Natural Language Processing on Google Cloud

Colleagues, the Natural Language Processing on Google Cloud program includes an overview of sequence model architectures and how to handle inputs of variable length. Predict future values of a time-series, classify free form text, address time-series and text problems with recurrent neural networks, choose between RNNs/LSTMs and simpler models and train and reuse word embeddings in text problems. Training modules: 1) NLP on Google Cloud - NLP APIs such as the Dialogflow API, and the NLP solutions such as Contact Center AI and Document AI, 2) NLP with Vertex AI - 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, 3) Text representation - prepare text data in NLP and introduces the major categories of text representation techniques, 4) NLP models - ANN, DNN, RNN, LSTM, and GRU, and 5) Advanced NLP models - encoder-decoder, attention mechanism, transformers, BERT, and large language models.

Enroll today (teams & execs welcome): https://tinyurl.com/5n8ksyd5 

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