As a marketing professional, you are increasingly expected to understand how data and AI influence decisions, performance, and customer experiences. AI now shapes everything from targeting and personalization to experimentation and execution, making it critical to understand how these tools fit into everyday marketing practice, even if you're not building them yourself.

In this course, you will explore how organizations move from fragmented data to integrated, AI‑enabled marketing systems. You'll learn core concepts in data readiness, analytics, experimentation, automation, and responsible AI use, including emerging applications such as generative and agentic AI. These concepts can be directly applied to answer engine optimization (AEO) and generative engine optimization (GEO), two rapidly evolving approaches that are reshaping how brands appear, compete, and build visibility in AI-driven search experiences.

By the end of the course, you will be able to assess analytics and AI opportunities, apply practical frameworks to real‑world marketing challenges, and communicate insights across teams. You'll be prepared to support data‑driven marketing and decision making without the need for additional materials, software, or specialized tools.

 

How It Works

Course Length
3 weeks

Effort
3 to 5 hours of study per week

Format
100% online, instructor-led
  • Marketing managers
  • Performance marketers
  • Content marketers
  • Marketing automation specialists
  • Product managers
  • Marketing data analysts
  • Brand managers
  • CMOs
  • Entrepreneurs
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