Chatbot Development Begins With Me
Date: To be advised
Duration: 1 Day
Course Overview
Chatbots on the mobile phone or website are becoming a popular method to interact with and service an organisation’s customers. This one-day programme will enable participants to build a basic Chatbot with no programming requirements. It is designed for organisations wanting to build and launch a Chatbot service on their web or as a mobile service.
This course is part of Professional Certificate in Digital Marketing and Customer Insights.
Learning Outcomes
At the end of the course, participants will be able to:
- Understand the tools and landscape of the Bot ecosystem
- Build a basic FAQ bot for an organisation
- Deploy the bot into a website or integrate with a bot channel such as Skype, Webchat or Slack
- Handle technical queries with the capabilities to build a useful and relevant Chatbot system.
- Use an online and comprehensive Chatbot system to quickly develop and deploy a real conversation style FAQ Chatbot system at minimal costs.
Tools
Dialogflow
Note: It is COMPULSORY for participants to have a Google Account and Telegram Account set up, and with Google Assistant installed in their mobile phones in order to attend this course.
Who Should Attend
Software Engineers, Programmers, Business Analysts, Data Analysts, Frontline Staff, Customer Service Officers
Prerequisites
Preferably with experience in Python and Google Cloud AI
Facilitators
(Click their photos to view their short biographies)
Dr Edmund Low
Dr Edmund Low
Dr Edmund Low is currently Senior Lecturer with the NUS College at the National University of Singapore.
He has nearly 20 years of academic and professional experience in the use of data-driven tools to answer questions in public health and the environment. His past projects include applying AI techniques and machine learning models for environmental modelling and impact assessment. He currently heads the quantitative reasoning domain at USP, and teaches courses on statistical methods, data science and machine learning. As an educator, Edmund is a multiple recipient of both the USP Teaching Excellence Award, as well as the NUS Annual Teaching Excellence Award. Edmund holds a PhD in Environmental Engineering from Yale University.
Ms Samantha Sow
Ms Samantha Sow
Ms. Samantha Sow is currently a Senior Lecturer in the department of Information Systems and Analytics at the National University of Singapore (NUS). She has over 8+ years of experience in Business Analytics and Data Science and she conducts training for both government agencies and corporate clients. Before joining NUS, she lectures at Temasek Polytechnic, teaching Business Analytics and Data Science to professionals, managers and executives (PMEs). Prior to being an academia, Samantha worked in the research and development at Infineon Technologies. Her research and project areas include Business Analytics, Data Mining, Predictive and Prescriptive Analytics.
She has a passion for engaging and inspiring participants to enhance their workplace analytics capabilities and increase business intelligence quotient within their organisations. Her interests lie in the applications of data analytics, predictive modelling and optimization techniques to derive actionable insights for commercial effectiveness. She is familiar with typical analytics tools such as Python, R, and SAS, SPSS and Tableau. She also has working knowledge in the area of Analytics, Data Science and Machine Learning.
Samantha completed her Master of Education from University of Sheffield and graduated from the National University of Singapore with a Bachelor’s in Engineering, First Class Honours. She has also completed THEC (Teaching in Higher Education) and ACTA (Advanced Certificate in Training and Assessment). She is a member of the adult associate educator (AEN) by Institute for Adult Learning (IAL), Singapore.
Her certifications include:
Microsoft Certified Azure Data Scientist Associate. Microsoft Certified Data Analyst Associate. SAS Certified Predictive Modeller in SAS Enterprise Miner. Tableau Certified Desktop Specialist.
What Our Participants Say
“Well structured and good for beginners. Highly recommended.”
– Jennie Lim Poh Kee
“Good course for ChatBot.”
– Kee Boon King
“This course really guides you to build a simple chatbot.”
– Anonymous
Course Fees
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.
To enquire, email soc-ace@nus.edu.sg
To register, click Register
Course Codes
TGS-2021002739 (Classroom Learning)
TGS-2020501972 (Synchronous e-Learning)
Course Fee Breakdown
Singapore Citizens
39 years old or youngerSingapore Citizen
40 years old or older