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Introduction to Transformer Models for NLP Preview

Introduction to Transformer Models for NLP

With Sinan Ozdemir and Pearson Liked by 255 users
Duration: 11h 18m Skill level: Intermediate Released: 10/22/2024

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Course details

This course provides a comprehensive overview of large language models (LLMs), transformers, and the mechanisms—attention, embedding, and tokenization—that set the stage for state-of-the-art NLP models like BERT and ChatGPT to flourish. Instructor Sinan Ozdemir helps you develop a practical, comprehensive, and functional understanding of transformer architectures and how they are used to create modern NLP pipelines. Along the way, Sinan brings theory to life with detailed illustrations, mathematical equations, and concrete examples of Python in Jupyter notebooks.

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Meet the instructors

Learner reviews

4.8 out of 5

50 ratings
  • 5 star
    Current value: 42 84%
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    Current value: 7 14%
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    Current value: 1 2%
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  • Rohil Sharma Rohil Sharma

    Rohil Sharma

    Artificial Intelligence student @NITK

    4/5 June 26, 2025
    excellent course and instructor, however access to the Jupyter notebooks along with dataset link would be helpful and is not provided.
    Helpful · Report
  • Kei Sugiyasu Kei Sugiyasu

    Kei Sugiyasu

    Software Engineer @ Woven by Toyota | AWS Certified Solutions Architect

    5/5 February 17, 2025
    I got very confident that I can use the transformer libraries to do some NLP tasks. This course doesn't dive into the details of the internal algorithm, but it helps beginners to get practical skills and understand the basics of NLP. I like this course very much and will try other courses to complement my understanding of AI/ML.
    Helpful · Report
  • Rafal Wojcik Rafal Wojcik

    Rafal Wojcik

    Finance with a global perspective. Proven in optimizing capital, boosting profitability, and improving reporting with IT skills. Led international…

    4/5 January 31, 2025
    The lecturer guide the learner by hand e.g. explains basic concepts and based on them build-up further knowledge. This fact and data driven course with practical example allows learners to apply gained knowledge immediately and practice discussed concepts, models, solutions etc. This course was very helpful to start using LLMs in more advanced way. Thank you!
    Helpful · Report

Contents

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