Strengthening Network Operations with Privacy-First AI

Building foundational AI knowledge through locally-hosted open-source LLMs, fostering peer collaboration, and empowering IDREN member institutions with privacy-aware solutions for network operations.

Learn More Project Activities

About LLMNetOps

Bridging the AI Literacy Gap in Network Operations

Many IDREN member institutions struggle to adopt AI-supported network management due to limited staff, uneven expertise, and reliance on undocumented knowledge. Generative AI offers potential for improving documentation and troubleshooting, but most administrators lack training, confidence, and tools that respect data privacy—creating an AI-literacy gap.


LLMNetOps aims to address this gap by building foundational AI knowledge, fostering peer collaboration, and promoting locally-hosted open-source LLM models as privacy-aware solutions tailored to institutional needs in network operations.


Read More About Our Mission

Aligned with UN Sustainable Development Goals

Our project supports global sustainable development initiatives

SDG 4: Quality Education

Quality Education

We provide comprehensive training and capacity building programs to empower network operations professionals with essential AI literacy and technical skills, ensuring equitable access to quality education in emerging technologies.

SDG 9: Industry, Innovation and Infrastructure

Industry, Innovation & Infrastructure

By promoting locally-hosted open-source LLM solutions, we foster technological innovation and build resilient infrastructure that supports sustainable digital transformation in the Asia-Pacific region.

SDG 10: Reduced Inequalities

Reduced Inequalities

Our project bridges the digital divide by empowering underserved institutions with privacy-first AI tools and knowledge, promoting equal opportunities for access to advanced technologies across diverse communities.

20 Target Participants
2 Workshop Sessions
5 Training Modules
8 IDREN Institutions

Project Goals

Empowering institutions with privacy-first AI solutions

Privacy-First AI Adoption

Promote locally-hosted open-source LLM models as a practical solution for institutions concerned about data privacy and institutional autonomy.

Contextual AI for Infrastructure

Introduce the use of generative AI specifically to support technical teams in managing, understanding, and documenting their own infrastructure.

Bridging the AI Literacy Gap

Empower network and IT staff with the knowledge and confidence to use AI in their daily tasks.

Knowledge-Sharing Community

Build a culture of learning and shared problem-solving through workshops and peer collaboration.

Secure LLM Integration

Investigate how locally-hosted LLMs can be safely integrated into network operations while ensuring data security.

Tailored Solutions

Empower IDREN members to confidently assess and adopt AI solutions that align with their specific requirements.