Course Details
A 2-day course, 6 hours per day (12 hours in total), delivered as a hands-on workshop with a capstone project. Beginner to Intermediate level, no AI background required. The course focuses on marketing, service and administration, not medical diagnosis. Learners take home a clinic prompt library, a clinic assistant (Custom GPT/Gem), content and service FAQ templates, and an ethics, advertising and PDPA checklist.
Day 1: AI for Marketing, Content and Customer Service
Section 1: AI in Aesthetic Clinic Work
- An overview of generative AI in aesthetic clinic work and what changes in the process
- AI use cases: marketing, content, images, customer service, CRM and administration
- Key scope: AI helps with marketing and service, not diagnosis or medical advice
- Cautions on beauty-service advertising rules and ethical AI use
Section 2: Prompts and Clinic Brand Tone
- A good prompt structure for clinic work: role, customer group, service and output format
- Setting a consistent clinic brand tone and voice across the team
- Using examples to keep content and communication style consistent
- Building a clinic prompt library for recurring work
Section 3: Marketing and Social Content for Clinics
- Using AI to create content, captions and post plans for social media
- Writing promotions and messages that attract without over-promising or breaking advertising rules
- Tailoring content to each platform and customer group
- Workshop: create a set of clinic promotional content and captions with AI
Section 4: Images and Promotional Media with AI
- Using AI and Canva to create professional clinic images and promotional media
- Guidelines for using before-after images ethically, transparently and with consent
- Cautions on using AI-generated images so they don't over-communicate or mislead
- Workshop: design one clinic image or promotional media with AI and Canva
Section 5: Customer Service and Booking
- Using AI to help answer customer chats and give appropriate basic service information
- Preparing standard answer sets and FAQ for the front desk and service team
- Helping manage bookings and follow up with interested customers
- Workshop: prepare a clinic service message set and booking FAQ with AI
Day 2: CRM, Clinic Assistants, Administration and Ethics
Section 6: CRM and Post-treatment Client Care
- Using AI to help care for clients and follow up appropriately (without medical advice)
- Preparing post-treatment follow-up messages and returning-client care
- Summarizing and categorizing client data for better care (on masked data)
- Workshop: prepare a client care and follow-up message set with AI
Section 7: Chatbots and Clinic Assistants
- Building a Custom GPT or Gem as an assistant answering customer questions on services and promotions
- Embedding service data and FAQ for consistent, on-brand results
- Connecting the assistant to LINE OA and handing off to the team when needed
- Workshop: build one clinic assistant to answer common questions
Section 8: Documents and Clinic Administration
- Using AI to help with documents, forms and clinic admin work
- Summarizing meetings and preparing basic operations reports
- Managing data and documents systematically, being careful with sensitive data
Section 9: Clinic Automation with n8n
- Setting up clinic automation with n8n, such as appointment reminders and confirmations
- Requesting reviews and following up with customers systematically
- Connecting data across channels for a complete customer view, with access control
- Workshop: design one simple automation flow for the clinic
Section 10: Ethics, Advertising, Data Security and PDPA
- Beauty-service advertising rules and ethical communication that doesn't mislead
- Client data is sensitive: what can and cannot go into AI, and masking data before use
- Personal and health data under PDPA and consent for using images and data
- Setting the clinic's responsible AI usage guideline
Section 11: Capstone Project and Real-world Adoption
- Task: set up an end-to-end AI toolkit for the learner's clinic work, from marketing and content and customer service to a clinic assistant and client care
- Present the work and get feedback from the instructor and peers
- A first-30-days adoption plan and setting up ethical AI use for the whole clinic team