Vector Search and Embeddings

via Coursera

Coursera

1275 Courses


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Overview

Welcome to the "Vector Search and Embeddings" course, your gateway to understanding and utilizing Vertex AI Vector Search. This course is designed to help you build a proficient search application powered by large language model (LLM) APIs for embeddings.

Throughout this course, you will dive into conceptual lessons covering the fundamentals of vector search and text embeddings. These lessons are paired with practical demonstrations on implementing vector search using Vertex AI. Additionally, you'll gain hands-on experience through our dedicated lab sessions.

Brought to you by Coursera, this course falls under the categories of LLM (Large Language Model) Courses, Data Science Courses, Vertex AI Courses, and Vector Search Courses. Enhance your skills and knowledge in these cutting-edge areas and apply them to real-world applications.

Join us now and take the first step towards mastering Vector Search with Vertex AI!

Syllabus


Taught by

Google Cloud Training


Tags

provider Coursera

Coursera

1275 Courses


Coursera

pricing Free Online Course (Audit)
language English
duration 2-3 hours
sessions On-Demand
level Intermediate