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You’ll learn how to build a custom NLP project with Vertex AI Workbench by using TensorFlow.

Unlike AutoML, which is a no-code solution, with custom training you must code on your own.

Luckily, TensorFlow provides many libraries and pre-built functionalities that you can rely on to make the coding easier.

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You’ll start with tokenization, which is a technique used to break down a text into smaller pieces, so that a computer can digest them.

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You’ll then be introduced to one-hot encoding and bag-of-words, the two basic but fundamental techniques used to turn words into numbers or vectors

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After that, you’ll proceed to more advanced techniques such as word embeddings

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and its most important model, word2vec.

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Finally, you’ll advance to transfer learning and reusable embeddings,

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followed by a hands-on lab where you’ll use reusable embeddings.