AI digital-human comic dramas and short dramas are becoming one of the hottest tracks in the self-media field in 2026, with the lowest barrier to entry and the fastest monetization. However, many beginners face common dilemmas when entering: they cannot understand market trends and do not know which direction to take; scripts, storyboards, characters, and scene designs are rough; AI video model generation frequently breaks down, voiceover and music pairing is chaotic, and post-production editing skills are weak. More importantly, many creators only know how to make content but do not know how to turn their works into revenue.

This 30-day hands-on training camp is designed to thoroughly solve the above problems. The course abandons empty theory and centers entirely on high-intensity practical output, from market analysis, script and storyboard, character and scene design, video model hands-on operation, and storyboard fine-tuning, to post-production voiceover, audiovisual language breakdown, and CapCut editing techniques, and finally extending to the complete construction of a self-media business loop. Every step has clear operation templates, combined with mid-course live Q&A and final assignment review, taking you step by step through the complete creation and monetization path from 0 to 1. Whether you are a side-hustle enthusiast with no foundation at all or a self-media blogger looking to improve your skills, you can quickly master the full set of AI digital-human comic drama creation and monetization skills within 30 days.

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• 1.AI short drama market analysis + full process hands-on operation
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• 2.Asset design (script and storyboard + characters + scenes)
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• 3.视频模型实战
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• 4.Fine-tuning of storyboards
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• 5.半程直播答疑
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• 6.Full process of AI short drama post-production voiceover
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• 7.AI Short Drama Audiovisual Language Breakdown
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• 8.CapCut: From Beginner to Advanced
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• 9.Complete Process Breakdown of AI Short Drama Case Studies
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• 10.Self-Media Business Closed Loop Operational Capability Explained
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• 11.Course Completion - Final Project Review
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