NVIDIA: Fundamentals of NLP and Transformers

Write your awesome label here.

     Course features
  • Provider : Whizlabs Instructor via Coursera
  • Level: Intermediate
  • Study time: 4 hours to complete

The NVIDIA: Fundamentals of NLP and Transformers Course is the third course in the Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs - Associate Specialization. This program provides a comprehensive introduction to Natural Language Processing (NLP) and hands-on experience with transformer models, preparing learners for real-world AI applications.

What You’ll Learn:

  • NLP fundamentals: Tokenization, text preprocessing, and word embeddings
  • Sequence models: RNN, LSTM, GRU, and their applications in NLP
  • Transformer architecture: Self-attention mechanisms and encoder-decoder models
  • Hands-on practice: Build NLP pipelines and apply transformer-based models


Course Structure:

  • Module 1: Introduction to NLP – Concepts, Techniques, and Applications
  • Module 2: Sequence Models and Transformers

Designed for data scientists, machine learning engineers, and AI specialists, this course blends theoretical concepts with practical exercises, including 3+ hours of video content and quizzes for knowledge reinforcement.

Gain the skills to implement cutting-edge NLP techniques and work with state-of-the-art transformer models.

Course overview

The NVIDIA Fundamentals of NLP and Transformers course provides a comprehensive introduction to Natural Language Processing (NLP) and hands-on training in transformer models. As part of the NVIDIA-Certified Generative AI LLMs - Associate Specialization, this course covers key NLP techniques, including tokenization, text preprocessing, word embeddings, and sequence models like RNN, LSTM, and GRU.


Learners will explore transformer architectures, self-attention mechanisms, and encoder-decoder models, gaining practical insights into modern NLP applications. The course includes interactive lessons, hands-on exercises, and quizzes, reinforcing both theoretical and practical knowledge.

Ideal for data scientists, machine learning engineers, and AI professionals, this course equips learners with the skills to build and optimize NLP pipelines using the latest AI-driven techniques.

Empty space, drag to resize
Certificate available
Learn to use all the related tools, walk into a job and be a rockstar from day one. 

Include this credential on your LinkedIn profile, resume, or CV. Share it on social media and highlight it in your performance review.
Created with