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If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

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This course is currently available only to learners who have paid or received financial aid, when available.

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Recherche vectorielle et embeddings

Recherche vectorielle et embeddings

Instructor: Google Cloud Training

Included with

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1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

4 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Expliquer les processus de la recherche vectorielle et ses technologies clés
Construire une recherche sémantique à l'aide d'embeddings vectoriels avec Vertex AI Vector Search
Explorer les agents ancrés et la génération augmentée par récupération (RAG) afin de réduire les hallucinations de l'IA
Créer un moteur de recherche hybride avec Vertex AI Vector Search

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in French

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There is 1 module in this course

Avec ce cours, explorez les technologies de recherche, les outils et les applications optimisés par l'IA. Découvrez la recherche sémantique, qui utilise les embeddings vectoriels (ou "plongements vectoriels"), la recherche hybride, qui combine les approches sémantique et par mots-clés, et la génération augmentée par récupération (RAG), qui réduit les hallucinations générées par l'IA en agissant comme un agent ancré. Enfin, acquérez une expérience pratique de Vertex AI Vector Search afin de créer votre moteur de recherche intelligent.

What's included

9 videos1 reading1 assignment2 app items

9 videos Total 55 minutes

Introduction 3 minutes
Principes de base de la recherche vectorielle 7 minutes
Encoder avec des embeddings 9 minutes
Index et recherche 8 minutes
Vertex AI Vector Search 8 minutes
Coursera: Premiers pas avec Google Cloud Platform et Qwiklabs 5 minutes
RAG et agent ancré 6 minutes
Recherche hybride 8 minutes
Résumé 3 minutes

1 reading Total 10 minutes

Liste de lecture 10 minutes

1 assignment Total 14 minutes

Quiz. 14 minutes

2 app items Total 180 minutes

Atelier : Premiers pas avec la recherche vectorielle et les embeddings 90 minutes
Atelier : Créer une recherche hybride avec Vertex AI Vector Search 90 minutes

Instructor

Google Cloud Training

Google Cloud

2,103 Courses 3,988,598 learners

Offered by

Google Cloud

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Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.