About
Information Technology Department, GB in collaboration with National University of Sciences and Technology (NUST), Islamabad is pleased to announce the commencement of High Impact Skills Development Program for the youth of Gilgit-Baltistan. The six months intensive training program will uplift the skills of young people in:
- Data Science and Artificial Intelligence
- Blockchain
Deadline to Submit Application
20th June 2024
For Whom
- Young Professionals
- Fresh Graduates
- Teachers from local universities
- Students with relevant background
Where
Gilgit and Skardu
Entry Test
23rd June 2024
Project Highlights
Num of Training Hours
372
Num of Students
523
Num of Projects
124
Modules Breakdown
Modules Breakdown - DSAI
| Module Number | Module Name |
|---|---|
| Module 1 | Orientation / AI Fundamentals |
| Module 2 | AI Fundamentals |
| Module 3 | Unsupervised Learning |
| Module 4 | Neural Networks |
| Module 5 | Introduction to Data Science |
| Module 6 | Computer Vision |
| Module 7 | Data Visualization |
| Module 8 | Data Mining |
| Module 9 | Natural Language Processing |
| Module 10 | Object Detection |
Modules Breakdown - Blockchain
| Module Number | Module Name |
|---|---|
| Module 1 | Orientation / CryptoVerse Unveiled: Mastering Bitcoin's Essence |
| Module 2 | CryptoCraft: From Hashes to Blocks |
| Module 3 | MinerTech EvoCore / CryptoMask: Unveiling Anonymity |
| Module 4 | Blockchain as a Tech Platform |
| Module 5 | Ethereum and Smart Contracts |
| Module 6 | Solidity |
Our Team
Project Managers
Dr. Faisal Shafait
Dr. Adnan Ul Hasan
Ms. Aymen Tasneem
Ms. Hira Masood
Faculty Members
Dr. Nazia Pervaiz
Dr. Ahsan Saadat
Dr. Fahad Ahmed Satti
Dr. Syed Imran Ali
Dr. Taha Ali
Dr. Arhum Muslim
Dr. Momina Moetesum
Dr. Hafiz M. Bilal
Mr. Haseeb Saeed
Dr. Junaid Younis
Dr. Naseer Bajwa
Dr. Wajahat Hussain
Eligibility Criteria
- Resident of Gilgit-Baltistan
- Background in Computer Science, IT, software engineering, Electrical Engineering, Other related engineering disciplines, Math, Statistics , or Business Studies
- Relevant work experience (Job, freelancing, etc.) in Data Science, AI, or Blockchain
- Minimum 50% marks in FSc
Selection Process
- Apply online by clicking here Apply Now
- Appear for Written Admission Test at your designated venue
- Results of Admission test announced
- Final list of successful applicants
Selection Criteria
Collaborators
