysis with real-world examples
• Guided project work with instructor feedback
• Discussion of best practices and industry standards

Prerequisites

• Familiarity with basic marketing concepts
• Basic understanding of data analysis
• No prior AI or programming experience required

What You'll Be Able to Do After

• Apply core AI concepts such as neural networks and deep learning to marketing challenges
• Use AI tools for audience segmentation, targeting, and campaign personalization
• Analyze marketing performance using AI-driven analytics
• Optimize campaigns based on A/B testing and real-time data
• Design and deploy AI-informed marketing strategies with measurable ROI