Hands-on Training on Privacy-Aware LLM Deployment for Network Operations
Two comprehensive sessions designed for network operations professionals
Introduction to Large Language Models and Privacy-Aware AI
This foundational session introduces participants to Large Language Models, covering core concepts, privacy considerations, and the fundamentals of local deployment. Participants will learn why locally-hosted LLMs are crucial for institutional data privacy.
Practical Implementation and Hands-on Exercises
Building on Session 1, this advanced session focuses on practical implementation of AI agentic workflows for network operations. Participants will work with live prototypes and learn to integrate LLMs into their network management workflows.
Network operations professionals, IT administrators, and technical staff from IDREN member institutions. Open to other educational and research institutions in Indonesia.
The workshops are free of charge, funded by APNIC Foundation through the ISIF Asia 2025 grant program.
Instruction will be primarily in Indonesian with materials available in both Indonesian and English. English support available.
Participants who complete both sessions will receive a certificate of completion from Universitas Brawijaya.
Common questions about our workshops
The workshops are primarily designed for network operations professionals, IT administrators, and technical staff from IDREN member institutions. However, we welcome participants from other educational and research institutions in Indonesia who are interested in privacy-aware AI deployment.
No, the workshops are free of charge. This project is funded by APNIC Foundation through the ISIF Asia 2025 grant program.
Participants should have a laptop with at least 8GB RAM. For hands-on exercises, we'll provide access to cloud-based environments. Specific setup instructions will be shared before each workshop.
Yes, all workshop materials including slides, recordings (when available), and hands-on guides will be made available through our Resources page. Materials are provided in both Indonesian and English.
Instruction will be primarily in Indonesian with materials available in both Indonesian and English. English support will be available for non-Indonesian speakers.
No prior AI or machine learning experience is required for Session 1. Basic familiarity with networking concepts and command-line interfaces is helpful. Session 2 builds on Session 1 content.
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