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Course Outline

Overview of LangChain

  • Definition and purpose of LangChain
  • Comparison with alternative frameworks
  • The role of LangChain in contemporary AI development

Environment Configuration

  • Installation of Python and required dependencies
  • Setting up the LangChain framework
  • Validation of the installation process

Core LangChain Concepts

  • Analyzing the LangChain architecture
  • Roles of key components
  • Underlying philosophy and design objectives

Integration with Large Language Models (LLMs)

  • Fundamentals of LLMs and their functional capabilities
  • Mechanisms of LangChain-LLM integration
  • Establishing connections to a sample LLM

Application Development with LangChain

  • The modular strategy for building applications
  • Creating a first LangChain-based project
  • Adhering to development best practices

Debugging and Troubleshooting

Summary and Future Directions

Requirements

  • A foundational knowledge of Python programming

Target Audience

  • Developers
  • Software engineers
 14 Hours

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