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Vektorsuche und Einbettungen

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Vektorsuche und Einbettungen

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

Prozesse und wichtige Technologien im Zusammenhang mit der Vektorsuche erklären
Semantische Suchanfragen unter Verwendung von Vektoreinbettungen mit der Vektorsuche in Vertex AI erstellen
Fundierte Agenten und Retrieval-Augmented Generation (RAG) zum Minimieren von KI-Halluzinationen kennenlernen
Hybridsuchmaschine mit der Vektorsuche in Vertex AI erstellen

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in German

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There is 1 module in this course

In diesem Kurs wird die Vertex AI-Vektorsuche vorgestellt und beschrieben, wie sie beim Erstellen einer Suchanwendung mit Large Language Model-APIs (LLM) für Einbettungen genutzt werden kann. Der Kurs besteht aus konzeptionellen Lektionen über Vektorsuche und Texteinbettungen, interaktiven Demos zum Erstellen einer Vektorsuche in Vertex AI und einem praxisorientierten Lab.

In diesem Kurs lernen Sie KI-basierte Suchtechnologien, Tools und Anwendungen kennen. Er umfasst folgende Themen: die semantische Suche mithilfe von Vektoreinbettungen, die Hybridsuche, bei der semantische und stichwortbezogene Ansätze kombiniert werden, und Retrieval-Augmented Generation (RAG), die KI-Halluzinationen durch einen fundierten KI-Agenten minimiert. Sie sammeln praktische Erfahrungen mit der Vektorsuche in Vertex AI zum Entwickeln einer intelligenten Suchmaschine.

What's included

9 videos1 reading1 assignment2 app items

9 videos Total 55 minutes

Einführung 3 minutes
Grundlagen zur Vektorsuche 7 minutes
Mit Einbettungen codieren 9 minutes
Indexieren und suchen 8 minutes
Vektorsuche in Vertex AI 8 minutes
Coursera: Erste Schritte mit Google Cloud Platform und Qwiklabs 5 minutes
RAG und fundierter Agent 6 minutes
Hybridsuche 8 minutes
Zusammenfassung 3 minutes

1 reading Total 10 minutes

Leseliste 10 minutes

1 assignment Total 14 minutes

Vektorsuche und Einbettungen: Quiz 14 minutes

2 app items Total 180 minutes

Lab: Einstieg in Vektorsuche und Einbettungen 90 minutes
Lab: Hybridsuche mit der Vektorsuche in Vertex AI erstellen 90 minutes

Instructor

Google Cloud Training

Google Cloud

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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.