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AMD AI SPRINT: HACKATHON and WORKSHOP SERIES

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AMD AI SPRINT: HACKATHON and WORKSHOP SERIES

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Important: Register on AICamp event website is required for admission.

Description:
Join India’s leading AI engineers, researchers, and enthusiasts in Bengaluru for a 2-day hands-on workshops and hackathons powered by AMD’s MI300X GPUs. Whether you're a student, AI expert, or just starting your journey in machine learning, this is your chance to:

  • Build AI agents using models like Qwen and Llama through a browser-based workflow – no prior experience needed
  • Fine-tune pre-trained models with tools like torchtune and Unsloth to specialize them for real-world tasks
  • Work directly on AMD’s cutting-edge MI300X GPUs with guidance from AMD experts
  • Learn from engineers at AMD, Hugging Face, Meta & more
  • Win exciting prizes in the hackathons

## ​​Day 1:

  • ​​9:30 AM – Doors Open
  • ​​10:00 AM – Opening Talk by AMD on "What’s New with AMD’s Developer Initiatives?"
  • ​​10:15 AM – Hackathon/Competition Introduction
  • ​​10:30 AM – Workshop 1: Developing MCP Agents with AMD GPUs.
  • ​​11:15 AM - 11:30 AM Break– Workshop 2: Finetuning AI models using Torchtune and other libraries.
  • ​​12:15 PM – Lunch + Networking + Hackathon/ Competition Team Formation if not done already
  • ​​1:00 PM – Hackathon/Competition Kickoff+ Overview on Rules, Resources & Support
  • ​​6:00 PM – Dinner & Networking

## ​​Day 2

  • ​​8:00 AM – Doors Open + Breakfast Networking
  • ​​8:45 AM – Partner Talk: Hugging Face- {Details Coming soon}
  • ​​9:00 AM – 2:00 PM – Hackathon/Competition Continue
  • ​​12:00 PM – 1:00 PM – Lunch
  • 2:00 PM - Submission Deadline
  • ​​2:00 PM – 4:00 PM - Evaluation
  • ​​4:00 PM – 5:00 PM – Optional Top Team Presentations (5 min each)
  • ​​5:30 PM – 8:00 PM – Awards + Happy Hour

## ​Workshop 1: Building AI Agents on AMD GPUs

​This hands-on workshop teaches you how to set up AI models and build intelligent agents (like chatbots or task-automation tools) using AMD MI300X GPUs. You’ll learn from AMD experts on how open-source models like Qwen and Llama through a browser-based workflow. No prior experience needed!

## ​Workshop 2: Fine-Tuning AI Models

​This second beginner-level workshop focuses on fine-tuning pre-trained AI models to make them smarter or more specific to a task (like better in answering questions or generating images). You’ll use AMD GPUs, torchtune, and other open-source tools like Unsloth, with guidance from AMD engineers.

# ​Hackathon / Competition Details

A total of 5 Lakh in Prize money.

## ​Track 1: AMD AI Premier League (AAIPL)

​A head-to-head AI competition where teams of up to 3 developers build two intelligent language model based agents:

  • Q-agent: Generates valid, challenging multiple choice questions belonging to a given domain.
  • A-agent: Attempts to answer questions posed by the opposing team’s Q-agent.

Goal: Create a question generator that can pose the most difficult yet correct questions while ensuring your answerer can accurately answer as many of them.
Format:

  • ​Matches are played between pairs of teams where one team's Q-agent generates a set of questions to which A-agent of the opposing team responds and vice-versa.
  • ​Winning teams advance to the next stage.

Resources Provided:

  • ​1 MI300 GPU for 24 hours
  • ​Sample code for prompt tuning, reinforcement learning, and fine-tuning

Deliverables:

  • ​Final working solution
  • ​PowerPoint summarizing techniques used

***

## ​Track 2: Agentic AI Scheduling Assistant

Problem: Scheduling meetings across time zones is inefficient and requires multiple back-and-forth messages. Existing tools lack intelligent conflict resolution.
Goal: Build an AI-powered scheduling assistant using Agentic AI that automates meeting coordination by

  • ​Scanning participant calendars to find optimal meeting slots
  • ​Negotiating conflicts with other participant agents
  • ​Sending polite reschedule requests
  • ​Instantly confirming meetings or proposing alternative times

Expectation: A seamless, intelligent assistant that minimizes manual effort in scheduling.
Resources Provided:

  • ​1 MI300 GPU for 24 hours
  • ​Example application and dummy calendar events
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Bangalore AI Developers Group
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Indian Institute of Science
Malleshwaram · Bangalore
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