RAG Skills you will learn

  • RAG Overview
  • Building Data Retrieval Systems
  • Integrating Generative AI Models
  • Working with APIs and Data Sources
  • Developing Dynamic Workflows
  • Deploying RAG Applications

Who should learn this free RAG course?

  • AI Developer
  • Machine Learning Engineer
  • NLP Engineer
  • Data Engineer
  • Data Scientist
  • Chatbot Developer

What you will learn in this free RAG course?

  • Build an App with RAG

    • Introduction

      01:07
      • Introduction
        01:07
    • Lesson 1: RAG (Retrieval Augmented Generation)

      27:51
      • RAG(Retrieval Augmented Generation)
        27:51
    • Lesson 2: Build a Q&A App with RAG using Gemini Pro and LangChain

      26:48
      • Build a Q&A App with RAG using Gemini Pro and LangChain
        26:48
    • Lesson 3: Build a Q&A App with RAG LangChain and Open Source LLMs

      22:29
      • Build a Q&A App with RAG LangChain and Open Source LLMs
        22:29

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Why you should learn RAG?

$356.03 Billion

Expected size of the global Generative AI market by 2030.

$163K+ (USA) | INR 10.5 LPA

Average Salary of an Machine Learning Engineer annually.

About the Course

In this Build an App with RAG course, you will learn to create advanced AI-powered applications using Retrieval-Augmented Generation (RAG) techniques. This course covers how to integrate data retrieval with generative AI models like GPT to enhance app functionality. You'll gain hands-on experience in building context-aware applications that retrieve relevant information and generate high-quality responses, making it ideal for those looking to develop smarter, more e

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FAQs

  • What is the Build an App with RAG course about?

    This course teaches you how to build an application using Retrieval-Augmented Generation (RAG), a technique that combines information retrieval with generative AI to provide context-aware, accurate outputs. You will learn to integrate APIs, manage external data sources, and use AI models like GPT to generate meaningful responses.

  • Do I need prior programming knowledge to take this Build an App with RAG course?

    While basic programming knowledge (especially Python) is helpful, the course focuses on no-code/low-code methods using RAG, so it's beginner-friendly for those without extensive coding experience.

  • What is RAG (Retrieval-Augmented Generation)?

    RAG is a technique that enhances generative AI models by retrieving relevant information from external data sources before generating a response. It combines the power of search with natural language generation to provide more accurate and contextually rich outputs.

  • Which AI models are covered in this Build an App with RAG course?

    The course covers using GPT-based models, like GPT-3.5 or GPT-4, and other retrieval models for integrating external data and improving response accuracy.

  • What tools will I learn to use in this Build an App with RAG course?

    You will learn to use APIs, external data sources, LangChain, and other tools to connect and enhance the functionality of your RAG-powered application.

  • Can I build my own app using RAG after completing this Build an App with RAG course?

    Yes! By the end of the course, you will have the knowledge to build and deploy your own RAG-powered applications, such as chatbots, question-answering systems, and personalized recommendation engines.

  • What are the prerequisites for this Build an App with RAG course?

    There are no strict prerequisites, but familiarity with basic programming concepts and an understanding of how AI models work will be beneficial for understanding the course content more easily.

  • Is this course suitable for professionals in AI or machine learning?

    Yes, this course is perfect for those in AI, data science, and machine learning looking to implement RAG techniques in their projects, especially when combining generative AI with external knowledge sources.

  • How long is the Build an App with RAG course?

    This course Build an App with RAG is 2 hours long.

  • How will completing this Build an App with RAG course benefit my career?

    By completing the Build an App with RAG course, you will gain valuable experience in building AI-powered applications using advanced techniques. This skill is highly sought after in AI development, machine learning, and software engineering, providing you with a competitive edge in the tech industry.

  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.