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:
✏️ Course developed by @GavinLon
💻 Code:
🏗️ 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 AddMovi
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2025/09/30
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