Build an OpenAI + LangChain App in Python- YouTube Analyzer

Build an OpenAI + LangChain App in Python: YouTube Analyzer, available at $54.99, has an average rating of 4.67, with 20 lectures, based on 3 reviews, and has 69 subscribers.

You will learn about Use LangChain framework to create AI applications Use OpenAI API in Python Apps Get transcript from YouTube video in Python Create Web Applications in Python using Streamlits This course is ideal for individuals who are Developers who want to develop AI and NLP applications or Organizations who want to use its own data for AI Application or Organizations who want to develop their own ChatGPT like apps It is particularly useful for Developers who want to develop AI and NLP applications or Organizations who want to use its own data for AI Application or Organizations who want to develop their own ChatGPT like apps.

Enroll now: Build an OpenAI + LangChain App in Python: YouTube Analyzer

Summary

Title: Build an OpenAI + LangChain App in Python: YouTube Analyzer

Price: $54.99

Average Rating: 4.67

Number of Lectures: 20

Number of Published Lectures: 20

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 20

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Use LangChain framework to create AI applications

Use OpenAI API in Python Apps

Get transcript from YouTube video in Python

Create Web Applications in Python using Streamlits

Who Should Attend

Developers who want to develop AI and NLP applications

Organizations who want to use its own data for AI Application

Organizations who want to develop their own ChatGPT like apps

Target Audiences

Developers who want to develop AI and NLP applications

Organizations who want to use its own data for AI Application

Organizations who want to develop their own ChatGPT like apps

In this course, you will begin by setting up your Python and VS Code development environment. We will then introduce the LangChain Framework, which is a powerful tool for building AI applications. You will also learn about obtaining an OpenAI APIKey.

Throughout the course, we will guide you in developing a Python application that can read YouTube video transcripts using the pytubelibrary. We will demonstrate how to create a Vector Database from these transcripts using LangChain. Additionally, you will learn how to query the Vector Database using the OpenAI API.

Furthermore, we will introduce you to Excalidraw, a versatile tool for creating visual illustrations.

App with elegant look and feel will be developed using Python streamlit. Separate lectures are provided on how to install and run streamlit apps.

Finally, we will guide you in deploying your application using a cloud hosting service, ensuring that it is accessible through a web-based user interface.

By the end of this course, you will have gained the necessary skills to build a sophisticated Python app that can process YouTube video transcripts, utilize AI capabilities through the OpenAI API, and present the results through an intuitive web interface.

Complete source code will be shared with you on GitHub.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to the course

Lecture 2: Python Installation

Lecture 3: Install VS Code

Lecture 4: Setup Project Structure in VS Code

Lecture 5: Sketch User Interface in ExcaliDraw

Lecture 6: Create GitHub Repository

Chapter 2: LangChain and OpenAI

Lecture 1: Introducing Pytube library

Lecture 2: Retrieve YouTube video transcript in Python

Lecture 3: Introduction to LangChain

Lecture 4: How to get OpenAI API Key?

Lecture 5: Create Vector Database from Text File (YouTube Transcript)

Lecture 6: How to Query Vector Database?

Lecture 7: Analyze YouTube Video Transcript

Chapter 3: Streamlits in Python

Lecture 1: Introduction to Streamlits

Lecture 2: How to install and run streamlits?

Chapter 4: The Web Interface of Python app using streamlit

Lecture 1: Interface Design

Lecture 2: Developing Final version of the app

Chapter 5: Publishing the app

Lecture 1: Publish Project on GitHub

Lecture 2: Publish App on Cloud Hosting

Lecture 3: Complete Code

Instructors

Haider Ali
Full Stack Developer

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4 stars: 1 votes

5 stars: 2 votes

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