AHUMAIN - Developing Hybrid AI and IoT Engineers for East Africa

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Overview

AHUMAIN is a regional project focused on creating an interdisciplinary curriculum and digital infrastructure to train hybrid engineers skilled in Artificial Intelligence, Internet of Things (IoT), and related technologies. Funded by the European Union and led by multiple partner institutions, the project elevates the capacity of East African universities to deliver industry-relevant training and research.

Objectives

  •  Develop a practical AI–IoT curriculum for East Africa.
  • Strengthen institutional capacity for delivering blended learning.
  • Support real-world AI applications addressing local challenges.
  • Equip learners with practical and theoretical AI competencies.
  • Promote collaboration among regional and international institutions.

Stakeholders / Beneficiaries

  •  Partner universities and technical institutions.
  • Students, researchers, and academic staff.
  • RENU as technical infrastructure provider.
  • Global and regional project partners.

Implementation / Approach

Website Design and Hosting:
RENU led the creation of the AHUMAIN website, which hosts project details, outputs, consortium information, training materials, and updates.

Moodle LMS Deployment:
RENU set up and supported a Moodle-based learning platform hosting video lectures, tutorials, and self-paced learning content.

Deployment of AI Servers:
AI servers were installed at Muni University, ARU, and KIST to support machine learning training, data analysis, and hands-on experimentation.

Domain and Platform Support:
RENU provides continuous maintenance for the project domain, hosting services, and Moodle system, ensuring security, accessibility, and content availability

Results / Outcomes

  • A central digital ecosystem (website and LMS) supporting project collaboration.
  • Enhanced access to digital learning resources across partner institutions.
  • High-performance AI servers enabling practical training and experimentation.
  • Increased institutional readiness for AI and IoT curriculum delivery.

Future Work

  • Finalize curriculum deployment before project completion in 2026.
  • Expand access to AI servers and digital content.
  • Strengthen collaborative research opportunities.
  • Support long-term sustainability of the digital platforms.

Conclusion

AHUMAIN is building the next generation of AI-capable engineers in East Africa. Through its interdisciplinary approach, digital platforms, and technical capacity enhancements, the project strengthens the region’s innovation ecosystem and prepares learners for emerging technological opportunities.