Understanding and Applying Text Embeddings
By Coursera
on Coursera
· Data Science
About This Course
The Vertex AI Text-Embeddings API enhances the process of generating text embeddings. These text embeddings, which are numerical representations of text, play a pivotal role in many tasks involving the identification of similar items, like Google searches, online shopping recommendations, and personalized music suggestions. During this course, you’ll use text embeddings for tasks like classification, outlier detection, text clustering and semantic search. You’ll combine semantic search with the text generation capabilities of an LLM to build a question-answering systems using Google Cloud’s Vertex AI.
Instructor
Andrew Ng
Frequently Asked Questions
How much does Understanding and Applying Text Embeddings cost?
Visit the Understanding and Applying Text Embeddings course page for current pricing and available discounts.
Who teaches Understanding and Applying Text Embeddings?
Understanding and Applying Text Embeddings is taught by Andrew Ng, DeepLearning.AI.
What skill level is Understanding and Applying Text Embeddings for?
This course is designed for all levels learners.