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About - Bootcamp

Become internationally competitive through a rigorous 8-week bootcamp

Unique Features:

  • 10xH100 NVIDIA GPU AI Supercomputer: The students of the bootcamp will have a dedicated access of a 10xH100 Nvidia GPU AI supercomputer for hands-on training and performance evaluation of LLM models
  • Industry-Relevant Curriculum: The bootcamp’s curriculum is carefully designed to address the latest trends and demands of the computer science industry, ensuring that participants gain relevant and up-to-date knowledge.
  • Personalized Learning Experience: The bootcamp will offer one-on-one mentoring, ensuring participants receive individualized guidance and support throughout their learning journey.
  • Internship Certification via Bootcamp: Upon successfully completing the bootcamp, students will be awarded an internship completion certificate, recognizing their dedication and achievement in practical, hands-on learning."
  • Hands-On Project-Based Learning: Participants will engage in extensive hands-on learning through real-world projects, allowing them to apply the acquired skills in practical scenarios.
  • Expert Instructors from Top Universities and Industry: Instructors from reputable universities (NUST – SEECS / GIKI) and industry (SkyLabs) will provide a rich learning experience with insights from both the academia and industry.
  • Job Placement Assistance after Bootcamps: The bootcamp goes beyond training and offers job placement possibilities, connecting participants with potential employers and helping them kick start their careers in the field of computer science.

Weekly Modules

Mastering Prompt Engineering, NLP, and Transformer Foundations
01

Exploring Advanced Transformer Model Architectures 02

Crafting and Training Large Language Models03

Scaling LLMs: Training Techniques and Performance Boosts 04

Unlocking LLM Mixture of Experts (MoE)05

Inference and Deployment Strategies 06

LLM Agents and the 'Agentic' Approaches to LLM Applications07

Capstone Project Showcase and Leaderboard Finale08

Selection Procedure

The suitability of applicants will be assessed on the basis of on-premise Computer-based enter test and online interviews

Criteria

  • Fresh graduates
  • Students in bachelor's, master's, or PhD with background in Deep Learning, Python, basic Probability, and Linear Algebra
  • AI aspirants who want to start a career in AI or advance their skills

Entry Test Schedule

  • Date: June 25th, 2024
  • Venue:Test Centers of Virtual University (VU) in Islamabad, Peshawar, Karachi, Lahore, or Quetta, as per the candidate's choice

Entry Test Format

The entry test is organized as follows:

50% Aptitude
  • Quantitative: 15 %
  • Analytical: 15 %
  • Abstract Reasoning (Raven Matrice): 20 %
50% Subject Knowledge
  • Deep Learning: 20 %
  • Python Programming: 15 %
  • Linear Algebra: 7.5 %
  • Probability & Statistics: 7.5 %

Interview

Shortlisted applicants will be required to appear in-person or online interview for final selection



NUST Instructors

Dr. Seemab Latif

Associate Professor

NUST-SEECS

PhD: University of Manchester, UK

Expertise: Deep Learning, Machine Learning, Natural Language Processing

Dr. Arham Muslim

Assistant Professor

NUST-SEECS

PhD: from RWTH Aachen, Germany

Expertise: Learning Analytics, Information Visualization

Dr. Junaid Younas

Assistant Professor

NUST-SEECS

PhD: from Bahria University, Pakistan

Expertise: Deep Learning, Computer Vision, DocumentAI


Dr. Momina moetesum

Assistant Professor

NUST-SEECS

PhD: from TU Kaiserslautern, Germany

Expertise: Machine Learning and Deep Learning

Dr. Rabia Irfan

Assistant Professor

NUST-SEECS

PhD: from TU Kaiserslautern, Germany

Expertise: Machine Learning and Deep Learning for Formal education

Dr. Mehwish Fatima

Solution and Content Architect (GenAI)

Industry

PhD: Heidelberg University, Germany

Expertise: Deep Learning, Natural Language Processing, Machine Learning, Computational Linguistics


GIKI Instructors

Dr. Farhan Khan

Assistant Professor

FCSE - GIK Institue

PhD: Bilkent University Ankara, Turkey

Expertise: Deep Learning, Generative AI, Large Language Models, Predictive AI, Data Science

Dr. Shahabuddin Ansari

Assistant Professor

FCSE – GIK Institute

PhD: GIK Institute

Expertise: Deep Learning, Generative AI, Signal and Image Processing

Usman Haider

Lecturer

AI & DS – FAST NUCES, Islamabad

PhD: GIK Institute

Expertise: Deep learning, Large language models, computer vision

SkyLabs Instructors

Rayan Soban

Head of Research & Development

SkyLabs AI

Bachelors in CS: Carnegie Mellon University and FAST

Expertise: Deep Learning, Machine Learning, Generative AI and Computer Vision

Iqra Ameer

Applied Research Intern-Generative AI & ML

SkyLabs

B.Eng: National University of Science & Technology

Expertise: Deep Learning, Machine Learning, Natural Language Processing

Sohaib khalid

ML Engineer

SkyLabs

Ms: Pak-Austria Fachhochschule

Expertise: Deep Learning, Machine learning, Natural Language Processing


Muhammad Usama Manzoor

ML

SkyLabs AI

MS: Information Technology University (ITU), Lahore, Pakistan

Expertise: Deep learning, Machine Learning, Basic NLP, LLMs

Advisory Board

Mr. Ashar Aziz

Chairman BedRock Systems, Inc.

Chairman SkyElectric, Inc.

Founder FireEye, Inc.

Lt Gen (R) Muhammad Asghar

CEO - Qarshi Knowledge City

Former - Rector NUST

Prof. Dr. Fazal Ahmad Khalid

Rector

GIKI


Dr. Osman Hasan

Pro Rector Academics

NUST

Mr. Amin Sukhera

CEO

SkyElectric

Dr. Muhammad Ajmal Khan

Principal & Dean

NUST-SEECS

Training Facilities

Frequently Asked Questions

Contact

Location:

NUST - SEECS H-12 Sector, Islamabad

Call:

051 - 9085 2400