AI驱动开发：从OpenAI API到GitHub智能自动化

本课程由专家Sandy Ludosky主讲，旨在教授学员如何利用OpenAI API和MCP开发技术，将前沿AI工具与GitHub深度集成。内容涵盖通过GitHub Codespaces搭建环境、使用访问令牌设置权限、利用AI建议进行代码调试与重构，以及构建多智能体系统来自动化复杂编码任务。课程还涉及如何连接特定领域数据源，打造具备上下文感知能力的智能应用。适合具备基础Python和Web开发经验的学习者，帮助他们在实际工作流中集成AI模型，提升开发效率。

Sandy Ludosky
MP4格式 | 视频：h264编码，分辨率1280×720 | 音频：AAC编码，44.1 kHz，2声道
难度等级：中级 | 类型：在线学习 | 语言：英语（带字幕） | 时长：3小时19分钟 | 文件大小：502 MB

OpenAI API and MCP Development。Learn to use OpenAI API and MCP development to integrate cutting-edge AI tools with GitHub and automate intricate coding tasks using AI-driven multi-agent systems.

Course details
Explore the dynamic field of OpenAI API and MCP development with web trainer and developer Sandy Ludosky, and learn how AI can supercharge GitHub Copilot, orchestrate multi-agent systems, and connect to domain-specific data sources. Get started with GitHub Codespaces and MCP servers. Integrate AI models directly within your workflow, automate code reviews, and enhance applications through rich, context-aware agents. Get hands-on experience with setting permissions using access tokens. Harness AI suggestions for code debugging and refactoring tasks with GitHub Actions. Designed for learners with basic Python programming and web development experience, this course empowers you to navigate the AI ecosystem and apply AI models to practical applications. This course prepares you to develop sophisticated AI-enhanced applications that respond intelligently to user queries and task requests.

Skills covered
OpenAI API, Generative AI, Python (Programming Language)