Most popular programs
Trending now
Build job-ready skills in NLP based applications using GPT and BERT in just 2 weeks! Add sought-after skills employers are looking for to your resume and power up your AI career.
The demand for transformer-based language models is skyrocketing. AI engineers skilled in using transformer-based models for NLP are essential for developing successful gen AI applications. This course builds the job-ready skills employers need.
During the course, you’ll explore the concepts of transformer-based models for natural language processing (NLP). You’ll look at how to apply transformer-based models for text classification, focusing on the encoder component. Plus, you’ll learn about positional encoding, word embedding, and attention mechanisms in language transformers, and their role in capturing contextual information and dependencies.
You’ll learn about multi-head attention and decoder-based language modeling with generative pre-trained transformers (GPT) for language translation. You’ll consider how to train models and implement models using PyTorch. You’ll explore encoder-based models with bidirectional encoder representations from transformers (BERT) and train them using masked language modeling (MLM) and next sentence prediction (NSP). Plus, you’ll learn to apply transformers for translation using transformer architecture and implement it using PyTorch.
Throughout, you’ll apply your new skills practically in hands-on activities and you’ll complete a final project tackling a real-world scenario.
If you’re looking to build job-ready skills for gen AI applications employers are looking for, ENROLL TODAY and enhance your resume in just 2 weeks!
Prerequisites: To enroll for this course, you need a working knowledge of Python, PyTorch, and machine learning.
For this course, basic knowledge of Python and a familiarity with machine learning and neural network concepts is recommended.
Module 1: Fundamental Concepts of Transformer Architecture
Module 2: Advanced Concepts of Transformer Architecture
Module 3: Course Cheat Sheet, Glossary and Wrap-up
Course Wrap-Up
What are transformer-based language models and why are they important?
Transformer-based language models like GPT and BERT are crucial in natural language processing (NLP) because they excel at understanding context and dependencies in text. These models use advanced mechanisms like attention and multi-head attention to process and generate text, powering applications such as chatbots, content generation, and machine translation .
How are generative pre-trained transformers (GPT) used in real-world applications?
GPT models are widely used for content generation, automated writing, and language translation. They can generate human-like text, making them valuable for industries like customer service (chatbots), content creation (articles, blogs), and language learning (automated translation) .
What job roles benefit from knowledge of transformer-based models like BERT and GPT?
AI engineers, machine learning specialists, and data scientists with expertise in transformer-based models are in high demand across industries. These roles involve developing and deploying AI systems for applications such as natural language understanding, automated translation, sentiment analysis, and customer support .
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.
