Master Natural Language Processing with Transformers

Master Natural Language Processing with Transformers udemy course

NLP with Transformers | GenAI | Hugging Face | Deep Learning

Unlock the power of modern Natural Language Processing (NLP) and elevate your skills with this comprehensive course on NLP with a focus on Transformers. This course will guide you through the essentials of Transformer models, from understanding the attention mechanism to leveraging pre-trained models.  If so, then this course is for you what you need!

We have divided this course into Chapters. In each chapter, you will be learning a new concept for Natural Language Processing with Transformers. These are some of the topics that we will be covering in this course:

Starting from an introduction to NLP and setting up your Python environment, you'll gain hands-on experience with text preprocessing methods, including tokenization, stemming, lemmatization, and handling special characters. You will learn how to represent text data effectively through Bag of Words, n-grams, and TF-IDF, and explore the groundbreaking Word2Vec model with practical coding exercises.

Dive deep into the workings of transformers, including self-attention, multi-head attention, and the role of position encoding. Understand the architecture of transformer encoders and decoders and learn how to train and use these powerful models for real-world applications.

The course features projects using state-of-the-art pre-trained models from Hugging Face, such as BERT for sentiment analysis and T5 for text translation. With guided coding exercises and step-by-step project walkthroughs, you’ll solidify your understanding and build your confidence in applying these models to complex NLP tasks.

By the end of this course, you’ll be equipped with practical skills to tackle NLP challenges, build robust solutions, and advance your career in data science or machine learning. If you’re ready to master NLP with modern tools and hands-on projects, this course is perfect for you.

What You’ll Learn:

- Comprehensive text preprocessing techniques with real coding examples

- Text representation methods including Bag of Words, TF-IDF, and Word2Vec

- In-depth understanding of transformer architecture and attention mechanisms

- How to implement and use BERT for sentiment classification

- How to build a text translation project using the T5 model

- Practical experience with the Hugging Face ecosystem

Who This Course Is For:

- Intermediate to advanced NLP learners

- Machine learning engineers and data scientists

- Python developers interested in NLP applications

- AI enthusiasts and researchers

Embark on this journey to mastering NLP with Transformers and build your expertise with hands-on projects and state-of-the-art tools.

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