Build an LMS Platform: Next.js 13, React, Stripe, Mux, Prisma, Tailwind, MySQL | Full Course 2023

This is a repository for Build an LMS Platform: Next.js 13, React, Stripe, Mux, Prisma, Tailwind, MySQL | Full Course 2023

VIDEO TUTORIAL

Key Features:

• Browse & Filter Courses
• Purchase Courses using Stripe
• Mark Chapters as Completed or Uncompleted
• Progress Calculation of each Course
• Student Dashboard
• Teacher mode
• Create new Courses
• Create new Chapters
• Easily reorder chapter position with drag n’ drop
• Upload thumbnails, attachments and videos using UploadThing
• Video processing using Mux
• HLS Video player using Mux
• Rich text editor for chapter description
• Authentication using Clerk
• ORM using Prisma
• MySQL database using Planetscale

Prerequisites

Node version 18.x.x

Cloning the repository

git clone https://github.com/AntonioErdeljac/next13-lms-platform.git

Install packages

npm i

Setup .env file

NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY=
CLERK_SECRET_KEY=
NEXT_PUBLIC_CLERK_SIGN_IN_URL=
NEXT_PUBLIC_CLERK_SIGN_UP_URL=
NEXT_PUBLIC_CLERK_AFTER_SIGN_IN_URL=
NEXT_PUBLIC_CLERK_AFTER_SIGN_UP_URL=

DATABASE_URL=mysql://root:example_password@localhost:3306/example_db

UPLOADTHING_SECRET=
UPLOADTHING_APP_ID=

MUX_TOKEN_ID=
MUX_TOKEN_SECRET=

STRIPE_API_KEY=
NEXT_PUBLIC_APP_URL=http://localhost:3000
STRIPE_WEBHOOK_SECRET=

NEXT_PUBLIC_TEACHER_ID=
OPENAI_API_KEY=

Setup Database and Prisma

For initial setup

npx prisma generate
npx prisma db push

For updating schema & custom db migration

npx prisma migrate dev --create-only
# customize the newly generated migration.sql script

npx prisma migrate deploy

npx prisma generate # run this to regenerate the prisma client

Start the app

npm run dev

Available commands

Running commands with npm npm run [command]

command	description
dev	Starts a development instance of the app

Open-source everthing

• Tdarr: https://docs.tdarr.io/docs/installation/docker/run-compose (Later try)

• Fluent FFMPEG: https://github.com/fluent-ffmpeg/node-fluent-ffmpeg (Quick one -> Create an adapter for build & deploy)

• Implementation reference for VOD: https://github.com/theserverfault/HLS-transcoding-nodejs/blob/master/create-hls-vod.sh

• VOD on AWS: https://github.com/aws-solutions/video-on-demand-on-aws (Adapter for upload & transcode video)

• Upload: Mount to local file (Adapter)

• Stream CDN: https://github.com/MohamedBakoush/docker-HLS-streaming-server/blob/main/Dockerfile

Elasticsearch & Kibana

Local setup

Run these 2 commands

docker-compose up -d elastic
docker-compose up -d kibana

And then follow the instructions here: https://www.elastic.co/guide/en/elasticsearch/reference/current/run-elasticsearch-locally.html to set it up properly.

For maintaing configuration, we can use https://library.tf/providers/elastic/elasticstack/latest/docs/resources/elasticsearch_script