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# Creating a YouTube Video Summary AI Using GPT API

The goal is to learn complex GPT API and Python in the easiest and most hands-on way possible. Using the latest ChatGPT API, we'll develop a YouTube video summarization AI and implement it as a web application using Streamlit.

3 learners are taking this course

  • Essential
실습 중심
AI 활용법
AI 코딩
토이프로젝트
Python
Big Data
AI
ChatGPT
Generative AI

What you will gain after the course

  • Learning How to Process YouTube Subtitle Data for AI Prompts

  • Learning to Use GPT API Beyond Simple Chatbot Interactions

  • Getting Optimization Ideas When Using LLM Technology in Development

Creating a YouTube
Video Summary AI with GPT API

Build practical AI service development experience.


We are in an era where AI technology utilization skills are becoming increasingly important.
Beyond simple chatbots, you can develop GPT API integration and Streamlit utilization skills by creating an AI that automatically summarizes the key content of actual YouTube videos.

Using Python and ChatGPT API,
we'll build a Streamlit-based web service.

We'll complete the entire pipeline that fetches subtitles from a YouTube URL, summarizes them with AI,
and displays the results on the web.

Gain real AI service development experience
and LLM technology optimization ideas.

Creating a YouTube Summary AI with
GPT API and Python

Section 1 - Course Introduction and Development Environment Setup

This section introduces the overall content of the AI-based YouTube video summarization service project, guides you through the learning objectives and the overall course flow. It also covers the basic Python syntax and development environment setup necessary for project implementation.


Section 2 - Implementing YouTube Video Summary AI

Using Python, you will load subtitle data from YouTube videos and integrate with the OpenAI API to summarize the subtitles using ChatGPT. Finally, you will implement the service as a web application using Streamlit through hands-on practice.

Does the complex GPT API feel difficult to you?
This course was made just for people like you.


✔️ Those looking for the next step after learning Python basics

  • Beyond simple Python syntax learning, for those who want to actually build AI services

  • Anyone who wants to directly implement practical AI applications using the ChatGPT API

  • Those who want to learn how to utilize GPT API as various LLM technologies beyond simple chatbots

✔️ Those who want to create utility programs using LLM

  • Anyone who wants to create an AI service that summarizes key content from just a YouTube video link

  • Anyone who wants to easily implement AI development results as web applications using Streamlit

  • Anyone who wants to develop AI model utilization skills through AI prompt design and YouTube subtitle data processing

✔️ Developers who want to apply AI technology in practical work

  • Anyone who wants to experience the actual service development process using the latest ChatGPT API and Python

  • Those who want to gain optimization ideas that may arise when introducing LLM technology and improve their practical application skills

  • Anyone who wants to gain experience building an end-to-end pipeline from data processing to AI analysis and web UI implementation


AI-powered services are no longer just vague ideas.
Turn the ideas you want to create with your own hands into reality.

Pre-Course Information


Practice Environment

  • Operating System: Windows, macOS, and Linux are all supported.

  • Essential Tools: You'll need Python and a code editor like VS Code or PyCharm.

  • Recommended Specifications: 4GB or more of RAM is recommended for a smooth development environment.

Prerequisites and Important Notes

  • You need to understand Python basic syntax (variables, lists, functions, loops).


  • Having a basic understanding of LLM (Large Language Models) concepts will be helpful for learning.

Learning Materials

  • All Python code example files used in the lectures are provided.

  • The materials include information on how to implement web UI using Streamlit.

  • Practice materials on OpenAI API integration and GPT model utilization are provided.


Recommended for
these people

Who is this course right for?

  • Those who have completed basic Python learning and are looking for what to learn next

  • Anyone who wants to create a utility program using LLM

Need to know before starting?

  • Python Variables, Conditionals, Functions, and Other Basic Concepts

  • The class will cover a $5 ChatGPT credit payment. (You can modify part of the code to use a local LLM)

Hello
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145

Learners

21

Reviews

4.7

Rating

6

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Curriculum

All

10 lectures ∙ (55min)

Published: 
Last updated: 

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