No Code Custom Gpt Search For Video Courses

A guide for non-programmers

What you'll learn

How to transcribe your couse videos

How to get subheadings for the transcript using an LLM

How to merge the transcript and the subheadings to create an OutScript

How to Implement custom GPT search using OutScripts

Requirements

No programming experience needed

Basic knowledge of how to use Large Language Models like ChatGPT

Description

Regular search can help students find keywords inside your Udemy course, but it cannot find synonyms or answer questions which are asked in natural language.ChatGPT can answer questions which are asked in natural language, but it cannot answer questions based on your course.What if you could build a system which can use GPT to answer questions based on your course? This is usually called a custom GPT search, and this is now possible using a combination of off-the-shelf software tools. (Note: off-the-shelf, but not free). Implementing a custom GPT search usually requires some programming knowledge, as well as some basic knowledge of Retrieval Augmented Generation (RAG)However, the system I describe in this course helps you build custom GPT search specific to your course, without writing any code, and without having to learn about any of the theoretical aspects of how Large Language Models work. If you are an instructorThis course explains how you can use AI tools can improve the student learning experience by implementing a custom GPT search for your video lessons. Benefits of creating a custom GPT search for video coursesThe tool I recommend for GPT search can provide multiple benefits:Generate a video summary (Demo 1)Generate lesson review questions (Demo 2)Generate step by step text instructions (Demo 3)Get answers which span multiple videos (Demo 4)Summarize topics across all the videos (Demo 5)Augment the video lesson with world knowledge (Demo 6)If you are a studentYou can implement this system if you have local copies of the course videos on your computer.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: How GPT can improve your online course

Lecture 2 What is an OutScript?

Lecture 3 Demo 1: Get lesson summary

Lecture 4 Demo 2: Get review questions

Lecture 5 Demo 3: Step by step text instructions

Lecture 6 Demo 4: Answers which span multiple videos

Lecture 7 Demo 5: Summary of concepts across all videos

Lecture 8 Demo 6: Incorporating external (world) knowledge

Section 3: How to implement custom GPT search?

Lecture 9 Transcribe your videos

Lecture 10 Get chapters with timestamps

Lecture 11 Generate the OutScript

Lecture 12 Convert Markdown to PDF

Lecture 13 Upload PDF files to ChatPDF

Lecture 14 Retrieval Augmented Generation (RAG): A quick overview

Section 4: Tips for instructors

Lecture 15 Use TurboScribe subtitles

Lecture 16 Add summary to lesson description

Lecture 17 Add review questions to lesson description

Lecture 18 (Mac Users Only) Create course preview using Quiver app

Non programmers who are creating online courses