Langchain for beginners : Build GenAI LLM Apps in Easy Steps

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Langchain for beginners : Build GenAI LLM Apps in Easy Steps
Langchain for beginners Build GenAI LLM Apps in Easy Steps

A Step-by-Step Guide to Master LangChain

Product Brand: Udemy

Editor's Rating:
4.8
Langchain for beginners : Build GenAI LLM Apps in Easy Steps
Langchain for beginners Build GenAI LLM Apps in Easy Steps

A Step-by-Step Guide to Master LangChain

Product Brand: Udemy

Editor's Rating:
4.8

Udemy Coupon Code for Langchain for beginners : Build GenAI LLM Apps in Easy Steps Course. A Step-by-Step Guide to Master LangChain.

Created by Bharath Thippireddy | 4 hours on-demand video course | 13 downloadable resources

Langchain Course Overview

Welcome to Langchain for beginners : Build GenAI LLM Apps in Easy Steps Course Coupon Code this course is designed to provide a gentle, step-by-step introduction to LangChain, guiding you from the basics to more advanced concepts. Whether you’re a complete novice or have some experience with AI, this course will help you understand and leverage the power of LangChain for building AI-powered applications.

What you’ll learn

  • Learn what LangChain is how it simplifies using LLMs in our applications
  • Use OpenAI LLMS in a python application
  • Use Open Source LLMS like Mistral,Gemma in a python application
  • Run Open Source LLMs on your local machine using OLLAMA
  • Use PromptTemplates to reuse and build dynamic prompts
  • Understand how to use the LangChain expression language
  • Create Simple and Regular Sequential chains using LCEL
  • Work with multiple LLMs in a single chain
  • Learn why and how to maintain Chat History
  • Learn what embeddings are and use the Embeddings Model to find text Similarity
  • Understand what a Vector Store is and use it to store and retrieve Embeddings
  • Understand the process of Retrieval Augmented Generation(RAG)
  • Implement (RAG) to use our own data with LLMs in simple steps
  • Analyze images using Multi Modal Models
  • Build multiple LLM APPs using Streamlit and LangChain
  • All in simple steps

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