Build a Generative AI LLM-Powered Chatbot to Enhance Customer Service
About This Course
This comprehensive course equips participants with the expertise to evaluate, build, and optimize Large Language Models (LLM) powered chatbots, aimed at transforming customer service operations. Participants will delve into the fundamentals of Generative AI (GAI) and LLM, understand the practical applications of LLM-powered chatbots, and explore various no-code chatbot builders to compare their strengths and limitations. The course covers the essential steps for creating a high-performing chatbot, including using visual builders, testing, and optimizing chatbot performance to ensure efficient customer interactions.
Furthermore, the course provides insights into deploying chatbots across different channels, including the basics of JavaScript for website integration, and evaluates the benefits and trade-offs of implementing such technologies in customer service. By the end of this course, learners will be equipped with the knowledge and skills to apply optimization techniques and deploy a generative AI-powered chatbot that enhances customer interaction and service.
What You'll Learn
LO1: Evaluate various LLM-powered chatbot builders to compare their strengths and limitations.
LO2: Apply optimization techniques to enhance the performance of LLM-powered chatbot.
LO3: Evaluate the benefits and trade-offs of deploying LLM-powered chatbot.
Topics Covered:
Topic 1 No-Code LLM-Powered Chatbots
• What is Large Language Models (LLM) and Generative AI (GAI)
• Use cases of LLM-powered chatbots
• Evaluate various No-code LLM-powered chatbot builders
Topic 2 Build a LLM-Powered Chatbot
• Fundamentals of building a LLM-powered chatbot with visual chatbot builder
• Testing the performance of chatbot
• Optimizing the chatbot’s performance
Topic 3 Deploy and Evaluate LLM-powered Chatbot
• Deploy chatbot on various channels
• Basic Javascript script for website deployment
• Evaluate the benefits and trade-offs of implementing chatbot
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• 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 to 65 years old