End to end RAG Application Development with LangChain and Streamlit

  • IntermediateLevel

  • 308+Students Enrolled

  • 30 MinsDuration

  • 4.5Average Rating

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About this Course

  • Build RAG apps with LangChain & Streamlit for efficient AI-powered workflows and retrieval.
  • Master seamless data retrieval, interactive UI, and the real-time user engagement.
  • Gain valuable hands-on experience in developing and deploying dynamic, AI-driven applications effectively.

Learning Outcomes

Master RAG Concepts

Deep dive into Retrieval-Augmented Generation (RAG) & its uses

Work with LangChain

Build AI-powered apps with LangChain for seamless data retrieval.

Build Interactive AI Apps

Build user-friendly, real-time apps with Streamlit for engagement.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

tools

  1. 1. End to End RAG Application Development

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Dipanjan Sarkar

Principal AI Scientist

Dipanjan Sarkar, Lead Data Scientist, Author & Consultant, has 10+ years of expertise in ML, DL, GenAI, CV & NLP. He has led AI initiatives across Fortune 100 firms & startups, building data products & upskilling professionals at all levels

Get this Course Now

With this course you’ll get

  • 30 Mins

    Duration

  • Dipanjan Sarkar

    Instructor

  • Intermediate

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility
certificate

Frequently Asked Questions

Looking for answers to other questions?

LangChain is a framework for building applications powered by language models, offering seamless integration with data sources and retrieval techniques.

Streamlit is a Python library that simplifies creating interactive web applications, making it ideal for visualizing and presenting your RAG applications.

This course is designed for developers, data scientists, and AI enthusiasts who want to create advanced AI applications. Basic knowledge of Python and familiarity with LLMs is recommended.

Yes, the course includes practical, hands-on projects where you’ll build end-to-end App based on RAG Application with LangChain and Streamlit.

Yes, the course provides a certification upon completion.

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