微软与卡内基梅隆大学合作推出PRAISE项目培训早期职业软件工程师

微软与卡内基梅隆大学（CMU）携手推出PRAISE项目，全称为"人工智能加速软件工程学徒制"（Preceptorship for AI-accelerated Software Engineering），旨在帮助微软的早期职业软件工程师掌握AI工具在软件开发中的应用1。该项目由微软首席技术官Mark Russinovich在2025年10月访问CMU后提出，目标是弥补初级工程师在使用AI工具方面存在的技能差距1。

参与者将在工作期间接受CMU计算机学院的在线课程和资深工程师的一对一指导1。本学期课程包括《Machine Learning in Production》和《Preceptorship in AI-Augmented Software Engineering I》两门课程1。春季学期将开设《DevOps: Engineering for Secure Development and Deployment》和第二部分AI增强软件工程课程1。参与者所获学分可申请用于CMU软件工程硕士学位1。

CMU计算机学院院长Martial Hebert表示："这是支持国家劳动力队伍的创新举措"1。教授Jonathan Aldrich期望该项目能成为业界快速培养新开发者的模板1。

Microsoft and Carnegie Mellon University have launched PRAISE, a collaborative program designed to equip early-career software engineers with artificial intelligence skills 1. The initiative, formally known as Preceptorship for AI-accelerated Software Engineering, emerged from a concept proposed by Microsoft Chief Technology Officer Mark Russinovich following his visit to CMU in October 2025 1.

The program combines online coursework from CMU's School of Computer Science with hands-on mentorship, allowing Microsoft's junior engineers to earn credits applicable toward CMU's Master of Software Engineering degree while gaining practical experience 1. The current curriculum includes courses such as "Machine Learning in Production" and "Preceptorship in AI-Augmented Software Engineering I" in the fall semester, with spring offerings covering "DevOps: Engineering for Secure Development and Deployment" and a continuation of the AI-augmented software engineering course 1. Participants receive one-on-one guidance from senior engineers as part of the preceptorship model 1.

CMU School of Computer Science Dean Martial Hebert characterized the partnership as "an innovative initiative to support the national workforce," while Professor Jonathan Aldrich expressed hope that the program could serve as a template for the technology industry to rapidly develop new engineers 1. The collaboration addresses a recognized skills gap among junior engineers in leveraging AI tools within modern software development practices 1.