| Sumario: | In this course you will learn to build basic AI-powered applications by LangChain. Working with Language Model providers can unlock new capabilities for your application, however, they quickly become difficult to work with once you get past the basics. LangChain is an Open-Sourced framework that helps developers of all skill levels build complex interactions in just a few lines of code. We'll explore the basics of LangChain, top use cases, and build a question and answer application. What you'll learn and how you can apply it: Understand the basics and main use cases of working with LangChain to build LLM-powered applications Build your own Question and Answer application on your own custom files This course is for you because: You're a software developer interested in learning to leverage LLMs to build AI-powered applications. You're a data scientist or software engineer looking to add a new skill to your toolkit. You want to become more proficient at synthesizing text and freeform responses. You would like to build your own tools to power your text-based workflows. You would like to understand the latest trends and technologies in the AI space. Prerequisites: Basic Python knowledge Familiarity with Jupyter Notebooks Familiarity with Language Model Providers (ChatGPT, Bard).
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