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Complete Generative AI Course With Langchain and Huggingface (Udemy.com)

Complete Guide to Building, Deploying, and Optimizing Generative AI with Langchain and Huggingface

Created by: Krish Naik

Last updated August 2026

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What you will learn

  • Learn to create advanced generative AI applications leveraging the Langchain framework and Huggingface's state-of-the-art models.
  • Understand the architecture and design patterns for building robust generative AI systems.
  • Gain hands-on experience in deploying generative AI models to various environments, including cloud platforms and on-premise servers.
  • Explore different deployment strategies, ensuring scalability and reliability of AI applications.
  • Develop Retrieval-Augmented Generation (RAG) pipelines to enhance the performance and accuracy of generative models by integrating retrieval mechanisms.
  • Learn to seamlessly incorporate Huggingface's pre-trained models into Langchain applications, leveraging their powerful NLP capabilities.
  • Customize and fine-tune Huggingface models to fit specific application requirements and use cases.

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.5 out of 5higher than 46% of them
  • Reviews20,338#10 of 462 by number of reviews
  • Length70 hourslonger than 98% of them
  • Last updatedAugust 2026more recently than 86% of them

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Course Description

Unlock the full potential of Generative AI with our comprehensive course, "Complete Generative AI Course with Langchain and Huggingface." This course is designed to take you from the basics to advanced concepts, providing hands-on experience in building, deploying, and optimizing AI models using Langchain and Huggingface. Perfect for AI enthusiasts, developers, and professionals, this course offers a practical approach to mastering Generative AI.

What You Will Learn:

  • Introduction to Generative AI:

    • Understand the fundamentals of Generative AI and its applications.

    • Explore the differences between traditional AI models and generative models.

  • Getting Started with Langchain:

    • Learn the basics of Langchain and its role in AI development.

    • Set up your development environment and tools.

  • Huggingface Integration:

    • Integrate Huggingface's state-of-the-art models into your Langchain projects.

    • Customize and fine-tune Huggingface models for specific applications.

  • Building Generative AI Applications:

    • Step-by-step tutorials on creating advanced generative AI applications.

    • Real-world projects such as chatbots, content generators, and data augmentation tools.

  • Deployment Strategies:

    • Learn various deployment strategies for AI models.

    • Deploy your models to cloud platforms and on-premise servers for scalability and reliability.

  • RAG Pipelines:

    • Develop Retrieval-Augmented Generation (RAG) pipelines to enhance AI performance.

    • Combine generative models with retrieval systems for improved information access.

  • Optimizing AI Models:

    • Techniques for monitoring and optimizing deployed AI models.

    • Best practices for maintaining and updating AI systems.

  • End-to-End Projects:

    • Hands-on projects that provide real-world experience.

    • Build, deploy, and optimize AI applications from scratch.

Who Should Take This Course:

  • AI and Machine Learning Enthusiasts

  • Data Scientists and Machine Learning Engineers

  • Software Developers and Engineers

  • NLP Practitioners

  • Students and Academics

  • Technical Entrepreneurs and Innovators

  • AI Hobbyists

By the end of this course, you will have the knowledge and skills to build, deploy, and optimize generative AI applications, leveraging the power of Langchain and Huggingface. Join us on this exciting journey and become a master in Generative AI!

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Instructor Details

Krish Naik

I am the Ex Co-founder and Chief AI Engineer of iNeuron and my experience is pioneering in machine learning, deep learning, and computer vision,Generative AI,an educator, and a mentor, with over 15 years' experience in the industry. These are my Udemy Courses where I explain various topics on machine learning, deep learning, and AI with many real-world problem scenarios. I have delivered over 30+ tech talks on data science, machine learning, and AI at various meet-ups, technical institutions, and community-arranged forums. My main aim is to make everyone familiar of ML and AI.

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Reviews

4.5

20,338 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Sagar Patel on 9/25/2026

so far the tutor is teaching just Python, and nothing about genAI or langchain oe anything for which i hvae come here. Also he is just giving a walkthrough kind of a thing to the python and not going very deep. This course is not for beginners for sure, whoever wants to purchase this course should have some prior coding experience and knowledge about concepts like data structures, loops and basic coding concepts.

By Rushikesh Gapat on 9/20/2026

One question Only the course is a bit lengthy so I jumped from simple RNN indept intition to Introduction (sec 12) to Gen AI (sec 21). it feels like those sessions are giving too much information which is not needed for gen AI. I may be wrong but lets see how it goes

By Amanoh Marcel Emeka on 9/5/2026

Great personal experience. Real improvement to my ai knwledge and coding experince

By Satwik Sharma on 8/19/2026

Maybe I bought this course a little late but some of the libraries or model used in the videos have be deprecated. Overall the content is fantastic and easy to follow but not up to date for now.

By Nikhil Rawat on 7/23/2026

Really the way Krish explain the concept is really wonderful

By Jana on 5/15/2026

I'm a BBA Graduated and having a interest to learn AI. This course helping me to learn GEN AI and Really the course was amazing to learn from scratch. Thank You Krish sir.

By Shivanik on 4/16/2026

Indepth & detailed explanations. The instructor makes it easy to understand complex problems. Would definitely recommend this course

By Karthikeya on 3/23/2026

The course is very good, we'll get to know the fundamentals we'll. but we need to work on projects parlelly or else everything is going to be wasted

By Debashis Jena on 3/17/2026

yaa .. it is very good to learn but there is an isuue a beginer cannot understand concepts which are you telling its the problems.. im not a beginner so i can understand what about begineers

By Kartikeya Agnihotri on 2/7/2026

Loved the way Krish managed to include ml , dl , gen ai and agent basics in a single course . Thank you Buddy

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Overall Score : 90 / 100