In this comprehensive course, you will gain a deep understanding of vector databases, their structure, and how they differ from traditional databases. By exploring fundamental concepts, including their benefits and real-world applications, you will be equipped with the knowledge needed to leverage these cutting-edge technologies in data management and AI.
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Empfohlene Erfahrung
Was Sie lernen werden
Understand the key differences between traditional and vector databases and why they are increasingly essential in modern data management.
Gain hands-on experience with Chroma and Pinecone vector databases, including setting up, querying, and managing embeddings.
Master vector similarity metrics like cosine similarity, Euclidean distance, and dot product to perform data retrieval efficiently.
Explore the integration of vector databases with Large Language Models (LLMs) and learn how to enhance query responses using AI technologies.
Wichtige Details
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Januar 2025
10 Aufgaben
Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.
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Fügen Sie diese Qualifikation zur Ihrem LinkedIn-Profil oder Ihrem Lebenslauf hinzu.
Teilen Sie es in den sozialen Medien und in Ihrer Leistungsbeurteilung.
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In diesem Kurs gibt es 11 Module
In this module, we will introduce the prerequisites and overall structure of the course. You will gain a clear understanding of what to expect and how to navigate through the course for an optimal learning experience.
Das ist alles enthalten
1 Video1 Lektüre
In this module, we will dive into the fundamental concepts of vector databases. You will learn their applications, the reasons for their growing popularity, and the advantages they offer compared to traditional database systems.
Das ist alles enthalten
3 Videos1 Aufgabe
In this module, we will explore the key differences between traditional and vector databases. Through detailed comparisons, you will learn how vector databases overcome limitations of older systems, and understand the roles of embeddings and vectors in data management.
Das ist alles enthalten
6 Videos1 Aufgabe
In this module, we will introduce you to the top 5 vector databases available today. You will also discover how these databases integrate with Large Language Models (LLMs) to enable advanced data management and analysis.
Das ist alles enthalten
2 Videos1 Aufgabe
In this module, we will provide a hands-on guide to working with Chroma vector databases. You will learn to set up your environment, create a Chroma database, add documents, perform queries, and explore important database metrics.
Das ist alles enthalten
11 Videos1 Aufgabe
In this module, we will focus on common measures of vector similarity. You will learn the theoretical underpinnings of cosine similarity, Euclidean distance, and the dot product, and how they are applied in real-world data retrieval scenarios.
Das ist alles enthalten
4 Videos1 Aufgabe
In this module, we will walk you through the complete workflow of integrating vector databases with LLMs. You will learn how to generate embeddings, load documents, and generate model responses through seamless workflows.
Das ist alles enthalten
6 Videos1 Aufgabe
In this module, we will introduce the LangChain framework and its integration with vector databases. You will explore how to load, split documents, and complete database queries within the LangChain ecosystem.
Das ist alles enthalten
6 Videos1 Aufgabe
In this module, we will explore the Pinecone vector database. You will learn how to create and query Pinecone indexes, as well as how to clean up data and maintain an efficient indexing system.
Das ist alles enthalten
10 Videos1 Aufgabe
In this module, we will guide you through selecting the best vector database for various applications. You will learn how to use comparison tables and evaluate key criteria for making informed decisions.
Das ist alles enthalten
3 Videos1 Aufgabe
In this final module, we will review the key concepts from the course and guide you on your next steps. You will gain insight into further learning opportunities and resources for continued growth in the field.
Das ist alles enthalten
1 Video1 Aufgabe
Dozent
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Häufig gestellte Fragen
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.