Free RAG for Beginners Course | Learn RAG Basics

FAQs

• What is the RAG for Beginners course about?

   The RAG for Beginners course introduces you to Retrieval-Augmented Generation (RAG), teaching how to combine retrieval-based and generative models for better AI results. Learn the basics, applications, and implementation of RAG in real-world scenarios.

• Who should take the RAG for Beginners course?

   This course is ideal for beginners, AI enthusiasts, and developers looking to understand RAG and its applications in natural language processing (NLP) and machine learning.

• Do I need prior knowledge of AI or machine learning to take this course?

   While some basic understanding of AI and machine learning will be helpful, the course is designed for beginners, and no advanced knowledge is required.

• What will I learn in the RAG for Beginners course?

   You will learn the fundamentals of Retrieval-Augmented Generation, how it works, its applications in NLP, and how to integrate retrieval and generative models effectively.

• Is coding required for the RAG for Beginners course?

  Yes, some basic coding knowledge, particularly in Python, will be necessary to follow along with the course’s hands-on examples and exercises.

• How long is the RAG for Beginners course?

   This course on RAG for Beginners is 2 hours long.

• Can I apply what I learn in this course to real-world projects?

   Yes, the course provides practical insights and hands-on examples that you can apply directly to real-world AI projects involving NLP and generative models.

• Will I receive a certificate after completing the RAG for Beginners course?

  Yes, upon completing the course, you will receive a certificate to showcase your understanding of Retrieval-Augmented Generation techniques.

• What tools and software do I need for this course?

   You will need Python and basic machine learning libraries (like PyTorch or TensorFlow) to complete the hands-on exercises.

• Is the RAG for Beginners course free?

  Yes, the RAG for Beginners course is free, providing you with an accessible introduction to RAG and AI techniques.