Introduction to LangChain for Data Professionals
LangChain is an open-source framework that makes building applications with large language models easy. This course teaches you how to leverage LLMs like GPT for natural language tasks like summarization, chatbots, and code generation.
What you'll learn
Managing massive, sensitive datasets while deriving key insights poses major challenges for data professionals today. In this course, Introduction to LangChain for Data Professionals, you’ll be able to architect LangChain systems that enable secure data sharing, governance, and actionable insights.
First, you’ll explore the history of this breakthrough technology and its core technical concepts. You'll learn how distributed ledgers, cryptography, and decentralized consensus provide the foundation.
Next, you’ll discover how chained AI models generate insights at scale. Finally, you’ll learn best practices for implementing LangChain in production environments. You'll compare design tradeoffs versus traditional databases and master deployment, access controls, monitoring, and integration techniques.
When you’re finished with this course, you’ll have the skills to assess and prototype LangChain solutions tailored to your organization’s needs – accelerating innovation through decentralized, accountable data science.
Table of contents
About the author
Pinal Dave is an SQL Server Performance Tuning Expert and independent consultant with over 22 years of hands-on experience. He holds a Master of Science degree and numerous database certifications. Pinal has authored 14 SQL Server database books and 81 Pluralsight courses. To freely share his knowledge and help others build their expertise, Pinal has also written more than 5,800 database tech articles on his blog at https://blog.sqlauthority.com.