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Learner Reviews & Feedback for Generative AI Language Modeling with Transformers by IBM

4.5

stars

122 ratings

About the Course

This course provides a practical introduction to using transformer-based models for natural language processing (NLP) applications. You will learn to build and train models for text classification using encoder-based architectures like Bidirectional Encoder Representations from Transformers (BERT), and explore core concepts such as positional encoding, word embeddings, and attention mechanisms. The course covers multi-head attention, self-attention, and causal language modeling with GPT for tasks like text generation and translation. You will gain hands-on experience implementing transformer models in PyTorch, including pretraining strategies such as masked language modeling (MLM) and next sentence prediction (NSP). Through guided labs, you’ll apply encoder and decoder models to real-world scenarios. This course is designed for learners interested in generative AI engineering and requires prior knowledge of Python, PyTorch, and machine learning. Enroll now to build your skills in NLP with transformers!...

Top reviews

Sep 1, 2025

I loved this course. It is very informative and has a lot of examples. It will take some time to master all this information.

Dec 29, 2024

This course gives me a wide picture of what transformers can be.

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26 - 28 of 28 Reviews for Generative AI Language Modeling with Transformers

By Conor J C

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Jul 29, 2025

Found this a very difficult course to understand. I do not recommend this at all, if you are not already a highly experienced professional in the field. Very badly explained, and impossible to keep up with. Way to much emphasize on technical lingo that to the untrained hear goes right over someones head. Continously had to google terms but did not help in making sense of it. Found very off putting in continuing course. Do not recommend at all.

By Mohammad D

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Mar 26, 2025

It's one of the worst courses I've seen. I couldn't understand anything from their explanation and I had to resort to external resources to understand the topic (and I am already someone with ML background).

By Ethan K

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Aug 27, 2025

This course is soooo boring. It feels like it's written by robots for robots. I want to see humans teaching material and making it understandable, interesting, and relatable. This is just ai-slop.