Build, Analyze, and Refactor LLM Workflows
Completed by Deepak Nagaraj
February 19, 2026
6 hours (approximately)
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What you will learn
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.
Skills you will gain
- Category: Prompt Engineering
- Category: Retrieval-Augmented Generation
- Category: LLM Application
- Category: Performance Tuning
- Category: LangChain
- Category: Enterprise Application Management
- Category: AI Workflows
- Category: AI Orchestration
- Category: Large Language Modeling
- Category: Code Reusability
- Category: Maintainability
- Category: Scalability
