AI-BootCamp

About Bootcamp

The advanced bootcamp on AI with focus on Deep Neural Networks (DNNs) aims to impart high impact knowledge and skillset to fresh graduates. Participants will become internationally competitive through 280 hours of intense hands-on training under the mentorship of industry leaders.

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Unique Features:

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.
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 GIKI and Industry: The Bootcamp’s instructors come from reputable universities (FCSE, GIKI) and industry (SkyElectric, SkyLab), providing a rich learning experience with insights from both academia and the real-world 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:

Week 1: Introduction to AI and Applications in the Real World
Week 2: Machine Learning
Week 3: Fundamentals of Deep Neural Networks
Week 4: Computer Vision
Week 5: Sequence Modelling and Vision transformers
Week 6: Special Topics in Deep Learning and the Modern era of Generative AI
Week 7: Project Planning and Refinement
Week 8: Project Demos and Presentations Refinement

Eligibility Criteria:

Fresh graduates from HEC recognized universities seeking technical skills and job prospects.
Candidates must have graduated from HEC recognized universities with a BS or MS degree in any science, technology, engineering, or math (STEM) discipline or are going to graduate in 2024. (Students in their Junior year BS programs in STEM disciplines who fulfill the following eligibility criteria can also apply).
Proficient with Python programming.
Good foundation in mathematics especially Linear Algebra, Calculus, Probability and Statistics.
Good analytical and reasoning skills.
You are able to attend the bootcamp regularly at GIKI in Face-to-Face mode.
All applicants are required to pay an application processing fee of Rs. 500/- (non-refundable).
The candidates who are successful in the entry test and interviews will pay a subsidized registration fee of Rs. 20,000/-. The registration fee includes free on-campus accommodation at GIKI. Meals are not included.

Selection Procedure:

All applicants will take a computer based aptitude test at Virtual University Test Center of their choice
Entry Test Format:
Duration 120 Min
Total Questions 100
Programming (Python) 34%
Mathematics 33%
Analytical / Quantitative Reasoning 33%
Shortlisted applicants will be required to appear in-person or online interview for final selection.

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Important Dates:

Registration Deadline: 20^th June, 2024
Entry Test: 25^th June, 2024
Interviews: Successful candidates will be informed via email about the interview date and time.
Bootcamp Duration: 8^th July to 31^st August, 2024

Schedule (Monday to Friday):

Classes: 8:30 am to 1:00 pm
Labs: 2:00 pm to 5:00 pm

Bootcamp Instructors:

Name	Designation	Expertise
Dr. Ali Imran Sandhu	Assistant Professor	Computational Electromagnetics, Microwave Imaging, Physics Informed Machine Learning, Bayesian Experimental Design, Phased Array Antennas Ph.D. Electrical Engineering, King Abdullah University of Science & Technology (KAUST), Saudi Arabia.
Engr. Dr. Muhammad Hanif	Assistant Professor	Image Deconvolution, Sparse Image and Signal Representation, Image and Video Compression, Image Restoration, Registration and Segmentation, Object Detection and Tracking Ph. D. Australian National University, Canberra (2015)
Dr. Sarah Iqbal	Assistant Professor	IoT, Fog Computing, Machine Learning & Digital Twin Doctor of Philosophy, Universiti Malaya, Kuala Lumpur, MALAYSIA.
Dr. Musadaq Mansoor	Assistant Professor	Machine Learning, Deep Learning, Bio informatics, Software Engineering Ph.D. in Computer Science National University of Computer and Emerging Sciences, (NUCES-FAST), Pakistan
Dr. Khurram Khan Jadoon	Assistant Professor	computer vision, Image Processing, and Machine/deep learning Ph.D. in Electronics and Communication Engineering
Prof. Engr. Dr. Ahmar Rashid	Professor	Electrical Impedance Tomography, Inverse algorithms, evolutionary algorithms (EAs), Robotic Vision and Bioinformatics
Dr. Farhan Khan	Assistant Professor	Data Science, Signal Processing, Health informatics, Industrial informatics, Wireless Communication
Mr. Muhammad Talha Ashfaq	Lecturer	Artificial Intelligence, Deep Learning, Data Analytics MS (Computer Science)
Mr. Abdullah Bin Zarshaid	Lecturer	IoT Security and Privacy, Software Defined Networking, Ethical Hacking, AI-Enabled Cybersecurity MSc in Computer Networks and Security
Ms. Nazia Shahzadi	Lecturer	Machine Learning, Deep Learning, Artificial Intelligence, Smart Grids, and Data Science MS Cybersecurity

Lab Engineers:

Name	Designation	Expertise
Ms. Hifza Umer	Lab Engineer	Software Engineering, Machine Learning, Deep Learning BS Software Engineering, COMSATS University Islamabad, Attock Campus
Mr. Asim	Lab Engineer	Information Technology, Machine Learning, Deep Learning BS Information Technology, University of Agriculture Peshawar
Ms. Memoona Saleem	Lab Engineer	Software Engineering, Machine Learning, Deep Learning BS Software Engineering, COMSATS University Islamabad, Attock Campus

Teaching Assitants:

Name	Designation	Expertise
Mr. Usama Arshad	Instructor	Machine Learning, Deep Learning MS Computer Science
Ms. Fatima Khalid	Instructor	Machine Learning, Deep Learning MS Computer Science
Ms. Asima Sarwar	Instructor	Machine Learning, Deep Learning MS Computer Science

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
Prof. Dr. S. M. Hasan Zaidi
Pro-Rector (Academic), GIKI
Prof. Dr. Qadeer ul Hasan
Dean FCSE
Prof. Dr. Zahid Halim
Coordinator DNN BootCamp
Dean ODL & HoD (Computer Science & Artificial Intelligence)
Prof. Dr. Ghulam Abbas
Overall Coordinator
HoD (Software Engineering & Cyber Security)

Policy for Leaves, Attendance and Lab Participation

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Duration	120 Min
Total Questions	100
Programming (Python)	34%
Mathematics	33%
Analytical / Quantitative Reasoning	33%