The rapid evolution of agentic artificial intelligence (AI) and cloud‑native architectures is redefining the possibilities of Technology‑Enhanced Education. This paper introduces a framework that integrates agentic AI systems, secure distributed platforms, and generative models to deliver scalable, adaptive, and inclusive learning experiences. By orchestrating autonomous AI agents within cloud environments, this framework enables personalized instruction, automated assessment, and real‑time feedback loops that respond dynamically to learner progress. Drawing on enterprise‑scale implementations in financial services and retail, this work demonstrates how intelligent orchestration can improve accessibility, optimize resource allocation, and enhance trust through compliance‑driven design.

The proposed approach emphasizes scalability and inclusivity, ensuring that digital pedagogy can meet diverse learner needs while maintaining rigorous standards of privacy and security. Key contributions include: (1) a model for deploying agentic AI in education that balances personalization with institutional governance; (2) strategies for embedding adaptive learning systems into cloud‑native infrastructures; and (3) evidence of improved learner outcomes through AI‑driven search and conversational interfaces.

By bridging technical innovation with pedagogical practice, this paper highlights pathways for transforming classrooms into data‑informed ecosystems that support both educators and learners. The findings aim to provide actionable insights for researchers, practitioners, and policymakers seeking to harness AI responsibly in advancing teaching effectiveness, learner engagement, and equitable access to education.