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Professional Certificate in Text Processing

Date: 
Natural Language Processing Fundamentals: 4 Oct 2022 | 9am-5.30pm | Online
Sentiment Analysis Fundamentals: 7 Oct, 11 Oct 2022 | 9am-5.30pm | Online
Deep Learning Fundamentals: On Demand
Advanced Deep Learning: On Demand

Duration: 7 Days

Course Objectives

This Professional Certificate will equip learners with the following competencies:

  • Provide theoretical foundations to Natural Language Processing (NLP) and build NLP applications using basic Machine Learning
  • Provide participants with the theoretical foundations to text mining, sentiment analysis and building sentiment classifiers using Machine Learning
  • Equip participants with the skills to mine data from the web and perform sentiment analysis on the data
  • Acquire basic knowledge of deep neural networks and understand the applications of deep learning and its implementation
  • Acquire basic skills on how to design and implement text classification, opinion mining systems and convolutional neural networks in Python using Tensorflow and Keras packages.
  • Articulate advanced deep learning models, their strengths and constraints, and their applications in different businesses
  • Have basic skills in using deep learning algorithms to implement simple Natural Learning Processing (NLP) systems.

Job Role Readiness

It will prepare learners in the following job roles to perform their responsibilities more effectively/ It will prepare learners for the following job roles:

  • Artificial intelligence/Machine Learning Executives and Engineers, Data Analysts

Who Should Attend

IT Professionals who plan to be AI / ML Engineers and Data Analysts

Prerequisites

At least a polytechnic diploma

Course Conveners

(Click their photos to view their short biographies)

ccccc Xavier Bresson

Assoc Prof Xavier BressonAssoc Prof Xavier Bresson

ddddd Lek Hsiang Hui

Dr Lek Hsiang HuiDr Lek Hsiang Hui

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

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.

To enquire, email soc-ace@nus.edu.sg

To register, click Register

Course Code:
Natural Language Processing Fundamentals: TGS- 2022012348 (Classroom Learning) / TGS-2022012353 (Synchronous e-learning)
Sentiment Analysis Fundamentals: TGS-2022012367 (Classroom Learning) / TGS-2022012367 (Synchronous e-learning)
Deep Learning Fundamentals: TGS-2022012786 (Classroom Learning) / TGS-2022012789 (Synchronous e-learning)
Advanced Deep Learning: TGS-2022012788 (Classroom Learning) / TGS- 2022012752 (Synchronous e-learning)

For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:

Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Strategic Tech Mgt Institute (Faculty/Department / Unit)

Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.