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LangChain- Develop LLM powered applications with LangChain

Udemy
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Deal Score+11
LangChain- Develop LLM powered applications with LangChain
LangChain Develop LLM powered applications with LangChain

Learn LangChain by building FAST a real world generative ai LLM powered application LLM (Python)

Product Brand: Udemy

Editor's Rating:
4.6

Udemy Coupon Code for LangChain- Develop LLM powered applications with LangChain Course. Learn LangChain by building FAST a real world generative ai LLM powered application LLM (Python)

Created by Eden Marco | 7 hours on-demand video course

LangChain Course Overview

LangChain- Develop LLM powered applications with LangChain

Welcome to first LangChain Udemy course – Unleashing the Power of LLM! This comprehensive course is designed to teach you how to harness the power the LangChain library for LLM applications. This LangChain- Develop LLM powered applications with LangChain course will equip you with the skills and knowledge necessary to develop cutting-edge LLM solutions for a diverse range of topics.

In this LangChain- Develop LLM powered applications with LangChain course, you will embark on a journey from scratch to building a real-world LLM powered application using LangChain. The application you will build is designed to scrape the internet for information about a name you provide and generate a couple of personalized ice breakers to kick off a conversation with the person.

Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python. I will be using Pycharm IDE but you can use any editor you’d like since we only use basic feature of the IDE like debugging and running scripts.

What you’ll learn

  • Become proficient in LangChain
  • Have an end to end working LangChain based generative AI application
  • Prompt Engineering Theory: Chain of Thought, ReAct, Few Shot prompting and understand how
  • LangChain is build under the hood
  • Understand how to navigate inside the LangChain opensource codebase
  • Large Language Models theory for software engineers
  • LangChain: Lots of chains Chains, Agents, Vectorstores, DocumentLoader, TextSplitter, OutputParser, Memory

Gen AI – RAG Application Development using LangChain

Gen AI – RAG Application Development using LangChain

Develop powerful RAG Applications using Open AI GPT APIs, LangChain LLM Framework and Vector Databases

This Gen AI – RAG Application Development using LangChain course on developing RAG Applications using Open AI GPT APIs, LangChain LLM Framework and Vector Databases is intended to enable learners who want to build a solid conceptual and hand-on proficiency to be able to solve any RAG automation projects given to them. This course covers all the basics aspects of LLM and Frameworks like Agents, Tools, Chains, Retrievers, Output Parsers, Loaders and Splitters and so on in a very thorough manner with enough hands-on coding. 

ChatGPT and LangChain: The Complete Developer’s Masterclass

ChatGPT and LangChain: The Complete Developer’s Masterclass

Intensive masterclass on ChatGPT, LangChain, and Python. Make production-ready apps focused on real-world AI integration

This ChatGPT and LangChain: The Complete Developer’s Masterclass course focuses on creating a series of different projects of increasing complexity. You’ll start from the very basics, understanding how to access ChatGPT 4 programatically. From there, we will quickly increase in complexity, building more complex projects with many more features. By the end, you will make a fully-featured web app that implements a “Chat-with-a-PDF” feature.

Who this course is for

  • Software Engineers that want to learn how to build Generative AI based applications with LangChain
  • Backend Developers that want to learn how to build Generative AI based applications with LangChain
  • Fullstack engineers that want to learn how to build Generative AI based applications with LangChain

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Taught by Eden Marco

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