Langchain & Vector DB: The Ultimate Guide for LLMs

Mode

Offline / Online  / Weekend

Duration

4 Hours

Who Should Enroll

This course is aimed at working professionals, college students, data scientists, and AI practitioners interested in learning about Langchain and vector databases, and their application in large language models (LLMs)

Prerequisites

No prior knowledge is needed. Basic understanding of programming and familiarity with databases is beneficial.

Program Objectives

The objective of this course is to provide a comprehensive introduction to Langchain and vector databases, focusing on their role and application in LLMs. Participants will learn the fundamentals of Langchain, including its core concepts and components, and explore practical use cases for Langchain agents. The course will also cover the basics of vector databases, their advantages over traditional databases, and introduce open-source solutions like Chroma DB and Weaviate.

Key Topics

• Introduction: Overview of Langchain and vector databases, including their roles and significance in LLMs.
• Langchain Fundamentals: Detailed look at what Langchain is, its core concepts, and key components.
• Langchain Agents: Practical use cases and implementation of Langchain agents in various scenarios.
• Vector Database Basics: Definition of vector databases, their advantages compared to traditional databases.
• Open Source Solutions: Introduction to open-source vector databases such as Chroma DB and Weaviate.

Faculty and Resources

The course is taught by experienced professionals with expertise in Langchain and vector databases. Participants will have access to a range of resources and tools to support their learning and practical application.

Certification

Upon successful completion of the course, participants will receive a Certificate of Participation in Langchain & Vector DB: The Ultimate Guide for LLMs.

Register

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