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    Natural Language Processing on Google Cloud

    Course navigate_next Overview

    Natural Language Processing on Google Cloud

    magic_button Machine Learning Machine Learning Models NLP
    These skills were generated by AI. Do you agree this course teaches these skills?
    8 hours Intermediate universal_currency_alt 20 Credits

    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.

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    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
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    View the public classroom schedule here.
    Can I take this course for free?
    When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.
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