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LifestyleBeginner-Friendly LangChain Course: Build an AI PDF Document (Udemy.com)
Learn LangChain for AI Applications: Basics to Building PDF Document Search with Prompts, Chains, and Agents
Created by: Gurinder Ghotra
Last updated December 2024
What you will learn
- Build an LLM based App from scratch using Streamlit.
- Learn how Agents work. Understand the 3 components of Agents and code an Agent in LangChain
- Learn how Chains work. Understand and build Simple and Sequential Chains.
- Learn what are Prompts and how to use its structure
- Understand how LangChain works. What are the components that make this library so effective
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.7 out of 5higher than 85% of them
- Reviews56#447 of 462 by number of reviews
- Length1.2 hoursshorter than 96% of them
- Last updatedDecember 2024earlier than 65% of them
Course Description
Course Overview:
This beginner-friendly LangChain course is designed to help you start using LangChain to develop LLM (Large Language Model) applications with NO prior experience! Through hands-on coding examples, you'll learn the foundational concepts and build up to creating a functional AI app for PDF document search.
Why LangChain?
LangChain is poised to become as essential to LLM applications as Pandas is to Data Science. This core library will be invaluable for Data Scientists and Machine Learning professionals building applications with Large Language Models.
What You Will Learn:
LangChain Basics: Gain an understanding of Prompts, Chains, and Agents with easy-to-follow code examples.
Prompts: Learn what a Prompt is and how to create Prompt templates to automate inputs.
Chains: Discover how Prompts integrate into Chains, exploring both Simple and Sequential Chains.
Agents: Master the three components of Agents—Tools, LLMs, and Agent types. Explore Tools like Wikipedia, SerpAPI, and LLMmath to leverage the power of Agents.
Processing PDF Documents: Learn to load and process PDF documents with Large Language Models, utilizing embeddings and vector stores.
Enhancing Model Performance: Work with prompts to improve querying capabilities of GPT-3.5.
Deploying Your AI App: Serve your AI app using Streamlit, making it accessible for real-world applications.
Who This Course Is For:
Beginners interested in building applications with Large Language Models.
Anyone with a limited understanding of Python—this course breaks down the code step-by-step.
Course Highlights:
Step-by-step guidance on building a Large Language Model (LLM) based AI app for PDF document search.
Comprehensive understanding of LangChain's components.
Practical knowledge for deploying AI apps with Streamlit.
All necessary code files and data are provided.
Udemy Discount
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Instructor Details
- 4.7 Rating
56 Reviews
Gurinder Ghotra
I am a Data Scientist working in Toronto. I am passionate about data solutions and intrigued by the journey of data from raw data to model development to product integration.
I have a varied background starting in Finance, pivoting to teaching and Data Science. I have found in this experience the value of learning and learning quickly. I try to impress on my students the value of learning broad and deep - understand many things and master the critical ones.
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Time: 38.3h
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Reviews
By Christopher D on 10/21/2024
Avoid this course it's a rip off. The streamlit code for the app produces deprecation errors; moreover, the instructor relies on some extensions in VS Code and gives no instruction on how to set up the editor so a student may follow along on their own machine.
By Kingsely on 8/24/2024
An excellent course with a perfect balance of theory and practical exercises. The materials were up-to-date and relevant. I’ve learned so much. Thanks Ghotra.
By Rochelle on 8/24/2024
I found this course to be incredibly beneficial. The instructor’s skills and the clear structured format made learning enjoyable and effective. The course exceeded my expectations in every way
By MacDonald on 8/23/2024
It was very technical but a great way to learn what's possible with OpenAI and how LangChain helps developers to speed their work. Im personally a product professional but still found it fun to play with the OpenAI and LangChain tech.
By Olivia Bason on 8/21/2024
After spending several hours playing around with langchain and trying to understand its building blocks, this project came to be quite enlightening. Very informative.
By Robert Smith on 8/21/2024
Great course. Too many good outlines to learn the core concepts of Langchain in a deep way. At the end of the course you have a clear knowledge about Langchain. Very important course.
By Lawrence Logan on 8/20/2024
This course provides a fantastic overview of how to build an AI PDF. The lectures were comprehensive and thoughtful and the resources provided were excellent. thank you!
By Jonathan S on 8/20/2024
This course was exceptionally good. From this course I got to learn a lot of new information. Basically it was wholesome amount of knowledge on how to build an AI PDF document.
By Margaret Jacobs on 8/20/2024
Well laid out and easy to follow. Great content and given how expansive this topic can be, this course did well with hitting all the important parts in a meaningful way. Thank you.
By Jeremy Arthur on 8/20/2024
I like that the course keeps the modules brief and to-the-point. It gives learners plenty of space to process all the information, and the way it was put together allows that information to be retained for longer and more clearly. Thanks
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 94 / 100
- Video Duration:
1.2h - Price: $10.99
- Provider: Udemy
- Updated:
December 2024 - Level:
Beginner - Language:
English - Certificate:
Yes
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