AI Social Media Marketing Course Syllabus

Overview: This beginner-friendly course introduces learners to the practical application of AI in social media marketing, focusing on content creation, automation, and performance analytics. Designed for professionals with no coding background, it spans approximately 15-20 hours of flexible learning. Through hands-on exercises, case studies, and guided projects, participants will gain actionable skills in leveraging AI tools to enhance social media strategies and engagement.

Module 1: Foundations of Computing & Algorithms

Estimated time: 4 hours

• Discussion of best practices and industry standards
• Hands-on exercises applying computing fundamentals
• Applying algorithms to marketing scenarios
• Introduction to computational thinking for marketing problems

Module 2: Neural Networks & Deep Learning

Estimated time: 2 hours

• Introduction to key concepts in neural networks
• Understanding deep learning basics
• Hands-on exercises with deep learning techniques
• Guided project work with instructor feedback

Module 3: AI System Design & Architecture

Estimated time: 3 hours

• Introduction to AI system design principles
• Case study analysis with real-world examples
• Discussion of industry best practices
• Guided project work with feedback

Module 4: Natural Language Processing

Estimated time: 2 hours

• Introduction to NLP concepts
• Review of NLP tools and frameworks
• Discussion of best practices in text generation and analysis
• Applying NLP to social media content

Module 5: Computer Vision & Pattern Recognition

Estimated time: 3 hours

• Case study analysis with real-world examples
• Interactive lab: Building practical solutions
• Introduction to image recognition for marketing
• Pattern recognition in user engagement

Module 6: Deployment & Production Systems

Estimated time: 4 hours

• Introduction to deployment and production systems
• Review of tools and frameworks used in practice
• Interactive lab: Building practical AI solutions
• Discussion of best practices for real-world implementation

Prerequisites

• Familiarity with basic social media platforms
• No coding experience required
• Basic understanding of digital marketing concepts

What You'll Be Able to Do After

• Build and deploy AI-powered applications for social media use cases
• Evaluate AI model performance using relevant metrics
• Apply prompt engineering techniques to large language models
• Implement intelligent systems using modern AI frameworks
• Design and execute AI-enhanced social media strategies