Beginner-Friendly LangChain Course: Build an AI PDF Document

Beginner-Friendly LangChain Course: Build an AI PDF Document, available at $54.99, has an average rating of 4.91, with 13 lectures, based on 51 reviews, and has 1016 subscribers.

You will learn about 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 This course is ideal for individuals who are Beginner A.I. enthusiasts who want to understand how Large Language Models can be used by using Langchain or Serve LLM based app using Streamlit It is particularly useful for Beginner A.I. enthusiasts who want to understand how Large Language Models can be used by using Langchain or Serve LLM based app using Streamlit.

Enroll now: Beginner-Friendly LangChain Course: Build an AI PDF Document

Summary

Title: Beginner-Friendly LangChain Course: Build an AI PDF Document

Price: $54.99

Average Rating: 4.91

Number of Lectures: 13

Number of Published Lectures: 12

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 12

Original Price: $19.99

Quality Status: approved

Status: Live

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

Who Should Attend

Beginner A.I. enthusiasts who want to understand how Large Language Models can be used by using Langchain
Serve LLM based app using Streamlit

Target Audiences

Beginner A.I. enthusiasts who want to understand how Large Language Models can be used by using Langchain
Serve LLM based app using Streamlit

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.

Course Curriculum

Chapter 1: Course structure

Lecture 1: Course Overview

Chapter 2: Introduction to Langchain

Lecture 1: Introduction to LangChain

Chapter 3: Prompts and Prompt Templates

Lecture 1: Prompts and Prompt Templates

Chapter 4: Chains – Simple and Sequential Chains

Lecture 1: Chains – Simple and Sequential Chains

Chapter 5: Agents – Most powerful feature of LangChain

Lecture 1: Agents – Most powerful feature of LangChain

Chapter 6: Project- PDF Reader App -Solve real world problem faced by H.R. dept.

Lecture 1: Introduction -What are we building

Lecture 2: Overview – Design Steps

Lecture 3: Code – Pdfs to Text

Lecture 4: Overview of Embeddings (Optional)

Lecture 5: Code – Embeddings

Lecture 6: Code Query Building

Lecture 7: Build Streamlit App

Instructors

Gurinder Ghotra
Data Scientist

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 0 votes
4 stars: 2 votes
5 stars: 48 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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