AI-accelerated End-to-End Framework for Rapid Professional Upskilling

End-to-end AI-accelerated framework for professional upskilling validated by NASBA and NVIDIA certification

Researchers present an AI-accelerated framework spanning five stages of professional upskilling—knowledge acquisition, content development, review, teaching, and assessment—with a focus on production and learning efficiency. The framework was validated externally: NASBA approved a program built on it for CPE credits, three learners passed the NVIDIA Certified Professional in Agentic AI exam rapidly, and the knowledge base produced a 1,267-item risk dataset for multi-agent AI systems. The paper addresses the growing enterprise skills-gap problem, where average reskilling time ballooned from 3 to 36 days between 2014 and 2018.