Introduction to Retrieval Augmented Generation (RAG)
$9.99
ENROLL NOWCourse Overview
What You'll Learn
- In this 2-hour project-based course, you will learn how to import data into Pandas, create embeddings with SentenceTransformers, and build a retrieval augmented generation (RAG) system with your data, Qdrant, and an LLM like Llamafile or OpenAI.
- This hands-on course will teach you to build an end-to-end RAG system with your own data using open source tools for a powerful generative AI application.
In this 2-hour project-based course, you will learn how to import data into Pandas, create embeddings with SentenceTransformers, and build a retrieval augmented generation (RAG) system with your data, Qdrant, and an LLM like Llamafile or OpenAI. This hands-on course will teach you to build an end-to-end RAG system with your own data using open source tools for a powerful generative AI application.
Course FAQs
Is this an accredited online course?
Accreditation for 'Introduction to Retrieval Augmented Generation (RAG)' is determined by the provider, Duke University. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Introduction to Retrieval Augmented Generation (RAG)' on the Duke University online class platform, where you can complete your registration.
