Description
Unboxing AI: Build a Remote MCP Server from Zero to Deployed with OAuth is a complete course on setting up, configuring, and deploying a Model Control Protocol (MCP) server with OAuth authentication, published by LinkedIn Online Academy. This is a hands-on course that guides learners through the complete process of setting up, configuring, and deploying a remote Model Control Protocol (MCP) server integrated with OAuth authentication. You’ll start with the basics—understanding MCP concepts, configuring your development environment, and implementing core server capabilities—and then move on to advanced topics like securing APIs, managing authentication flows, and ensuring proper deployment in production environments. Through step-by-step training, hands-on demonstrations, and real-world examples, you’ll gain the skills you need to confidently create and deploy a functional, secure MCP server that’s ready for real-world applications.
MCP, the Model Context Protocol, enables you to connect almost anything to AI. In this live-streamed series turned course, LinkedIn’s lead trainer, Morten Rand-Hendriksen, explores MCP. You’ll learn what MCP is and why it matters. Then get hands-on and learn how to build MCP servers from scratch, use advanced features like mining and sampling, manage security and permissions, and deploy remote MCP servers for easier access and use.
What you will learn in Unboxing AI: Build a Remote MCP Server from Zero to Deployed with OAuth:
- MCP: Model Context Protocol
- Building an MCP Server
- MCP Extraction and Sampling
- MCP Licensing and Security
- Deploying MCP Servers Remotely with OAuth
- And…
Course specifications
Publisher: LinkedIn
Instructors: Morten Rand-Hendriksen
Language: English
Level: General
Number of Lessons: 54
Duration: 2h and 54m
Course topics
Unboxing AI: Build a Remote MCP Server from Zero to Deployed with OAuth Prerequisites
Access on tablet and phone
Pictures
Unboxing AI: Build a Remote MCP Server from Zero to Deployed with OAuth introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
Download link
File password (s): www.downloadly.ir
Size
592 MB