Learn MCP (Model Context Protocol)

1h 7m 34s
English
Paid

Course description

If you are interested in AI that not only talks but actually does things - this compact course is for you. Get ready to dive into the Model Context Protocol (MCP)!

MCP is an open standard initially proposed by Anthropic. It is designed to easily and flexibly connect large language models (LLMs) with external data sources, tools, and systems. Just as USB-C standardizes hardware ports, MCP standardizes protocols for connecting AI to content repositories, APIs, databases, business software, coding tools, and much more.

In other words, it's your secret tool that turns AI into a universal assistant capable of performing any tasks you can imagine.

In the course, we combine theory with practical examples. You will see how MCP works in real cases: what tasks it helps solve and what new opportunities it opens up. We will go over best practices, common mistakes, and demonstrate in detail how to create real AI tools using MCP.

After completing the course, you will be able to confidently apply MCP in your own projects.

There is no empty theory here - only practical and modern AI Engineering skills that you can use immediately.

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#1: Introduction

All Course Lessons (10)

#Lesson TitleDurationAccess
1
Introduction Demo
12:21
2
Game Plan for MCP with OpenAI
08:11
3
Setup
03:25
4
Web Browsing with Fetch
10:22
5
MCP Approval
03:33
6
Including Approval in API Call
05:17
7
Specifying Approvals: Deepwiki - Part 1
06:50
8
Specifying Approvals: Deepwiki - Part 2
03:34
9
Authentication with Stripe MCP - Part 1
06:42
10
Authentication with Stripe MCP - Part 2
07:19

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