Natural Language Processing on Google Cloud
Natural Language Processing on Google Cloud
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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.
Course Info
Objectives
- 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
Understanding one or more of the following:
-Machine learning models such as CNN, RNN, DNN, and LSTM
-Basic syntax of Python
-Basic idea of TensorFlow and Keras
Audience
- Professional ML engineers, ML developers, data engineers, and data scientists who are in the field of natural language processing
- IT decision makers evaluating the value of NLP brought to the organization
Available languages
English