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October 1, 2024
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This course is part of Advanced Machine Learning on Google Cloud Specialization
Instructor: Google Cloud Training
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This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
- Recognize the NLP products and the solutions on Google Cloud. - Create an end-to-end NLP workflow by using AutoML with Vertex AI. - Build different NLP models including DNN, RNN, LSTM, and GRU by using TensorFlow. - Recognize advanced NLP models such as encoder-decoder, attention mechanism, transformers, and BERT. - Understand transfer learning and apply pre-trained models to solve NLP problems. Prerequisites: Basic SQL, familiarity with Python and TensorFlow
This module addresses the reasons to learn NLP from Google and provides an overview of the course structure and goals.
2 videos1 reading
This module introduces the NLP architecture on Google Cloud. It explores the NLP history, the NLP APIs such as the Dialogflow API, and the NLP solutions such as Contact Center AI and Document AI.
9 videos1 reading1 assignment1 app item
This module explores AutoML and custom training, which are the two options to develop an NLP project with Vertex AI. Additionally, the module introduces an end-to-end NLP workflow and provides a hands-on lab to apply the workflow to solve a task of text classification with AutoML.
7 videos1 reading1 assignment
This module describes the process to prepare text data in NLP and introduces the major categories of text representation techniques.
8 videos1 reading1 assignment1 app item
This module describes different NLP models including ANN, DNN, RNN, LSTM, and GRU. It also introduces the benefits and disadvantages of each model.
9 videos1 reading1 assignment1 app item
This module introduces the state-of-the-art technologies and models in NLP: encoder-decoder, attention mechanism, transformers, BERT, and large language models.
8 videos1 reading1 assignment1 app item
This module reviews the topics covered in the course and provides additional resources for further learning.
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
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Reviewed on Aug 10, 2019
Great way to practically learn a lot of stuff. Sometimes, a lot of it starts to go over head. But, it is completely worth the learning curve! Definitely recommend it!
Reviewed on Jul 13, 2020
This course is short and sweet, and covers many helpful usecases of GCP tools related to the course topic.
Reviewed on Nov 20, 2024
Very helpful course to understand NLP and how to use GCP platform at basic level.
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Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
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