First Steps With LangChain

Martin Breuss 12 Lessons 54m intermediate databases data-science

You’ve likely interacted with large language models (LLMs), like the ones behind OpenAI’s ChatGPT, and experienced their remarkable ability to answer questions, summarize documents, write code, and much more.

While LLMs are remarkable by themselves, with a little programming knowledge, you can leverage libraries like LangChain to create your own LLM-powered applications that can do just about anything.

In this video course, you’ll learn how to:

Use LangChain to build LLM-powered applications
Create reusable instructions with prompt templates
Create and extend LangChain chains
Debug what happens when a chain executes

What’s Included:

12 Lessons
Video Subtitles and Full Transcripts
2 Downloadable Resources
Accompanying Text-Based Tutorial
Interactive Quiz to Check Your Progress
Q&A With Python Experts: Ask a Question
Certificate of Completion

Downloadable Resources:

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First Steps With LangChain

10 Lessons 45m

1. First Steps With LangChain (Overview)01:53

2. Setting Up LangChain03:52

3. Asking Chat Models Questions04:31

4. Assembling Labeled Instructions05:00

5. Getting to Know Prompt Templates06:51

6. Preparing a Chat Template09:52

7. Linking Runnables in a Chain04:03

8. Inspecting Your Chain03:48

9. Extending Your Chain03:05

10. Asking Questions With Context03:00

Reviewing What You've Learned

2 Lessons 8m

1. Build an LLM RAG Chatbot With LangChain (Quiz)06:30

2. First Steps With LangChain (Summary)02:04

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About Martin Breuss

Martin is Real Python's Head of Content Strategy. With a background in education, he worked as a coding mentor, code reviewer, curriculum developer, bootcamp instructor, and instructional designer.

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