The Complete LangChain & LLMs Guide
Completed by Aliza Faruk Sayyed
April 24, 2025
13 hours (approximately)
Aliza Faruk Sayyed's account is verified. Coursera certifies their successful completion of The Complete LangChain & LLMs Guide
What you will learn
Build production-ready LangChain applications using prompts, chains, agents, LCEL, and memory to create scalable AI workflows.
Design Retrieval-Augmented Generation pipelines with embeddings, vector databases, retrievers, and advanced search strategies for accurate responses.
Create end-to-end AI applications by integrating LLMs, document, structured outputs, Streamlit interfaces, and real-world deployment patterns.
Skills you will gain
- Category: Data Persistence
- Category: Agentic Workflows
- Category: Context Management
- Category: Python Programming
- Category: AI Orchestration
- Category: Data Validation
- Category: LangGraph
- Category: Multimodal Prompts

