OpenAI API and MCP Development

OpenAI API与MCP开发实战

学习使用OpenAI API和MCP开发，集成AI工具与GitHub，通过多智能体系统自动化复杂编码任务。本课程涵盖GitHub Codespaces、MCP服务器、代码审查自动化及AI调试重构，适合有Python基础的开发者。

Released 2/2026
With Sandy Ludosky
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 3h 19m | Size: 502 MB

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)