- Prompt Engineering
- LLM Application
- Hugging Face
- Large Language Modeling
- PyTorch (Machine Learning Library)
- Natural Language Processing
- Generative AI
- Retrieval-Augmented Generation
- Embeddings
Fundamentals of AI Agents Using RAG and LangChain
Completed by Daniel Mena
February 6, 2025
7 hours (approximately)
Daniel Mena's account is verified. Coursera certifies their successful completion of Fundamentals of AI Agents Using RAG and LangChain
What you will learn
In-demand, job-ready skills businesses seek for building AI agents using RAG and LangChain in just 8 hours
How tapply the fundamentals of in-context learning and advanced prompt engineering timprove prompt design
Key LangChain concepts, including tools, components, chat models, chains, and agents
How tbuild AI applications by integrating RAG, PyTorch, Hugging Face, LLMs, and LangChain technologies
Skills you will gain
