Quiz Selection Round for Advanced LLM Systems Bootcamp

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🎓 Quiz Selection Round – Advanced LLM Systems Bootcamp 2026
Organized by Department of Data Science
In association with IEEE CIS Student Chapter 🤖
📅 21 February 2026
⏰ 7:30 PM – 8:30 PM
📍 Online Mode


The Quiz Selection Round is the official gateway to the Advanced LLM Systems Bootcamp 2026.
This competitive online assessment is designed to evaluate participants’ understanding of core AI, Machine Learning, and computational fundamentals. The top-performing students will be selected for an intensive bootcamp program featuring:
🚀 Hands-on LLM system development
👨‍🏫 Expert mentorship
🧠 Advanced AI architecture training
💡 Real-world problem-solving sessions
Participants can expect a challenging and engaging quiz that tests analytical thinking, programming fundamentals, and applied AI concepts.
🎯 Eligibility:
Open to all students passionate about Machine Learning and Artificial Intelligence.



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  • Contact Event Hosts
  • thirukkavallurupavankumar@gmail.com

  • Starts 19 February 2026 10:30 AM UTC
  • Ends 20 February 2026 06:29 PM UTC
  • No Admission Charge






Agenda

AGENDA
🕢 7:15 PM – 7:30 PM
Participant Login & Instructions
🕢 7:30 PM – 8:30 PM
Online Quiz (60 Minutes)
📊 Topics Covered:
🐍 Python Programming Fundamentals
📊 NumPy & Vector Operations
📐 Applied Linear Algebra
🤖 Machine Learning Fundamentals
🧠 Deep Learning Basics
🧩 Logical & Analytical Reasoning



Department of Data Science
In association with IEEE CIS Student Chapter
Empowering students to build next-generation AI systems 🌍🤖
For queries, contact the organizing team.



  Media

QUIZ SELECTION ROUND FOR ADVANCED LLM SYSTEMS BOOTCAMP The quiz will assess participants in Python fundamentals, NumPy, Linear Algebra, Machine Learning basics, Deep Learning concepts, and logical reasoning. The difficulty level is beginner to intermediate, and no prior LLM experience is required. Top performers will be selected for the bootcamp, which includes hands-on training, mentorship, and advanced AI system development. 4.33 MiB