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NLP with Large Language Models (LLM) Fundamentals

Our course on NLP with Large Language Models (LLM) Fundamentals is a comprehensive introduction to the world of advanced language models, including technologies like ChatGPT. It's tailored for data scientists, AI practitioners, and tech enthusiasts keen to leverage large-scale language models for various NLP tasks.

The curriculum covers the mechanics of large language models, their applications, and ethical considerations. You'll explore how these models understand and generate human-like text, how to fine-tune them for specific tasks, and how to design systems that can effectively interact with these models. By the end of this course, you will have the essential knowledge and practical skills to design and implement NLP systems with large language models.

Certificate

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

Funding and Grant Applications

No funding is available for this course

Course Code: C502

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$600.00 (GST-exclusive)
$654.00 (GST-inclusive)

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 enquiry@tertiaryinfotech.com 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 Fundamental of NLP

  • Applications and use cases of NLP
  • Python NLP Packages and Hugging Face Transformer
  • Overview of large language models (LLM)
  • Overview of Transformer architecture 
  • Matrix calculus of self-attention mechanism
  • Comparison of large language models - BERT, RoBERTa, T5, BART, GPT, and ChatGPT
  • Key Features of BERT - Fine Tuning and Self-Supervised Learning

Topic 2 Word Embedding and Language Models

  • Tokenization techniques
  • Word embedding techniques
  • Similarity measures
  • Language models
  • Introduction to Hugging Face Transformer API

Topic 3 Training NLP Models

  • BERT and text classification
  • Training NLP models

Topic 4 NLP Strategies

  • Main NLP tasks with Hugging Face Transformer
  • Prompt Engineering with OpenAI API
  • Build your first Bot Using OpenAI API

Course Info

Prerequisite

The learner must have some knowledge in basic python, machine language and NLP.

Job Roles

  • NLP (Natural Language Processing) Engineer
  • Machine Learning Engineer
  • AI Application Developer
  • Chatbot Developer
  • AI Research Scientist
  • AI Product Manager
  • Data Scientist specializing in text data
  • Conversational AI Designer
  • AI Integration Specialist
  • Language Model Trainer
  • Content Personalization Engineer
  • AI Platform Engineer
  • Cognitive Computing Specialist
  • AI Technical Consultant
  • AI Software Architect

Trainers

Solomon Soh Zhe Hong: Solomon is ACTA certified and has trained and coached over 100 professionals in the area of data science, python programming and coding. Solomon is a Certified AI Engineer Associate by AI Singapore and holds certifications in Alibaba Cloud Architect and Alteryx respectively. Solomon interests include Reinforcement Learning, Natural Language Processing and Time-Series analysis.

Alfred Yap Swee Leong: Alfred Yap is an ACLP certified trainer with strong financial and shopper marketing domain background and extensive experience in information technology. In addition, he is both an IBM certified Cloud Computing Practitioner and an IBM Enterprise Design Thinking Practitioner.
Alfred Yap has spent decades teaching adult learners since the 90s. Kickstarting his teaching career as a trainer for Oracle University. Thereafter, he has had vast experience conducting ICT related training to various companies in the Consulting, Media, and Training industry.
Alfred Yap earned his undergraduate degree from USF, America and master degree from NTU, Singapore majoring in Knowledge Management. His current interests include Cyber Security, Cloud computing and Blockchain.

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