Course Overview

Domain
Infocomm Technology
Format
Short Course
Duration
3 days over 2 weeks
Fee Subsidy
Up to 90% SF Funding

Natural Language Processing (NLP) has become one of the hottest areas in Artificial Intelligence (AI).

With the widespread availability of tools and services like ChatGPT, the demand for NLP expertise has surged across all industries, from technology to arts and humanities, and among organisations ranging from multinational corporations to small 'spare room' startups.

This course is specifically designed to upskill participants in NLP by providing them with the fundamentals of this technology and fostering familiarity with the technological landscape. Throughout the course, learners will acquire useful hands-on skills and knowledge to extend their capabilities.

A strong grasp of the fundamentals is crucial for comprehending the potential of NLP and understanding the cost and effort involved in its practical deployment. As part of the general AI trend, NLP is evolving rapidly. Hence, to pursue a career with confidence and assurance in this field, a solid foundation is essential.

Who Should Attend

  • Individuals who are curious about the domain and technology and wish to delve deeper into the subject. This course will benefit managers, IT professionals and data scientists, offering them insights and knowledge to leverage the potential of this field effectively.
Prerequisites
  • Some general knowledge of data analytics, data handling, and programming (including basic Python competency) is preferred but not essential

What You Will Learn

  • Overview of NLP
  • Text Encoding and Processing
  • Regular Expressions
  • Sequence Models
  • Language Models
  • N-grams
  • Hybrid Models
  • Sentiment Analysis
  • Topic Models
  • Word Representations and Embeddings
  • Basics of Neural Networks
  • Transformers
  • Strengths and Limitations of Language Models

Teaching Team

Nitin Indurkhya
Nitin Indurkhya

Associate Professor, Infocomm Technology, Singapore Institute of Technology

View profile

Schedule

Time Dates
9:00 am - 6:00 pm 23 Nov, 30 Nov, 7 Dec 2023

Certificate and Assessment

A Certificate of Participation will be issued to participants who

  • Attend at least 75% of the course
  • Undertake and pass non-credit bearing assessment during the course

Fee Structure

The full fee for this course is S$2,943.00.

Category After SF Funding
Singapore Citizen (Below 40) S$882.90
Singapore Citizen (40 & Above) S$342.90
Singapore PR / LTVP+ Holder S$882.90
Non-Singapore Citizen S$2,943.00 (No Funding)


Note: All fees above include GST. GST applies to individuals and Singapore-registered companies.

arrow--right
Funding
Learn more about funding schemes available
arrow--right
Learn for Life
The Learn for Life token may be used for this course

Course Runs

There are no upcoming course runs at the moment.

Subscribe to our mailing list to learn about the latest dates as soon as they become available.

SUBSCRIBE NOW

Related Insights

Participant Story
Learning for Life Series - Seaw Ker Boon

13 May 2021

insights-SeawKerBoon

He may have already traded in his student card for a staff pass, but SIT alumni and staff member Seaw Ker Boon chose to head back to the classroom to become a student once again. The aspiring software architect shares why he attended the Machine Learning courses under the SITLEARN programme.

tag
AI and Machine Learning

You May Also Like

Infocomm Technology
Machine Learning
csm-appliedcomputing-banner

Taught in Python, this specialised micro-credential covers supervised and unsupervised machine learning, as well as recommendation systems.

calendar-day
06 Jan 2025
clock-five
3+ months
delivery-mode
Blended
dollar-sign
SGD $9,868.86
Up to 90% SF Funding
Stackable towards:

Bachelor of Science (Honours) in Applied Computing (via the CSM Pathway)

tag
AI and Machine Learning, Competency-based Education
Infocomm Technology
Artificial Intelligence in Broad Strokes
learnhowtoimplementiotbootcamp

This course demystifies machine learning concepts and helps you gain technical grounding and foresight for digital transformation in business.

calendar-day
16 Jan 2025
clock-five
2 days
delivery-mode
In-person
dollar-sign
SGD $1,744.00
Up to 90% SF Funding
tag
AI and Machine Learning, Computer Ethics and Privacy
Engineering
Machine Learning and AI Data Analytics for the Semiconductor Industry
Data Analytics for Engineers

Learn to address semiconductor manufacturing complexities with AI and ML and gain hands-on experience using Python programming.

calendar-day
07 Feb 2025
clock-five
13 days over 3 months
delivery-mode
In-person
dollar-sign
SGD $7,793.50
Up to 90% SF Funding
tag
Data Science and Analytics, AI and Machine Learning
Infocomm Technology
Machine Learning II: ML Fundamentals and Supervised Learning
machinelearningoneandtwo

This course establishes math and programming foundations for Machine Learning. It covers supervised learning techniques, Python programming and problem-solving. It is mapped to Smart Industry Readiness Index.

calendar-day
To be advised
clock-five
3 days
delivery-mode
To be advised
dollar-sign
To be advised
Up to 90% SF Funding
tag
AI and Machine Learning, Data Science and Analytics
Infocomm Technology
DSF6010 Application of Data Engineering
postgraddataengandsmartfactory

This module trains you in data wrangling using Python, creating and working with SQL and NoSQL databases, big data processing with Apache Spark, and machine learning with sklearn, preparing them for an entry-level position in data engineering.

calendar-day
To be advised
clock-five
6 days
delivery-mode
To be advised
dollar-sign
To be advised
Up to 90% SF Funding
Stackable towards:

Postgraduate Certificate in Data Engineering and Smart Factory

tag
AI and Machine Learning, Data Science and Analytics
Infocomm Technology
Intelligent Process Automation Fundamentals
course-IntelligentProcessAutomationFundamentals-banner

Learn Microsoft Power Apps and Automate for efficient business processes, with hands-on app development and automation training.

calendar-day
To be advised
clock-five
2 days
delivery-mode
To be advised
dollar-sign
To be advised
Up to 90% SF Funding
tag
AI and Machine Learning, Business Management
CM-OP-202307000025