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Xiaohongshu educational material PPT is a niche segment within Xiaohongshu virtual materials, and it is currently a project that ordinary people can relatively easily use to quickly validate a product direction through the real market. Its demand scenarios are clear: around a teaching scenario, create an educational material PPT, list it for testing, and continuously optimize it based on real market feedback. There are two main reasons for choosing educational material PPT this time: in the short term, there is a clear demand window during the back-to-school season; in the long term, subject-specific niche segments also have room for sustained operation. The time window is from mid-August to mid-September each year, when demand for first lesson of the semester, parent meetings, themed class meetings, and freshman orientation education surges. Past project historical results can be referenced: the highest monthly income was 60K, and using AI to make PPT in three minutes earned 4k+. Through 21 days of systematic practical training, you will fully master the entire chain process from Xiaohongshu account tool preparation, back-to-school season product selection, AI original PPT creation, to product packaging and listing, and Xiaohongshu image-text customer acquisition. The course particularly emphasizes the efficient application of AI tools, with AI assistance throughout topic analysis, material organization, page outline design, visual production, and file processing, greatly improving content production efficiency. It is accompanied by a complete Xiaohongshu note image-text production tutorial to help you accurately acquire target users and achieve continuous product orders. The advanced section also provides Agent automated workflow setup, upgrading your PPT production from individual creation to AI team collaboration, truly achieving batch and automated production.

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The course adopts a step-by-step learning path, from overall project understanding to tool and account preparation, from AI original content creation to product packaging and listing, from note image-text production to market feedback optimization, and then to long-term niche segment exploration and Agent process automation. Each stage provides detailed practical demonstrations and assignment guidance to ensure that students complete the 0-to-1 product closed-loop setup within 21 days. The course also specially plans long-tail subject-specific directions after the back-to-school season, including subject-synchronized courseware, knowledge point materials, unit materials, midterm and final review, and other sustainable operation directions, helping you build long-term and stable virtual material monetization capability.

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• 1.Why launch the AI original virtual product voyage
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• 2.Voyage cycle and learning goal planning
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• 3.Detailed explanation of the overall project operation process
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• 4.21-day voyage assignment arrangement
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• 5.内容出品人介绍
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• 6.Full process of tool and account preparation
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• 7.Prepare delivery tools and get AI running
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• 8.Use advanced tools such as Canva, Codex, and Hermes as needed
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• 9.Back-to-school season track selection and topic direction
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• 10.Topic selection for first lesson of the semester themed materials
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• 11.Material direction for back-to-school themed class meetings
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• 12.Topic selection for freshman orientation and school-stage transition
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• 13.Topic selection for back-to-school parent meetings, military training, and Teachers' Day
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• 14.Planning long-tail subject-specific directions after the back-to-school season
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• 15.Methods for preparing basic content materials
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• 16.Complete process of using AI to generate PPT page outlines
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• 17.Finding visual references on Huaban and Xiaohongshu
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• 18.PPT slide generation and design tips
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• 19.Lesson-plan and transcript generation methods
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• 20.Full process of finished product output and delivery
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• 21.Product type gameplay and packaging ideas
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• 22.Back-to-school season themed courseware and daily subject-specific courseware
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• 23.Product testing methods and strategies
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• 24.Product title and main image design
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• 25.SKU setup and product-description writing
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• 26.Image material acquisition and scene production
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• 27.Techniques for building a background material library
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• 28.Classification and analysis of Xiaohongshu traffic notes
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• 29.Methods for finding search keywords
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• 30.Techniques for AI batch generation of note content
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• 31.Methods for producing note titles and body text
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• 32.Diagnose product issues based on data
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• 33.Optimization strategies for different types of feedback
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• 34.Pre-sale testing and reducing trial-and-error costs
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• 35.Continuously expand directions based on test results
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• 36.Long-term direction exploration and planning
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• 37.Underlying logic of product selection and niche directions
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• 38.K-12 subject materials and higher-education teaching materials
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• 39.Expanding into industry-experience-based material directions
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• 40.Summary of common pitfalls to avoid
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• 41.Using agents to boost output and efficiency
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• 42.Application of Codex in the PPT production workflow
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• 43.Building Hermes and agent workflows
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• 44.Real cases of multi-agent collaboration
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• 45.Editable PPT handling solutions with Canva
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💡 Learning Tip:Content reflects industry practices at time of publication. Please refer to the latest platform rules when learning.

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