Video course · 9 chapters · 41 min · certificate
LangChain Essentials: Build LLM Apps with Python in Under 1 Hour
Learn LangChain fundamentals in Python: its benefits, a coffee shop chatbot case study, setup, the ecosystem, API configuration, prompt templates, LLM chains and adding memory to a chatbot.
What you'll learn
- Explain what LangChain offers
- Set up a LangChain Python environment
- Configure an OpenAI API key
- Use prompt templates
- Build LLM chains
- Add memory to a chatbot
Chapters
9 chapters · 41:18-
1:02
01Intro Members
Introduction to LangChain
A framework for LLM apps.
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1:27
02Concepts Members
Benefits of LangChain
Why use it.
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1:34
03Case study Members
Coffee shop chatbot
The example app.
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1:05
04Setup Members
Environment setup
Installing packages.
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4:57
05Ecosystem Members
The LangChain ecosystem
The parts of LangChain.
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1:29
06Setup Members
API configuration
Creating an OpenAI key.
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6:50
07Core Members
Prompt templates
Reusable prompts with variables.
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12:22
08Chains Members
Building LLM chains
Connecting components.
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10:32
09Memory Members
Memory in chatbots
Message history and wrap-up.
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