AI Foundations for Marketers: 2025 Edition
Workshop recording
Nate Grahek AI Educator @ The Rundown University
6 chapters · 1h 19m · Beginner
About this course
Build practical AI systems for marketing that improve output quality with better context, reusable project libraries, reliable workflows, and focused prototypes.
What you'll learn
- Improve AI Results Diagnose generic or inaccurate AI outputs by improving context, scope, examples, audience details, and success criteria.
- Reuse Marketing Context Build reusable context libraries and projects that preserve company, customer, campaign, and process knowledge for repeated marketing work.
- Prompt with Control Structure AI work sessions that ask clarifying questions, develop ideas progressively, and avoid overloaded conversations.
- Use AI Strategically Apply AI to research, synthesis, critique, drafting, and customer insight work where it can reliably improve marketing speed and quality.
- Automate Repeatable Work Design narrow AI workflows for lead enrichment, proposal support, competitor monitoring, CRM cleanup, and other repeatable operations.
- Prototype Marketing Tools Prototype dashboards, calculators, lead magnets, and internal tool mockups that make marketing decisions and software ideas easier to evaluate.
Course curriculum
1 part · 6 chapters
Your instructor
Nate Grahek AI Educator @ The Rundown UniversityNate is a SaaS founder and Fractional CMO who helps product-driven businesses build marketing systems that actually work — without the fluff. He's spent years helping founders and operators cut through marketing complexity and put the right things on autopilot.
At Rundown University, Nate brings that same hands-on, no-jargon approach to AI education. His workshops and courses focus on practical automation and AI workflows you can deploy the same day — no engineering background required. If you've ever wanted to use AI to get your time back, Nate shows you exactly how.