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Course
- AI
- Data
LangChain Industry Use Cases and Best Practices
Building production-ready reasoning apps requires best practices. This course will teach you how the industry is using the AI-first LangChain framework and its best practices.
What you'll learn
LangChain is an open-source framework that enables developers to build production-ready AI-first reasoning applications. In this course, LangChain Industry Use Cases and Best Practices, you’ll learn how the industry is building chains of AI-powered applications that bring the power of reasoning to your production solutions. First, you’ll explore how the industry uses LangChain to transform the AI-powered, user-centric solutions and enabling apps to reason. Next, you’ll discover examples from the industry and how industry leaders are using LangChain to power their generative applications. You’ll focus on finance, healthcare, retail, and e-commerce industries. Finally, you’ll explore the best practices for using LangChain and its services, including LangServe, and where LangSmith helps your development environments. When you’re finished with this course, you’ll have the skills and knowledge of LangChain and its services needed to build production-ready reasoning applications that integrate well with the generative AI ecosystem.
Table of contents
About the author
Afzaal Ahmad is a Senior Software Engineer and has been awarded as MVP by Alibaba Cloud, CodeProject, C# Corner, and Microsoft.
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