Vector Search and Embeddings
- Offered byCoursera
- Public/Government Institute
Vector Search and Embeddings at Coursera Overview
Vector Search and Embeddings
at Coursera
Duration | 2 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Vector Search and Embeddings
Table of content
- Overview
- Highlights
- Course Details
- Curriculum
Vector Search and Embeddings at Coursera Highlights
Vector Search and Embeddings
at Coursera
- Earn a certificate of completion
- Add to your LinkedIn profile
Vector Search and Embeddings at Coursera Course details
Vector Search and Embeddings
at Coursera
What are the course deliverables?
- 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.
More about 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.
Vector Search and Embeddings at Coursera Curriculum
Vector Search and Embeddings
at Coursera
Vector Search and Embeddings
Why use vector search
Generate embeddings
Create vector search
Vector search in action
Vector search with RAG
Coursera: Getting Started with Google Cloud Platform and Qwiklabs
Reading List
Quiz
Lab: Get Started with Vector Search and Embeddings
Other courses offered by Coursera
– / –
3 months
Beginner
View Other 6726 Courses
Vector Search and Embeddings
at Coursera
Student Forum
Anything you would want to ask experts?