AI For Marketing Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview (80-120 words) describing structure and time commitment.
Module 1: Foundations of Computing & Algorithms
Estimated time: 2-3 hours
- Introduction to core AI concepts and computational thinking
- Understanding algorithms and their role in marketing automation
- Applying problem-solving techniques to marketing challenges
- Best practices in AI-driven decision making
Module 2: Neural Networks & Deep Learning
Estimated time: 1-2 hours
- Introduction to neural networks and deep learning
- Understanding how AI models learn from customer data
- Applications in customer segmentation and targeting
- Evaluating model performance in marketing contexts
Module 3: AI System Design & Architecture
Estimated time: 3-4 hours
- Designing AI systems for marketing automation
- Review of tools and frameworks used in marketing AI
- Case studies on scalable AI solutions for digital campaigns
Module 4: Natural Language Processing
Estimated time: 3 hours
- Applying NLP to customer sentiment analysis
- Prompt engineering for content generation
- Using large language models for personalized messaging
Module 5: Computer Vision & Pattern Recognition
Estimated time: 4 hours
- Image recognition in social media marketing
- Pattern recognition for consumer behavior analysis
- Practical applications in ad targeting and branding
Module 6: Deployment & Production Systems
Estimated time: 2 hours
- Deploying AI models in real-world marketing environments
- Monitoring and optimizing AI-powered campaigns
- Best practices for maintaining AI systems in production
Prerequisites
- Basic understanding of marketing principles
- Familiarity with digital platforms (e.g., social media, email marketing)
- No coding or technical background required
What You'll Be Able to Do After
- Apply AI tools to automate marketing tasks
- Use NLP and generative AI for content creation
- Implement personalization strategies using AI insights
- Analyze customer data with pattern recognition techniques
- Deploy and manage AI-driven marketing campaigns effectively