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Explore Build a Full Stack Movie Streaming App in Go – Golang, React, MongoDB, OpenAI API Project Course with 179,328 views, 4,699 likes, and 146 comments. Experience the impact of this video content that has captured audience attention.

Lean how to build a complete full-stack movie streaming app with AI-powered movie recommendations. You’ll use Go with the Gin-Gonic framework on the backend, React on the frontend, and MongoDB for data storage. For the AI features, you’ll connect your Go backend to OpenAI using LangChainGo. Sign up for MongoDB Atlas: https://www.mongodb.com/ ✏️ Course developed by @GavinLon 💻 Code: https://github.com/GavinLonDigital/MagicStream 🏗️ MongoDB provided a grant to make this course possible. ⭐️ Contents ⭐️ - 0:00:00 Introduction and Overview of the Course - 0:10:14 Setup Development Environment - 0:10:19 Install MongoDB and Compass (GUI for MongoDB) - 0:14:05 Install MongoDB Shell - 0:17:54 Launch Compass, Create and Seed MagicStream MongoDB Database - 0:23:38 Use MongoDB Shell to Interact with MongoDB Database - 0:29:42 Install Go (Golang) on Dev Machine - 0:34:31 Create Basic Go Application using Command Line Interface and Notepad - 0:38:45 Install Visual Studio Code on Dev Machine - 0:42:42 Create Full-stack Project Infrastructure in VSCode - 0:44:38 Create go.mod file for Go/Gin-Gonic Web API - 0:47:32 Install Go Extension for Visual Studio Code - 0:51:00 Start Creation of Code for Go/Gin-Gonic Web API - 0:51:26 Install Gin-Gonic (Gin) Web Framework - 1:06:33 Create Movie Model and GetMovies End Point - 1:31:01 Create Movie Controller - 1:33:01 Create GetMovies Gin-Gonic Endpoint Handler Function - 1:44:20 Create Reusable MongoDB Connection Code in database Package - 2:16:46 Create GetMovie Endpoint Function Handler - 2:35:58 Create AddMovie Endpoint Function Handler - 3:02:34 Install Postman and use Postman to test Post Request to AddMovie Endpoint - 3:14:41 Create User Model - 3:44:00 Create RegisterUser Endpoint Handler Function - 4:20:25 Create Login Functionality - 5:29:52 Create Middleware Functionality to Validate Incoming Access Tokens - 5:50:23 Configure Protected and Unprotected Gin (gin-gonic) Routes - 6:06:49 Update Movie Review - Engage with openAI through LangChainGo - 6:34:22 Sign up for Account with openAI - 6:59:32 Create Movie Recommendation Service Powered by AI - 8:13:57 Go/Gin-Gonic Best Practices - Minor Code Amendments - 8:54:51 Create Frontend Code Using React - 9:02:57 Create UI for Home Page - 9:59:05 Create Header Component - 10:24:43 Setup Routes using react-router-dom - 10:24:58 Create User Registration UI - 10:56:59 Create Login UI - 11:10:30 Create Auth Provider and Auth Context Functionality - 11:39:31 Create UI for Movie Recommendation Service - 12:05:37 Create UI for Updating Admin Movie Reviews - 12:38:29 Amend Code so that Access Token is Stored in http-only cookies (prevent XSS attacks) - 13:41:01 Using react-player to Play Movies in Browser - 14:04:27 Deploy full stack Web App to the Cloud - 14:08:13 Deploy MongoDB to Atlas and Seed Data from Local MongoDB - 14:18:42 Deploy Go/Gin-Gonic Web API to Render - 14:35:31 Deploy React Client Code to Vercel - 14:44:48 Outro

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