Udemy – Advanced LangChain Techniques: Mastering RAG Applications 2024-7

Description

Course Advanced LangChain Techniques: Mastering RAG Applications. Welcome to an advanced course on Retrieval-Augmented Generation (RAG) techniques using the powerful LangChain framework! In this course, we explore advanced content generation techniques using information retrieval and leverage the LangChain framework to enhance the capabilities of large-scale linguistic models (LLM) in natural language tasks. LangChain is an open-source tool that connects large language models to other components, and as such, is an invaluable resource for developers and data scientists working with artificial intelligence.

What you will learn:

• LangChain Expression Language (LCEL): Learn this powerful language to get the most out of all LangChain features.
• Advanced RAG Techniques: Learn complex content creation techniques with the help of data retrieval using the LangChain framework.
• Assessing RAG Pipelines: Assess your content generation pipelines with the help of information retrieval using the RAGAS framework.
• Enforcing NeMo Constraints: Make your AI interactions safe and reliable.

This course is suitable for people who:

• Experienced software engineers and data scientists at LangChain who want to take their RAG applications to the next level.

Course details Advanced LangChain Techniques: Mastering RAG Applications

• Publisher:  Udemy
• Lecturer:  Markus Lang
• Training level: beginner to advanced
• Training duration: 3 hours and 31 minutes
• Number of courses: 37

Course headings

Advanced LangChain Techniques: Mastering RAG Applications course prerequisites

• LangChain Basics
• Intermediate Python Skills (OOP, Datatypes, Functions, modules etc.)
• Basic Terminal and Docker knowledge

Course images

Sample video of the course

download link

Download part 1 – 1 GB

Download part 2 – 889 MB

File(s) password: www.downloadly.ir

File size

1.8 GB