Training Summary
*This training will be conducted in Chinese.
*The online training @ Teams link will be sent to applicants before the course starts.
In today's AI-driven workplace, true competitive advantage lies not in what you know, but in how effectively you can learn and apply new knowledge. Traditional learning approaches often create three critical gaps:
- Struggling to filter reliable insights from the vast, generic output of AI
- Lacking a clear system to connect and organize information into a usable structure
- Failing to turn AI-assisted output into reusable, personal job skills
This course is designed to close these gaps. Moving beyond basic tool tutorials, it helps you build a transferable system for human-AI collaboration. Centered on the "Three-Step Internalization Method," the program applies this framework to four key work scenarios: writing emails, analyzing documents, processing data, and generating work reporting PPT. Through a structured Learn โ Apply โ Internalize cycle, you will gain concrete methods to not only use AI more efficiently but also make the vital shift from merely using a tool to genuinely owning an enhanced skill. The result is a consistent ability to turn new technology into measurable results and lasting professional advantage.
Course Objectives:
- Master a Core Methodology: Apply the "Three-Step Internalization Method" to systematically filter, integrate, and internalize AI outputs into your personal knowledge system
- Establish Tool Usage Standards: Master the strategy for selecting and the key points for the safe, complaint, and efficient use of workplace AI tools
- Enhance Efficiency in Four Key Scenarios: Use AI tools to improve the quality and efficiency of your work in English email writing, professional document analysis, data processing, and PPT creation
- Build a Capability Transfer System: Convert AI-assisted outcomes into your own learning and working abilities through a structured "Learn-Practice-Internalize" loop across the four core scenarios
- Enhance Core Professional Competitiveness: Develop a competitive edge in changing environments through human-AI learning collaboration
Notice: The training invoice will be issued and sent to the registration email within 7 working days after the training. Cancellation policy: If you are unable to attend the training you have registered for and paid, please cancel your registration at least 5 working days in advance. If you fail to notify AmCham China of your cancellation in time, we will charge the actual course fee. Thank you for your cooperation and support.
Contact: Jennifer Xu (jxu@amchamchina.org)


