LangChain in production is more complex than a demo. This course will teach you how teams use LangChain in real-world systems and apply best practices for prompt design, evaluation, security, and performance.

What you'll learn
While LangChain demos are easy to find, they rarely show how it's used across industries or what strong production practices look like—leaving data professionals without a clear path forward. In this course, LangChain Industry Use-cases and Best Practices, you'll gain the ability to connect LangChain's building blocks to concrete, business-relevant scenarios. First, you'll explore how organizations in healthcare, finance, retail, and manufacturing are using LangChain for clinical documentation, reporting, customer experience, and supply chain automation. Next, you'll discover emerging and novel use cases such as natural-language data analysis assistants, automated research and competitive intelligence, and data governance workflows that generate explanations and documentation. Finally, you'll learn how to apply best practices for prompt design, cost and performance management, security and privacy, as well as monitoring and evaluating LangChain applications. When you're finished with this course, you'll have the skills and knowledge of LangChain industry use-cases and implementation best practices needed to evaluate, design, and guide LangChain initiatives in your own organization.