Langchain for beginners : Build GenAI LLM Apps in Easy Steps

A Step-by-Step Guide to Master LangChain

Created by: Bharath Thippireddy
IT Architect and Best Selling Instructor- 800000+ students

What Will I 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

Requirements

• Knowledge of Python
• OpenAI Account to work with OpenAI LLMs

Target audience

• Python Developers who want to use LangChain to build GenAI LLM applications
• Any students who has completed my Python or OpenAI course and who want to master LanChain