- Prompt Engineering
- LLM Application
- PyTorch (Machine Learning Library)
- Large Language Modeling
- Embeddings
- Hugging Face
- Retrieval-Augmented Generation
- Natural Language Processing
- Generative AI
Fundamentals of AI Agents Using RAG and LangChain
Completed by Aahil Ashiq Ali
February 4, 2025
7 hours (approximately)
Aahil Ashiq Ali'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
