Build, Analyze, and Refactor LLM Workflows
Completed by Dmytro Kuzavkov
March 30, 2026
6 hours (approximately)
Dmytro Kuzavkov's account is verified. Coursera certifies their successful completion of Build, Analyze, and Refactor LLM Workflows
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: LLM Application
- Category: AI Workflows
- Category: Application Deployment
- Category: Scalability
- Category: Large Language Modeling
- Category: LangChain
- Category: Code Reusability
- Category: Operational Efficiency
- Category: System Monitoring
- Category: Retrieval-Augmented Generation
- Category: Maintainability

