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Learner Reviews & Feedback for Transformer Models and BERT Model by Google Cloud
121 ratings
About the Course
This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference. This course is estimated to take approximately 45 minutes to complete.
Top reviews
WC
Mar 12, 2024
Excellent and concise presentation of Transformer and BERT models. The course designer may consider adding programming assignments to illustrate the concepts and to reinforce student learning.
NA
Jul 16, 2023
course was amazing gave me a good overview of BERT model and concepts like Encoding and decoding but not for beginner :>
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26 - 26 of 26 Reviews for Transformer Models and BERT Model
By Ravindra K S E a C E
•Sep 18, 2025
I did not find it helpful in any way