Udemy
MCP : Agent Skill, Claude Code, GenAI Model Context Protocol
Artificial Intelligence · Development
Library / Artificial Intelligence
On Udemy
Welcome to the absolute bleeding edge of software architecture. In 2026, we have crossed the inflection point where AI coding agents can work fast, independently, and reliably to build entire platforms. This bootcamp equips builders of all backgrounds to deliver massive software projects and highly complex data workstations at an extraordinary pace.
Engineer Production-Grade AI Systems And Multi-Agent Swarms From ScratchArchitect complete SaaS products and commercial MVPs without getting bogged down in theory.
Orchestrate multiple AI agents working in parallel using Gastown and Spec-Driven Design (GSD).
Deploy secure, autonomous continuous iteration pipelines (Ralph Loops) in the cloud.
Build a live-market systematic trading dashboard handling real-time financial data.
The Shift to Agentic Engineering The software engineering landscape has fundamentally shifted. The days of simply asking an LLM for a code snippet and manually pasting it into an IDE are over. Today, the most effective developers operate as Lead Architects, commanding fleets of autonomous coding agents like Claude Code to navigate massive codebases, integrate complex APIs via the Model Context Protocol (MCP), and open pull requests autonomously. Whether you are a non-technical visionary building a commercial MVP or a senior engineer looking to scale your daily output, mastering agentic workflows is the ultimate multiplier.
How We Build We bypass the generic theory and dive straight into high-win-rate, production-grade outputs. In this three-phase masterclass, we will transition you from basic "Vibe Coding" into rigorous "Vibe Engineering."
First, we establish your foundation by mastering single-agent workflows across IDEs like Cursor and tools like GitHub Copilot. From there, we move out of the IDE and directly into the terminal to unlo
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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