本课程带你从零基础迈入AI智能体氛围编程，实战掌握Cursor、Claude Code与MCP协议，通过18+真实项目与两大企业级毕业设计，精通多智能体协作与全自主开发工作流。
原始标题：Master Vibe Coding with AI Agents: Build Real-World Apps
本课程是一门聚焦于氛围编程（Vibe Coding）与 AI 智能体（AI Agents）的实战通关课，旨在带你跨越传统的“AI 辅助补全”阶段，进化为掌握多智能体协作、CLI 工具和 MCP 协议的次世代开发者。
在 90% 动手实践与零 AI 预算的架构下，课程将带你从绝对零基础起步，无缝玩转 Cursor、GitHub Copilot、Claude Code 和 OpenCode 等前沿工具；你不仅能亲手构建包含房产发现器、简历定制、智能家居等 18+ 个现实世界 MVP 项目，还将深度攻克上下文管理，通过编写完美的 .agent.md 文件指挥 AI 团队；最终，你将独立交付“自动化多智能体内容工作室”与“实时交易工作站”两大企业级毕业设计，彻底掌握全自主、工业级的 AI 协同开发工作流。
Published 9/2026
Created by Dr. Farhan Anwar (Founder, Nextpak Agile)
MP4 | Video: h264, 3840×2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 12 Lectures ( 2h 15m ) | Size: 5.3 GB
Build real-world apps with Cursor, Copilot, Claude Code, Codex, MCP, OpenCode, and autonomous AI workflows
What you’ll learn
⚡ Go from IDE agents to CLI, MCP, and multi-agent swarms using a 90% hands-on, live-execution framework.
⚡ Build & deploy 18+ real-world MVPs and intermediate projects using Cursor, GitHub Copilot, Claude Code, & OpenClaw.
⚡ Master context window management, write perfect agents md files, and orchestrate fully autonomous multi-agent teams.
⚡ Create enterprise-grade capstones: an Automated Multi-Agent Content Studio and a Real-time Trading Workstation.
Requirements
❗ Zero budget required for AI tools. We will teach you how to leverage free and open-source models effectively.
❗ Basic programming knowledge (NodeJS/Python) is a plus but not mandatory. We start from absolute foundations.
Description
Step into the future of software development with Vibe Coding with AI Agents: Build Real-World Apps — a practical, project-focused course designed to help you build applications faster by working alongside modern AI coding agents.
You’ll learn how to move beyond traditional coding workflows and use AI to plan, generate, modify, debug, and improve real-world applications. The course starts with the foundations of agentic coding, including LLMs, AI agents, context management, agents . md, and effective AI collaboration workflows.
You’ll then work hands-on with popular AI development tools including Cursor AI, GitHub Copilot, Codex, Antigravity, Claude Code, OpenCode, and the Model Context Protocol (MCP). Instead of focusing only on theory, the course emphasizes live execution and practical builds.
Throughout the course, you’ll create a wide range of applications such as a real estate deal finder, freelance client portal, invoice and contract generator, inventory and billing system, legal document simplifier, resume tailoring assistant, price tracking dashboard, personal finance advisor, network analyzer, home inventory tracker, community application, expense analyzer, smart home automation hub, travel planner, and customer support agent.
As you progress, you’ll move from individual AI coding tools to advanced agentic engineering concepts including CLI-based development, MCP integrations, sub-agents, agent swarms, events, hooks, and autonomous workflows.
The final stage focuses on advanced integrations and major capstone projects. You’ll build a Multi-Agent Content Studio and a Real-Time Trading Workstation with an AI assistant, giving you experience with larger, more sophisticated AI-powered systems.
Whether you are a developer, freelancer, entrepreneur, or aspiring AI engineer, this course provides a practical path to understanding how modern AI coding agents can transform the way software is built.
By the end of the course, you’ll have hands-on experience with multiple AI development environments, agentic workflows, MCP integrations, and real-world application development.
Who this course is for
⭐ Modern web developers and programmers looking to 10x their shipping speed and software building efficiency.
⭐ Tech entrepreneurs and indie hackers wanting to build and launch MVPs without a massive development budget.
⭐ Traditional developers and beginners transitioning into AI engineering and production-grade agentic workflows.
百度网盘下载：
