Fundamentals of AI Agents Using RAG and LangChain
IBM
Business demand for technical gen AI skills is exploding, and AI engineers who can work with large language models (LLMs) are in high demand. This Fundamentals of Building AI Agents using RAG and LangChain course builds job-ready skills that will fuel your AI career. In this course, youâll explore retrieval-augmented generation (RAG), prompt engineering, and LangChain concepts. Youâll learn about the RAG process, its applications, encoders and tokenizers, and the FAISS library for high-dimensio
About this Course
Business demand for technical gen AI skills is exploding, and AI engineers who can work with large language models (LLMs) are in high demand. This Fundamentals of Building AI Agents using RAG and LangChain course builds job-ready skills that will fuel your AI career. In this course, youâll explore retrieval-augmented generation (RAG), prompt engineering, and LangChain concepts. Youâll learn about the RAG process, its applications, encoders and tokenizers, and the FAISS library for high-dimensio
What You'll 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
Instructors
Abdul Fatir
Kang Wang
Joseph Santarcangelo
IBM Developer Skills Network
Wojciech 'Victor' Fulmyk