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LangChain Mastery: From Basics to Advanced

LangChain Mastery: From Basics to Advanced

author
Generated by
ProCodebase AI

Date Created
26/10/2024

This course covers LangChain, large language models (LLMs), and key concepts like prompt engineering, chains, memory systems, vector stores, RAG applications, tools, and deployment. Learn to build conversational AI applications with LangChain, incorporating advanced patterns and production-ready strategies.

What you will learn -

  • LangChain and Large Language Models
  • Setting Up Your Python and LangChain Development Environment
  • Navigating the LLM Landscape
  • Understanding LangChain Components and Architecture
  • Mastering Prompt Templates and String Prompts in LangChain with Python
  • Mastering Chains
  • Mastering Memory Systems and Chat History Management in LangChain with Python
  • Mastering Document Loaders and Text Splitting in LangChain
  • Unlocking the Power of Vector Stores and Embeddings in LangChain with Python
  • Supercharging Python with Retrieval Augmented Generation (RAG) using LangChain
  • Unleashing the Power of Agents and Tools in LangChain
  • Mastering Output Parsers and Response Formatting in LangChain with Python
  • Mastering LangChain Expression Language (LCEL) in Python
  • Leveraging LangChain for Building Powerful Conversational AI Applications in Python
  • Unleashing the Power of Custom Tools and Function Calling in LangChain
  • Mastering Streaming Responses and Callbacks in LangChain with Python
  • Mastering LangChain
  • Mastering Production Deployment Strategies for LangChain Applications
  • Leveraging LangChain for Enterprise-Level Python Applications
  • Advanced Pattern Design and Best Practices in LangChain