This course introduces Vertex AI Vector Search and describes how it can be used to build a search application with large language model (LLM) APIs for embeddings. The course consists of conceptual lessons on vector search and text embeddings, practical demos on how to build vector search on Vertex AI, and a hands-on lab.
Vector Search and Embeddings
Vector Search and Embeddings
Instructor: Google Cloud Training
Access provided by New York State Department of Labor
2,097 already enrolled
Gain insight into a topic and learn the fundamentals.
4.5
(15 reviews)
Intermediate level
Some related experience required
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Recognize the process, applications, and key technologies of vector search.
Describe embeddings and the LLM APIs used for embeddings.
Build a search engine by using Vertex AI Vector Search.
Details to know
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Assessments
1 assignment
Taught in English
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There is 1 module in this course
This course introduces Vertex AI Vector Search and describes how it can be used to build a search application with large language model (LLM) APIs for embeddings. The course consists of conceptual lessons on vector search and text embeddings, practical demos on how to build vector search on Vertex AI, and a hands-on lab.
What's included
6 videos1 reading1 assignment1 app item
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4.5
15 reviews
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Showing 3 of 15
MT
5
Reviewed on Jun 8, 2024
Very interesting course on Vector Search and Embeddings!
DC
4
Reviewed on Jun 8, 2024
The labs have a lot of waiting for services to spin up (but it gives you time to read and understand more I suppose)
Recommended if you're interested in Information Technology
Google Cloud
DeepLearning.AI
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