Natural Language Processing Developer (NLPD)

What Our Learners Say
Salvador Roel Rubi
Salvador Roel Rubi
Sharon Tomo-Bustamante
Sharon Tomo-Bustamante
This is my second time to attend a training by Casugol and both times I was able to get something from it which can be applied to my current occupation. Dwayne is very patient and attends to your question, which is a good quality of how a trainer should be. Also, even at the last minute request, he extended to give way to our company's townhall.. you ought to try them!
Shiella Marie Matuguina
Shiella Marie Matuguina
Awesome to Learn, Thanks Sir Dwayne.
Cliff Balayan
Cliff Balayan
Good beginner class to learn the foundation of the Data Analytics!
Jen
Jen
Friendly trainer. Always stopping to ask if we have any questions and asking us questions to make the lesson interactive.
Mindy Tan
Mindy Tan
Superb training experience!
NG LAY HONG
NG LAY HONG
Lilian Tan
Lilian Tan
Elaine Chan Wai Kuen
Elaine Chan Wai Kuen
Nazrul Azmi
Nazrul Azmi
Syamil Ani
Syamil Ani
Very in depth seminar conducted by Mr Dwayne Ong on CDTP course. We appreciate your time and support for the past 2 days on the course. Mr Dwayne was very knowledgeable and offered very valuable information. Great tools to apply for organizations moving towards Digitalizations
Bahagian Pengambilan Pelajar IPT
Bahagian Pengambilan Pelajar IPT
Very informative class. Participants able to learn latest trend in digital trend
Iman Cipta
Iman Cipta
It was an amazing experience. A very interesting learning experience outside my expertise
hamizan malek
hamizan malek
Nice experience on this training. Thank you.
MengKeong San
MengKeong San
Machine learning is very interesting
Nurlaila
Nurlaila
Esther Sihuraa
Esther Sihuraa
Emanuel Antonius
Emanuel Antonius
Learn enjoy with CASUGOL😁
Afri Official
Afri Official
Very nice
Khevind Adrian
Khevind Adrian
ferdy santoni
ferdy santoni
Jonatan Abednego
Jonatan Abednego
Adi Gunawan Lase
Adi Gunawan Lase
Leonardo
Leonardo
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Upcoming Batches
Schedule Time (SGT / UTC +8) Sessions Date
Full-Time 9:30am to 5:30pm
(Daily)
5-Sessions 8 to 12 Nov | 10 to 14 Jan | 14 to 18 Mar
Register Here
Course Information
  • Duration: 5 Day / 40 Hours

  • Certification: Participants will receive a Certificate of Competency upon successfully completing the course and passing the examination

  • Who Should Attend: Data Analyst, Finance Analyst, HR Analyst, System Analyst, CIO, or Anyone who are interested in pursuing a career in the areas of Artificial Intelligence
Course Objective

Acquire advanced knowledge and technical competency Natural Language Processing (NLP) and Deep Learning.

Learn the key components in Natural Language Processing (NLP), semantic analysis, and featured engineering with Python Programming.

Pre-Requisite

It is preferred that participants successfully completed and pass Certified Machine Learning Expert (CMLE) or Python Programming Essentials (PPE)


Examination

Participants are required to attempt an examination upon completion of course. This exam tests a candidate’s knowledge and skills related to Natural Language Processing (NLP) and Python Programming based on the syllabus covered

Module 1 Introduction to Natural Language Processing (NLP)

Topics Covered
  • What is Natural Language Processing (NLP)
  • Applications of Natural Language Processing (NLP)
  • Using Natural Language Processing with Python
  • Understanding and setting up Python NLTK package
Module 2 Understanding Data For Natural Language Processing (NLP)

Topics Covered
  • Introduction to Corpus and Corpora
  • Categorical and Qualitative Data Attributes
  • Numerical and Quantitative Data Attributes
  • File Formats for Corpora
  • Dataset Preparation for NLP Application
  • Web scraping
Module 3 Introduction to Morphological Analysis

Topics Covered
  • Understanding Morphology
  • Morphemes and Stem
  • Using Morphological Analysis to Identify a Word
  • Classification of Morphemes
  • Lexical Analysis
  • Tokens and Part of Speech tags
  • Stemming vs Lemmatization
  • Performing Syntactic Analytics
Module 4 Performing Semantic Analysis

Topics Covered
  • Semantic Analysis
  • Understanding Lexical Semantics
  • Hyponymy and hyponyms
  • Application of Semantic Analysis
Module 5 Ambiguity in Natural Language Processing (NLP)

Topics Covered
  • What is Ambiguity
  • Lexical Ambiguity
  • Syntactic Ambiguity
  • Semantic Ambiguity
  • Pragmatic Ambiguity
  • Performing Pragmatic Analysis
Module 6 Pre-Processing in Natural Language Processing

Topics Covered
  • Handling Corpus-Raw Text
  • Handling of Corpus-Raw Sentences
  • Preprocessing Essentials
  • Customized Preprocessing
Module 7 Featured Engineering and NLP Algorithms

Topics Covered
  • What is feature engineering?
  • Parsers and Parsing in Natural Language Processing (NLP)
  • POS Tagging and POS Taggers
  • Name Entity Recognition
  • Introduction to n-grams
  • Bag of Words
  • Statistics for NLP
  • Probabilistic Theory for NLP
Module 8 Key Components of Featured Engineering

Topics Covered
  • What is TF-IDF
  • Using of textblob
  • Python Scikit-learn
  • Vectorization, Normalization
  • Probabilistic Models
  • Indexes
Module 9 Advanced Featured Engineering Techniques

Topics Covered
  • Understanding Recall Word Embedding
  • Distributional Semantics with word2vec
  • Unsupervised Distribution Semantic Mode
  • Blackbox to Whitebox
  • Core Components of word2vec Model
  • Logic of word2vec Model
  • Neural Network Algorithm



Natural Language Processing Developer (NLPD) involves rigorous usage of real-time case studies, hands-on exercises and group discussion

What Past Participants Say
The examples and cases shared in class are delivered in a clear, structured and easy to understand manner. It provide me with confidence to kickstart my own Machine Learning project.

Falhuddin Bin Nurdin

This course provide me with the detailed information required and essential tips how to explore more into the subject. The trainer is very helpful throughout the course. With his encouragement, I can understand the topics with ease even when I am not experience in programming.

Shalini Karthik

Why CASUGOL

Customization of Programs for specific industry, organisation, government agencies, statutory boards.


Flexible programmes designed to cater to the individual needs of participants, whether for professional upskilling, or for general interest.

Benefit from contribution from leading Industry Experts, Academics, and Researchers from across the world.


Opportunities for employers to develop their workforce and for individuals to enhance their career.

Dynamic learning environment that providing participants with professional networking opportunity.


Online support for participants after the training.

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