Learners explore the use of artificial intelligence in marketing, including market research, audience targeting, content creation and distribution, campaign analytics, personalization, customer engagement, and predictive marketing strategies. Through demonstrations, case studies, applied exercises, sample marketing plans, and collaborative problem-solving, students develop skills in selecting and applying Al tools to improve marketing performance. The course guides learners to examine both the technical and strategic aspects of Al, from understanding Al-driven decision-making to ethical considerations in marketing and culminates in a final project where students integrate Al tools to address a real-world marketing challenge and optimize business outcomes.
It is strongly recommended that students have a mastery of competencies usually obtained by completing AI Prompt Engineering (ONT AI1), followed by Agentic AI (ONT AI2), before proceeding with other occupation-specific courses in the series: AI for Entrepreneurs, AI for Marketing, AI for Human Resources, AI for Business Analysis.