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.
Author Name: Afzaal Ahmad Zeeshan
Author Description:
Afzaal Ahmad Zeeshan is a Senior Software Engineer from Rabwah, Pakistan, and likes .NET Core and Node.js for regular everyday development. He is an expert with Cloud, Mobile, and API development. Afzaal has experience with the Azure platform and likes to build cross-platform libraries/software with .NET Core. Afzaal is an Alibaba Cloud MVP, twice he has been awarded Microsoft MVP status for his community leadership in software development, five times CodeProject MVP status for technical writing… more

Table of Contents

• Course Overview
  1min
• LangChain in Industry
  16mins
• LangChain Best Practices
  13mins