Transformers for Natural Language Processing

Transformers for Natural Language Processing

This course helps you master the topic of transformers for natural language processing, including the architecture, training, and prompt design

Intermediate

137 Lessons

15h

Certificate of Completion

This course helps you master the topic of transformers for natural language processing, including the architecture, training, and prompt design

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

2 Assessments
97 Playgrounds
16 Quizzes

This course includes

2 Assessments
97 Playgrounds
16 Quizzes

Course Overview

The demand for language understanding is on the rise in many fields, such as media, social media, and research papers. Vast amounts of data need to be processed for research, documents need to be translated and summarized for every area of the economy, and social media posts need to be scanned for ethical and legal reasons, among hundreds of other AI tasks whose use is ever-expanding. This course will cover everything from developing code to prompt design, a new programming skill that controls the behavio...Show More

What You'll Learn

Ability to work with Python, PyTorch, and TensorFlow

Ability to explore and implement transformers, as well as key AI language understanding neural network models

Ability to learn the new skills required to become an Industry 4.0 AI Specialist

Proficiency in Python deep learning and the necessary tools needed to effectively enhance language understanding

Ability to create a transformer-based recommendation system

What You'll Learn

Ability to work with Python, PyTorch, and TensorFlow

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Course Content

1.

Course Introduction

2.

Basics of Transformers

3.

Architecture of the Transformer Model

4.

Fine-Tuning BERT Models

5.

Pretraining a RoBERTa Model from Scratch

6.

Downstream NLP Tasks with Transformers

10 Lessons

7.

Machine Translation with the Transformer

10 Lessons

8.

The Rise of Transformers with GPT-3 Engines

10 Lessons

9.

Applying Transformers for AI Text Summarization

9 Lessons

10.

Matching Tokenizers and Datasets

6 Lessons

Transformers for NLP—Exam 1

Assessment

11.

Semantic Role Labeling with BERT-Based Transformers

7 Lessons

12.

Your Data Speaks: Story, Questions, and Answers

9 Lessons

13.

Detecting Customer Emotions to Make Predictions

7 Lessons

14.

Analyzing Fake News with Transformers

7 Lessons

15.

Interpreting Black Box Transformer Models

8 Lessons

16.

From NLP to Task-Agnostic Transfomer Models

7 Lessons

17.

The Emergence of Transformer-Driven Copilots

8 Lessons

Transformers for NLP—Exam 2

Assessment

18.

Conclusion

1 Lesson

19.

Appendix

4 Lessons

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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