Business & Management

Commenced

Creative Content Production for Xiaohongshu using Generative AI
生成式AI創作小紅書內容速成班

Course No.
262-149190-01
Course Type
Part-time
Start Date
09/06/2026
Total Hours
12.00
Commenced

Commenced

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Course Detail

  • Schedule

    Tuesday
  • Time

    19:00 - 22:00
  • Venue

    Central Learning Centre
  • Session

    4
  • Instructor

    CUSCS Instructor
  • Level

    General Courses
  • Tuition Fee

    $1,980
  • Language Used

    Cantonese (Supplemented with Putonghua)
  • Closing Date for Application

    Limited seat available, please apply as soon as possible
  • Course Enquiries

    22097752

    27235569

  • Enrolment Enquiries

    2209 0290

Admission Requirement

Participants shall have basic knowledge in using computer, mobile device and Internet.

Introduction

This course is specially designed for SMEs, brand marketers, individual creators, KOLs, and freelancers. It aims to help participants build brand presence on Xiaohongshu (RED), expand into the Chinese Mainland market, or explore career transformation opportunities. Combining theory with practical application, the course offers an in-depth understanding of Xiaohongshu’s platform mechanics and content ecosystem. It also focuses on the use and operation of popular AI tools. Key features include hands-on practice, AI-powered content creation, localisation strategies, and group collaboration—enhancing interactive learning and resource sharing to equip learners with core marketing skills on Xiaohongshu.

Topics

1) Xiaohongshu Ecosystem & Content Strategy – Analysis of platform algorithms, user behaviour, content types, viral headlines and visual elements, and account persona positioning strategies.
2) AI Tools & Prompt Engineering – Selecting suitable AI tools and mastering their application, understanding prompt design principles, and building automated content creation workflows.
3) Group-Based Practical Exercises – Using AI to support creative ideation, topic selection, and hands-on content creation through multi-tool collaboration.
4) Data Analysis and Strategic Development – Understanding key performance indicators, optimising AI efficiency, planning content expansion stages, and developing intelligent operational strategies.