- Context Management
- Development Environment
- LangChain
- Retrieval-Augmented Generation
- Python Programming
- Embeddings
- Application Development
- Document Management
- AI Workflows
- Vector Databases
- Prompt Engineering
- LLM Application
The Complete LangChain & LLMs Guide
Completed by Yuvraj Singh
May 7, 2025
13 hours (approximately)
Yuvraj Singh's account is verified. Coursera certifies their successful completion of The Complete LangChain & LLMs Guide
What you will learn
Design scalable AI solutions using LangChain and LLMs, integrating memory, chains, agents, and embeddings.
Build practical applications like chatbots, document parsers, and innovative AI-driven tools.
Enhance your projects with advanced technologies, including Streamlit, Chroma DB, and HuggingFace.
Skills you will gain
