Microsoft and Carnegie Mellon University (CMU) have introduced the Preceptorship for AI-accelerated Software Engineering (PRAISE) program. This program aims to equip early-career software engineers with skills in AI-accelerated software engineering, responding to the rapid changes in the computer science field. The program was developed to bridge a recognized gap in AI education for junior engineers, who may not have received extensive AI training during their academic careers.
The PRAISE program allows selected early-career Microsoft employees, referred to as preceptees, to enroll in online courses offered by CMU's Kenneth C. Griffin School of Computer Science. Concurrently, these engineers receive practical mentorship at Microsoft, working with senior engineering preceptors. This dual approach provides structured guidance, mentorship, and opportunities to apply AI-accelerated software engineering skills directly to their daily work at Microsoft. Participants can also take SCS classes focused on software engineering and artificial intelligence.
The concept for the PRAISE program originated after a visit by CMU alumnus Mark Russinovich, CTO and Deputy CISO for Microsoft Azure, to CMU's School of Computer Science. Russinovich observed that while AI tools benefit senior engineers, junior engineers often lack access to the same level of advantage. This observation highlighted the need for a dedicated program to support the AI skill development of early-career professionals. SCS Dean Martial Hebert noted that the partnership provides high-quality computer science learning to individuals outside the traditional education system who seek guidance in a changing technological landscape.
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Microsoft and Carnegie Mellon University (CMU) launched the Preceptorship for AI-accelerated Software Engineering (PRAISE) program. This initiative offers early-career Microsoft engineers online CMU courses and hands-on mentorship to develop AI-accelerated software engineering skills, addressing the gap in AI education for junior engineers.