
Posted:April 9, 2026 (December Course Recording)
\🏷️ Course Type:AI Marketing / IP Operations / Private-Domain Ops / Automated Closing
\Suitable AudienceIP operators, launch/closing players, private-domain operators, entrepreneurs, marketing leads
\🚀 Course Features:Practice-Oriented + Business-Flow Underlying Logic + Full-Chain Loop + Operator Systematic Play
\In today's flood of AI tools, most courses only teach you 'how to use tools' while ignoringhow to deeply embed AI into business flow to achieve real commercial growth . Ge ZhangMen's AI+IP Ultra-Operations Practice Camp is different—it comes fromthe systematic play that ten-million-revenue ops teams use every day —not simple tool teaching, buta complete 'content→product→close' automated loop solution。
\This course is designed fordesigned for operators and launch/closing players , striking directly at the core of efficiency and monetization. On thecontent side , you'll learn to use AI to 'generate Moments/short-video scripts in 3 minutes,' easily doing full-platform (short video, official account, Xiaohongshu) content updates solo. On theproduct side , master extreme-speed methods for AI-assisted design, naming, pricing, and packaging. On theclosing side , unlock automated sales scripts and live-script optimization tricks for big conversion lifts.
\The course starts fromAI+business-flow underlying logic , using positive/negative cases to show you the essence of AI commercialization. Then,step through the complete AI+public/private-domain chain , and teach you to 'AI-ify' personal products or signature skills, building dedicated agents. Finally, coached by mentors,design your own AIP business model and complete a project pitch . After this course, you won't own a pile of scattered tools but ahigh-efficiency, automated, replicable AI-driven business-growth system。
\💡 Learning Tips:
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The content of the tutorial is based on the industry practice at the time of release, and it is recommended to combine the latest rules of the current platform
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Flexibility to apply what you learn for optimal learning.