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Course Description

Experience Level: Skill Building

Most marketing teams are drowning in AI possibilities but starving for practical implementation. While everyone talks about AI agents transforming operations, few understand the underlying decision-making logic that drives meaningful business results. This creates a "black box" problem where marketing investments in agentic tools remain experimental, stay disconnected from core KPIs, and fail to deliver measurable ROI.

This Workshop bridges the gap between AI experimentation and systematic deployment by providing marketing professionals with a transparent, hands-on look at agentic architecture. We'll move beyond surface-level AI discussions to audit your marketing organization using the proven Levers & Outcomes framework, identifying high-impact automation targets where current investment is disconnected from results. We'll demystify the "black box" by live-walking through a production-grade agent built with LangChain and LangGraph, revealing exactly how these systems categorize inputs, make routing decisions, and execute complex workflows.

We'll then translate this technical understanding into practical application. You'll discover how to express sophisticated agentic logic using plain-language instructions, adapting and running your own versions through no-code tools like Claude Cowork or GPTs. This proves that enterprise-grade AI implementation doesn't require a computer science degree — just the right framework and instruction design. You'll leave with a deep understanding of agentic mechanics and a reusable no-code instruction file ready for immediate deployment in your marketing operations.

Benefits to the Learner

  • Apply the Levers & Outcomes framework to audit your marketing organization and identify high-impact automation opportunities where current investment fails to connect to measurable business results
  • Build a functional AI agent using the Categorize → Route → Act pattern to automate complex marketing decision-making workflows and eliminate manual bottlenecks
  • Design a production-ready, no-code instruction file that translates sophisticated agentic logic into plain-language guardrails for immediate deployment across your marketing operations

Target Audience

  • Marketing operations directors scaling execution with limited headcount
  • Digital strategy leads accountable for integrating AI into existing workflows
  • Product marketing managers automating intelligence and content routing
  • Non-technical innovation VPs needing to demystify "black box" AI tools
  • Growth marketing leads optimizing lead management through automated agentic logic
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Type
Workshop
Dates
Mar 09, 2026 to Apr 15, 2026
Total Number of Hours
3.0
Course Fee(s)
Standard Price $449.00
Section Notes

IMPORTANT WORKSHOP INFORMATION

We’re excited to have you join us. Your Workshop, “Building Your Marketing AI Playbook: From Code to No Code,” will begin at 12:00pm EDT [https://lms.ecornell.com/courses/1916981] on April 15, 2026. On April 15, please log in to your Workshop by 11:55am EDT and click on the “Join Session” button. You will be connected to the live Zoom meeting and will meet your professor and fellow Workshop participants.

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