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HRD Corp Approved Training Provider Malaysia - Industrial 4.0 Certification Training and Education

Natural Language Processing (NLP) with Python and SpaCy

Tertiary Courses proudly presents its cutting-edge course on Natural Language Processing (NLP) using Python and SpaCy. Venture into the core realms of NLP, exploring Lexical Attributes such as POS, Parsing, and NER. This course ensures a comprehensive understanding, laying a solid foundation upon which you can build your NLP expertise. From understanding word similarity comparisons to leveraging pre-trained statistical language models, every module is finely tuned to offer the best-in-class knowledge and hands-on experience.

As the course progresses, delve into the intricacies of SpaCy's pipelines, the power of text classification, and the innovation behind Attention mechanisms. Plus, grasp the capabilities of the transformer-based pipeline, setting you at the forefront of modern NLP techniques. Guided by our experienced trainers, this course is not just about learning but mastering the art of NLP. Join us and be part of the next generation of NLP experts, ready to make transformative changes in the world of linguistics and artificial intelligence.

Certificate

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

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M670

Course Booking

MYR1,000.00

Course Date

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Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to sales@tertiarycourses.com.my 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 Overview of NLP and Deep Learning

  • Overview of Natural Language Processing (NLP)
  • Applications of NLP
  • Deep Learning Approach to NLP
  • NLP Frameworks

Topic 2 Language Modeling

  • Introduction to SpaCy
  • Tokenization and Stop Words
  • Pre-trained Statistical Language Models
  • Part of Speech (POS) & Syntactic Dependency
  • Named Entities Recognition (NER) and Lemmatization
  • Rule Based Matching

Topic 3 Word Embedding and Similarity Comparison

  • Overview of Word Embedding
  • Comparing Similarity

Topic 4 NLP Pipelines and Text Classification

  • Language Processing Pipeline
  • Create Custom Component
  • Model Training and Update
  • Text Classification

Topic 5 Attention and Transformer Based Pipeline

  • Basics of Recurrent Neural Network (RNN)
  • Introduction to Attention and Transformer
  • Transformer-Based Pipelines

Course Info

Prerequisite:

Basic knowledge of Python is assumed

HRDF Funding

Please refer to this video https://youtu.be/Kzpd-V1F9Xs

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The application status will be updated via the employer’s dashboard, email, and the e-TRiS inbox.

Job Roles

  • NLP Engineer
  • Data Scientist (specializing in text data)
  • Machine Learning Engineer (NLP focus)
  • Computational Linguist
  • AI Research Scientist (language models)
  • Chatbot Developer
  • Text Mining Specialist
  • AI Solutions Architect (with NLP projects)
  • Conversational AI Designer
  • Search Algorithm Developer
  • Recommendation System Engineer (content-based)
  • Content Analysis Engineer
  • Information Retrieval Specialist
  • Machine Translation Developer
  • Speech Recognition Engineer.

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.

Customer Reviews (6)

will recommend Review by Course Participant/Trainee
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Perhaps some examples related to the audience’s areas would help in application (Posted on 04/12/2022)
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90% of this course is hands on so maybe it more suitable to conduct face-to-face (Posted on 01/10/2022)
will recommend Review by Course Participant/Trainee
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. (Posted on 06/03/2022)
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The trainer and the participant were provided with separate sides, The trainer did help with the latest slide. (Posted on 25/04/2021)
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. (Posted on 06/09/2020)
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. (Posted on 02/09/2018)

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