AI Digital Human Application for Education, Customer Service and Presentation
About This Course
The WSQ AI Digital Human Application for Education, Customer Service, and Presentation course equips learners with in-depth knowledge of AI digital human technology. Participants will explore the strengths, limitations, and feasibility of AI digital humans across industry sectors. The course provides insights into industry use cases for education, customer service, and business presentations. Learners will also acquire skills to customize AI digital humans for specific industry needs, ensuring relevance and efficiency.
This course emphasizes hands-on learning, guiding participants to analyze AI digital human performance and design more effective AI solutions. Learners will explore the core principles of AI algorithm design, enhance AI digital human capabilities, and balance automation with human-centric values. Ethical AI practices are also a core focus, ensuring responsible and effective AI implementation. By the end of the course, participants will be equipped to assess, design, and improve AI digital human technology for use in education, customer service, and business presentations.
What You'll Learn
LO1: Analyze the strengths, limitations, and feasibility of AI digital human technology within industry contexts.
LO2: Evaluate the performance of AI digital human applications and analyze their effectiveness.
LO3: Assess the design and improvements for AI digital human technology.
Topics Covered:
Topic 1: Introduction to AI Digital Humans for Business and Education
• Overview of AI digital human technology
• Strength and limitations of using AI digital human technology
• Industry use cases of using AI digital human technology
• Tailoring AI digital humans for sector-specific needs.
• Designing an AI digital human on various AI platforms
Topic 2: Analyze AI Digital Humans for Various Use Cases
• Core principles of AI algorithm design tailored for educational and business use cases.
• Analyzing AI digital humans for diverse educational and business use cases – strength and limitations
• Case studies: Efficiency improvement using AI digital humans.
Topic 3: Designing and Implementing AI Digital Humans
• Enhancing AI digital humans capabilities
• The efficiency-accuracy tradeoff in AI digital humans algorithms.
• Balancing automation with human-centric values.
• Ensuring ethical AI practices using AI digital humans.
Entry Requirements
Knowledge and Skills
• Able to operate using computer functions
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
Target age group: 21-65 years old