Master the art of building production-ready LLM applications with LangChain, the framework powering 82% of enterprise GPT deployments. This comprehensive intermediate course transforms you from writing brittle LLM scripts to architecting scalable AI solutions used by Fortune 500 companies. Starting with fragmented code full of hardcoded prompts and raw API calls, you'll learn to construct elegant modular chains that are maintainable, testable, and secure. Through three progressive modules, you'll discover how industry leaders reduce development time by 65% and cut operational costs by 60% using LangChain patterns.
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您将学到什么
Construct modular LLM chains using LangChain's core components (prompts, models, and output parsers) to replace hardcoded API calls.
Apply systematic refactoring methodology to transform existing LLM scripts into maintainable LangChain workflows with proper error handling.
Implement production-ready patterns for common LLM use cases including Q&A systems, summarization pipelines, and data extraction workflows.
您将获得的技能
要了解的详细信息
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
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- 获得可共享的职业证书

该课程共有3个模块
We'll transform raw API calls into modular LangChain components, exploring prompts, models, and parsers through hands-on examples.
涵盖的内容
4个视频2篇阅读材料1次同伴评审
We'll apply the proven 5-step methodology to systematically refactor existing LLM code into maintainable architectures.
涵盖的内容
3个视频1篇阅读材料1次同伴评审
We'll implement battle-tested production patterns including RAG systems, caching strategies, and monitoring for scalable applications.
涵盖的内容
4个视频1篇阅读材料1个作业2次同伴评审
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