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Course Outline

Getting Started with LangChain

  • An overview of LangChain
  • Comparing LangChain with alternative frameworks
  • The role of LangChain in contemporary AI development

Environment Configuration

  • Installing Python and required dependencies
  • Initializing the LangChain setup
  • Verifying a successful installation

Foundational Concepts in LangChain

  • Analyzing the LangChain architectural design
  • Identifying key components and their functions
  • Exploring the underlying philosophy and design objectives

Integrating Large Language Models (LLMs)

  • An introduction to LLM capabilities
  • Examining the integration workflow between LangChain and LLMs
  • Establishing a connection with a representative LLM

Application Development using LangChain

  • Leveraging LangChain's modular structure for development
  • Creating your initial LangChain-based application
  • Applying industry best practices

Debugging and Troubleshooting

Summary and Future Directions

Requirements

  • Familiarity with basic Python programming concepts

Target Audience

  • Software Developers
  • Engineering Professionals
 14 Hours

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