📌About the Event

Practical Foundation on Agentic AI is a four-day Faculty Development Programme organised by the School of Computer Science and Engineering at VIT Vellore. The programme goes beyond basic AI API usage and introduces participants to the complete process of building, adapting and deploying AI systems using runnable code and accessible tools. The sessions will cover LLM-powered agents, Model Context Protocol, parameter-efficient fine-tuning and compressed AI model deployment.

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ℹ️ Event Details

• Duration: Four days
• Mode of conduct: The official listing mentions VIT Vellore as the event venue and does not specify an online mode. It should therefore be treated as an on-campus programme unless the organisers communicate otherwise.
• Venue: School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu
• Programme format: Technical sessions, practical demonstrations and implementation-focused learning using runnable code and free tools
• Day 1 – LLMs and Agentic AI:
• Understanding large language models and agentic AI
• Designing agents that reason, retrieve information and coordinate under human supervision
• Day 2 – Model Context Protocol:
• Connecting AI agents with external tools, datasets, databases and APIs
• Understanding safe and structured tool integration through MCP
• Day 3 – Fine-Tuning and PEFT:
• Fine-tuning models using parameter-efficient methods
• Working with techniques such as LoRA and QLoRA for domain-specific applications
• Day 4 – Edge AI and Compression:
• Learning quantisation and distillation techniques
• Deploying compressed AI models on laptops, mobile phones and Raspberry Pi devices.

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📅 Important Dates

• Registration deadline: 1 August 2026
• Programme start date: 3 August 2026
• Programme end date: 6 August 2026

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🎯 Eligibility & Rules

• Who can participate:
  • Students
  • Faculty members
  • Research scholars
  • Industry professionals
• Recommended background: The programme is particularly relevant to participants from computer science, artificial intelligence, machine learning, data science and related disciplines.
• Registration requirement: Participants must create or access their account on the VIT Events portal and complete the required details.
• Payment requirement: Registration is accepted only after the applicable event fee has been paid.
• Participation rules: Applicants should regularly check their registered-event page for instructions, updates and document-upload requirements.

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🏆 Benefits for the Participants

• Learning benefits include:
  • Designing tool-using and knowledge-retrieving AI agents
  • Fine-tuning AI models economically and effectively
  • Creating reproducible and version-controlled experimental pipelines
  • Exposing datasets and services as MCP-compatible tools
  • Compressing and deploying AI models for offline use
• Research benefits: The programme is intended to support domain-specific AI development in areas such as healthcare, agriculture and education.
• Certificate: The official brochure does not specifically confirm whether participants will receive a certificate.