Kellogg launches hands-on AI course to prepare MBA students for marketing roles

A new MBA course puts marketing students to work with AI tools like ChatGPT and Gemini across real tasks-research, segmentation, and ad campaigns. Hands-on practice, not theory, is what separates teams that gain an edge from those that fall behind.

Published on: Apr 16, 2026
Kellogg launches hands-on AI course to prepare MBA students for marketing roles

Marketing Leaders Need Hands-On AI Experience, Not Just Theory

A new MBA course is teaching marketers how to actually use AI tools across the full marketing process, from customer research to campaign execution. The course, AI for Marketers, moves beyond conceptual training to put students in front of frontier AI models like Gemini, ChatGPT, and Claude to solve real marketing problems.

The shift matters for executives. Most companies treat AI as a productivity tool for automating repetitive tasks. The marketers who gain competitive advantage will be the ones who combine AI's speed with strategic thinking and judgment calls that machines can't make.

How the Course Works

Students start with a marketing simulation that shows what a fully AI-powered marketing function looks like. They then spend four weeks in a simulated marketing internship where they must use AI at every stage: customer research, audience segmentation, synthetic customer profiles, product development, and ad campaigns.

The hands-on approach produces results. Students report that applying AI directly through coursework delivered more value than lectures alone. One student said the course "created an environment where experimentation was not just promoted, but expected."

Four Practical Takeaways for Strategy Leaders

  • Use AI for growth, not just productivity. Most companies focus on automating tasks. The opportunity lies in using AI to identify new revenue streams and internal growth channels.
  • Build automated workflows. After using AI to complete a task, set up automation so the next person doesn't start from scratch. This compounds efficiency gains.
  • Synthetic personas save time and money. Testing product ideas against AI-generated customer profiles before investing in real market research reduces risk and accelerates decisions.
  • Prompts determine output quality. The difference between mediocre and useful AI results often comes down to how you phrase the request. Even AI models can help you refine your prompts.

What Changes for Marketing Leaders

AI raises both the floor and ceiling for marketers. It raises the floor by making high-quality first drafts and analysis available to anyone, not just specialists. It raises the ceiling by letting experienced marketers move faster, test more options, and spend more time on strategy and judgment.

The marketers who will stand out are those who know how to combine AI's speed and scale with human creativity and leadership. That requires more than reading about the tools-it requires using them.

For strategy and executive leaders, the implication is clear: your marketing team needs practical experience with these tools now. The gap between teams that have hands-on AI experience and those that don't will only widen.

Explore AI for Marketing resources and AI for Executives & Strategy courses to build these capabilities within your organization.


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