AI Marketing Automation and Agentic Workflows
Design human-governed AI workflows for research, content, lead operations, campaign execution, and improvement
| Course Details | |
|---|---|
| Title | AI Marketing Automation and Agentic Workflows |
| Category | Marketing |
| Sub Category | Digital Marketing |
| Creator Name | Dr. Law Payne |
| Language | English |
| Rating | 0 |
| Length | 0:34 Hours |
| Coupon Status | Active |
Description
This course contains the use of artificial intelligence.
Artificial intelligence can increase the speed of marketing, but speed without strategy creates more noise. AI Marketing Automation and Agentic Workflows gives professionals a structured, evidence-based system for using AI while protecting judgment, accuracy, customer trust, and brand integrity.
This course is designed for marketing leaders, automation specialists, operations teams, agencies, founders, and product marketers. It moves beyond isolated prompts and disconnected tactics. Students learn how to define business outcomes, organize the right context, develop repeatable workflows, evaluate output quality, maintain human review, and connect activity to measurable results.
Across five substantial lectures, Dr. Law Payne explains both the strategic logic and the practical execution. Each lecture includes a framework, realistic application, quality controls, and an assignment that can be used with a real organization, campaign, client, or professional goal.
Dr. Payne brings academic depth and extensive practical experience. He holds degrees in Business Administration and Marketing, Educational Psychology, Business, and a Doctor of Business Administration specializing in Organizational Leadership and Development. His professional background includes nine-figure entrepreneurship, major performance-marketing awards, more than one billion dollars in managed sales, and over fifteen years of teaching, coaching, and mentoring.
By the end of this course, students will possess a working Marketing Automation operating system and a ninety-day plan for responsible execution and continuous improvement.
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