QAZero to Hero · 30 Days
Learn MCP - Zero to Hero
Learn MCP through this 30-day Zero to Hero series designed for beginners and developers. Master the Model Context Protocol step by step with practical examples, hands-on projects, MCP servers, clients, tools, resources, and real-world integrations. No prior AI or protocol experience is required.
16 lessons live
14 coming soon
Free Forever
Course Lessons
16 of 30 published
01
What is MCP? 🚀
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02
Why MCP Matters for AI Agents
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03
MCP vs REST APIs vs Plugins: 7 Powerful Distinctive differences
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04
MCP Architecture: Powerful Deep Dive Into Hosts, Clients, Servers and Data Flow
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05
Build Your First Production-Ready MCP Development Environment (Python & VS Code)
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06
Build Your First MCP Server in Python: A Production-Ready Guide for Beginners
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07
Master the 4 MCP Transport Layer Options: STDIO vs HTTP vs SSE vs WebSockets
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08
MCP Client Lifecycle: From Initialization to Tool Execution
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09
MCP Server Lifecycle: From Startup to Graceful Shutdown
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10
MCP Tools Explained: Building the Core Capabilities of an MCP Server
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11
MCP Resources Explained: Sharing Data Without Executing: Best Practices Every AI Engineer Must Know
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12
MCP Prompts Explained: Reusable AI Instructions in the Model Context Protocol
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13
MCP Sampling Explained: How Servers Request AI Model Completions
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14
MCP Roots Explained: Powerful and Secure Filesystem Access for AI Agents
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15
MCP Roots vs Resources vs Tools: 7 Powerful Data Access Patterns Every AI Engineer Must Master
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16
MCP Client Capabilities Explained: Roots, Sampling, Elicitation and Experimental Features
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