Zero to Hero in LangChain: Build GenAI apps using LangChain

Zero to Hero in LangChain: Build GenAI apps using LangChain

What you’ll learn

  • Discover the core principles of LangChain and its application in building Generative AI models
  • Master the creation and use of Prompt Templates, including chat prompt templates and few-shot prompt templates, to optimize AI interactions
  • Develop complex chain structures, such as LLMChains and Sequential Chains, to enhance the functionality of AI-driven applications
  • Implement dynamic execution flows using LCEL-based Chains and Runnables, including controlling execution flow and dynamic routing
  • Utilize memory in LangChain to build advanced conversational AI that can remember and recall user interactions across sessions
  • Create a Retrieval-Augmented Generation (RAG) application, including document reading, chunking, embedding, and data retrieval from a vector database
  • Design and integrate custom tools and agents, including memory-enabled agents, into your LangChain applications to extend their capabilities
  • Construct a graphical user interface (GUI) for your Generative AI applications using Streamlit, enabling user-friendly interactions with your AI models

How to Enroll Zero to Hero in LangChain: Build GenAI apps using LangChain course?

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