Module 1: Foundations of AI in Marketing
- Introduction to AI concepts: machine learning, natural language processing, computer vision
- Digital marketing basics: SEO, SEM, content marketing, social media, email marketing
- AI’s role in marketing: personalization, automation, predictive analytics
Module 2: Data-Driven Marketing
- Data collection and management: customer data platforms (CDPs), CRM systems
- Analytics and insights: AI-powered dashboards, customer segmentation
- Predictive modeling: forecasting trends, churn prediction, lead scoring
Module 3: AI Tools and Applications
- Content creation: AI copywriting tools, image/video generation
- Customer engagement: chatbots, voice assistants, recommendation engines
- Advertising: programmatic ad buying, dynamic creative optimization
Module 4: Advanced Strategies
- Hyper-personalization: real-time product recommendations
- Marketing automation: AI-driven workflows for email, social, and ads
- Sentiment analysis: social listening, brand reputation management
Module 5: Ethics and Compliance
- AI bias and fairness: avoiding discriminatory targeting
- Privacy and data protection: GDPR, CCPA, Nigerian Data Protection Act
- Responsible AI marketing: transparency, customer trust
Module 6: Future Trends
- Generative AI in marketing: personalized video ads, immersive experiences
- AI with AR/VR: virtual shopping assistants, interactive campaigns
- Web3 and AI: blockchain-based customer loyalty, decentralized data