Intro to LangChain

Overview

This course introduces the fundamentals of LangChain, including LangChain Expression Language (LCEL) and building a basic chatbot program. From there, you'll learn to leverage LangChain’s prompt templates and utilize output parsers to generate high-quality, structured outputs from large language models.

Syllabus

• Welcome to the Course
Get started with a course overview, and check out the technical requirements and how to get an OpenAI API key.
• Creating a Simple LangChain application
Learn to build a simple LangChain app: integrate LLMs, manage chat history, use prompt templates, and apply few-shot prompting to create customizable chatbots with memory.
• Structured Outputs
Discover structured outputs in AI: transform responses into actionable JSON for integration. Utilize schemas, parsers, and function calls to enhance reliability and automation in workflows.
• LangChain Structured Outputs
Learn to parse and structure LLM outputs in LangChain using output parsers, TypedDict, Pydantic models, and automatic error correction for robust workflows.
• What’s Next
Upgrade to the full Nanodegree program to keep learning and go further.

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Taught by

Henrique Santana

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Subjects

Computer Science