Course structure
Day 1:
Introduction to Generative AI and Possibilities in Marketing.
- An overview of generative AI and its use in marketing.
- Presentation of research and case studies on how AI is transforming marketing strategies.
- Discussion of key areas where AI can add the most value.
- Brainstorming and idea generation based on the presented cases.
Task Ontologies and Typical Marketing Challenges
- Introduction to task ontology and explanation of the potential of ChatGPT.
- Identification of typical marketing tasks that take the most time.
- Analysis of how generative AI can simplify or streamline these tasks.
- Practical examples of applying AI to specific marketing tasks.
Advanced Use Cases for AI in Marketing
- Detailed analysis of advanced AI use cases such as personalized marketing campaigns.
- Automating customer support and interactions, predictive analytics, and campaign targeting.
- Data analysis and extracting information from markets.
Case Studies and Discussions
- Presentation of case studies of successful AI implementations in marketing.
- Discussion of ideas and inspirations from case studies.
- Group activities focused on applying the lessons learned to your own marketing strategies.
Day 2:
Brainstorming and Creativity in Marketing
- Using AI to support brainstorming in marketing.
- Generating new ideas and creative solutions using AI.
- Group discussions and idea sharing among participants.
Creating Value Propositions Using AI
- Overview of the methodology for creating value propositions.
- How AI can support the creative process in creating value propositions.
- Hands-on exercises for creating value propositions using AI tools.
Business Promotion and Content Generation
- Creating content for marketing campaigns.
- Optimizing campaigns using AI to increase reach and effectiveness.
- Hands-on exercises on content generation and promotion.
Creating Custom GPT Models for Marketing
- Creating and customizing custom GPT models for marketing needs.
- Integrating specific knowledge into the model for better campaign targeting.
- Testing and iterating models to optimize their performance.
Conclusion and Evaluation
- Summary of key insights and knowledge gained.
- Explore further learning opportunities in AI in marketing.
- Create action plans for implementing AI in your marketing strategies.
