Course
Prompt Engineering with LangChain
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Prerequisites
LLM Application Fundamentals with LangChainLLM Application Evaluation with LangSmithPrompt Engineering
Prompt Management
You will learn how to format and organize your prompts for readability and maintainability — using Markdown structure and separating prompts into dedicated files — so that your prompts are easier to write, debug, and collaborate on.
Application Prompting
You will learn to engineer effective prompts for LLM applications by mastering a comprehensive template structure — from defining purpose and role through input/output specifications to writing clear instructions and compelling examples — enabling you to systematically design and optimize prompts that maximize model performance across diverse tasks.
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FAQs
What prerequisites do I need before starting this LangChain prompt engineering course?
You should complete Intermediate Python for Developers, Introduction to Python for Developers, LLM Application Evaluation with LangSmith, and LLM Application Fundamentals with LangChain.
Is this course suitable for someone new to large language models?
This course assumes familiarity with LangChain fundamentals and LangSmith evaluation. If you are new to LLMs, start with the prerequisite courses on LLM application fundamentals first.
How many chapters and exercises does this course include?
The course contains 4 chapters with 20 exercises and is estimated at 120 minutes of content, earning you 3,500 XP upon completion.
Does this course teach prompt engineering within the LangChain framework specifically?
Yes. The course focuses on prompt engineering techniques used within the LangChain ecosystem, building on the LangChain and LangSmith foundations from the prerequisite courses.
What programming language is used in this course?
The course uses Python. You will write prompt engineering code using the LangChain library and related Python tools.
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