Course No.
261-149190-01
Course Type
Part-time
Start Date
06/03/2026
Total Hours
12.00
Enrol Now
Enrol Now
Course Detail
-
Schedule
Friday -
Time
19:00 - 22:00 -
Venue
Central Learning Centre -
Session
4 -
Instructor
CUSCS Instructor -
Level
General Short Courses -
Tuition Fee
$1,980 -
Language Used
Cantonese (Supplemented with Putonghua) -
Closing Date for Application
Enrolment deadline is 10 calendar days before the course commencement date. Late enrolment will only be considered if there are still vacant places.
-
Course Enquiries
-
Enrolment Enquiries
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 Mainland China 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.
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.