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Enhance Your Employability with Certified Skills and Courses in Singapore - WSQ , IBF-STS, Skills Certification

Build a Generative AI LLM-Powered Chatbot to Enhance Customer Service

This course is not yet approved for WSQ funding

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.

Learning Outcomes

By end of the course, learners should be able to:

  • 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.

Course Brochure

TBD

Skills Framework

This course follows the guideline of Automation Management in Product Development ICT-TEM-4035-1.1  under ICT Skills Framework

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

No funding is available for this course

Course Code: TPG-2024063640

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$800.00 (GST-exclusive)
$872.00 (GST-inclusive)

Course Date

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


Course Details

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

Course Info

Promotion Code

Promo or discount cannot be applied to WSQ courses

Minimum Entry Requirement

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.

Minimum Software/Hardware Requirement

Softtware: Windows / Mac

Hardware: Laptop

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity. 

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Individual Sponsored Trainee Employer Sponsored Trainee
  • Singapore Citizens or Singapore Permanent Residents aged 21 and above
  • From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.​
  • Trainee must pass all prescribed tests / assessments and attain 100% competency.
  • We reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria.
  • Singapore Citizens or Singapore Permanent Residents who are DIRECT EMPLOYEE of the sponsoring company.
  • From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.​
  • Trainee must pass all prescribed tests / assessments and attain 100% competency.
  • We reserves the right to claw back the funded amount from the employer if trainee did not meet the eligibility criteria.

 SkillsFuture Credit: 

  • Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.

 PSEA:

  • To check for Post-Secondary Education Account (PSEA) eligibility, goto mySkillsFuture portal and search for this course code.
  • Scroll down to "Keyword Tags" to verify for PSEA eligibility.
  • If there is “PSEA” under keyword tags, the course is eligible for PSEA.  
  • And if there is no “PSEA” under keyword tags, the course is ineligible for PSEA. 
  • Not all courses are eligible for PSEA funding.

 Absentee Payroll (AP) Funding: 

  • $4.50 per hour, capped at $100,000 per enterprise per calendar year.
  • AP funding will be computed based on the actual number of training hours attended by the trainee.

 SFEC:

  • If the Training Provider has submitted an enrolment for course fee grant claim in Training Partners Gateway (TPGateway), SSG would be able to derive SFEC funding based on this record. There is no need for enterprise to submit any claim request and the SFEC claim will be automatically generated and disbursed.
  • Where there is no such record, eligible employers are required to submit an SFEC claim after course completion via the SFEC microsite.
  • SkillsFuture Enterprise Credit (SFEC) Microsite 

Job Roles

  • Customer Service Manager
  • Chatbot Developer
  • AI Product Manager
  • Digital Marketing Specialist
  • Customer Experience Strategist
  • IT Support Specialist
  • Web Developer
  • AI Implementation Consultant
  • Technical Support Engineer
  • Chatbot Design Consultant
  • UX/UI Designer for Chatbots
  • Data Analyst
  • Software Engineer
  • Business Analyst
  • Innovation Manager
  • Project Manager
  • AI Researcher
  • Customer Insights Analyst
  • Quality Assurance Engineer
  • E-commerce Manager

Trainers

Dr. Nouar AlDahoul: Dr. Nouar AlDahoul is an AI researcher and developer with a PHD degree from IIUM Malaysia. She has +7 years of hands-on experience in machine learning including deep and reinforcement learning. She has been working as a researcher in many research centers such as UM, IIUM, MMU universities. She has published many papers in different journals and conferences. She has conducted more than 30 classes in Tertiary Malaysia Courses. Her research interests are Deep Learning, Reinforcement learning, computer vision, NLP, Data visualization and analysis, and IoT.

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