Microsoft and Carnegie Mellon Launch AI Engineer Program
The PRAISE initiative combines mentorship with university-level coursework for early-career software engineers.
Updated on Oct. 19, 2026 in Internships

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Microsoft and Carnegie Mellon University have launched the Preceptorship for AI-accelerated Software Engineering (PRAISE) to support early-career engineers. The program pairs junior Microsoft staff with senior preceptors while offering credit-bearing university courses.
Why it matters
The program addresses corporate concerns that over-reliance on AI tools might erode the traditional training and development pipeline for junior software engineers.
The PRAISE curriculum consists of four courses spread over two semesters. Credits earned through the program can be applied toward a master's degree in software engineering from Carnegie Mellon University.
The players
Microsoft
Microsoft is a multinational technology corporation known for its software, cloud services, and commitment to artificial intelligence development.
Carnegie Mellon University
Carnegie Mellon University is a private research university in Pittsburgh recognized globally for its leadership in computer science and technology education.
Mark Russinovich
Mark Russinovich is a prominent technologist who serves in a senior leadership role at Microsoft and initiated the partnership during a campus visit.
The details
Participants engage in a preceptorship model, working alongside experienced senior engineers at Microsoft while simultaneously completing formal coursework from the Carnegie Mellon University School of Computer Science. This initiative aims to bridge the gap between workplace AI integration and foundational engineering skills.
Timeline
October 2025: Mark Russinovich visited the Carnegie Mellon University campus.
October 15, 2026: Microsoft and Carnegie Mellon University announced the program.
Fall 2026: Engineers are taking the first two courses.
Spring 2027: Engineers move on to the second two courses.
Market Landscape
The partnership signals a shift toward corporate-academic hybrids in training, challenging the reliance on traditional self-paced AI training modules. This positions the collaborators as pioneers in standardizing skill sets for an AI-augmented software development environment.
Early-career engineers at the company can now pursue advanced academic credits while working full-time. This model offers a path to higher education without requiring participants to leave their roles or incur the typical disruption of traditional graduate studies.
The takeaway
The PRAISE program illustrates how corporations are formalizing internal training to ensure junior staff maintain engineering proficiency in an era of automation. Professionals in competitive fields should consider seeking out employers that offer structured, university-backed learning pathways.
Further reading
For more information on similar professional development opportunities, see our section on Internships.
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