Fundamentals of AI Agents Using RAG and LangChain

Overview

Business demand for technical gen AI skills is exploding, with AI engineers skilled in working with large language models (LLMs) being highly sought after. This Fundamentals of AI Agents using RAG and LangChain course prepares you with job-ready skills to advance your AI career.

In this comprehensive course, you will:

• Explore retrieval-augmented generation (RAG), its applications, and its process
• Understand encoders, their tokenizers, and the FAISS library
• Apply in-context learning techniques and prompt engineering to design and refine prompts for accurate responses
• Learn about LangChain tools, components, and chat models
• Simplify the application development process using LLMs with LangChain
• Gain valuable hands-on practice through online labs developing applications with integrated LLM, LangChain, and RAG technologies

Additionally, you'll complete a real-world project to discuss during interviews, enhancing your resume and extending your generative AI skills.

Enroll today to build job-ready skills in just 8 hours and propel your career in AI engineering.

Provider:

Coursera

Categories:

Prompt Engineering Courses, PyTorch Courses, LangChain Courses, Hugging Face Courses, Retrieval Augmented Generation Courses, AI Agents Courses

Subjects