Admissions

1. OBJECTIVE

Bootcamp Overview

This Bootcamp is designed to introduce participants to the complete spectrum of topics related to Artificial Intelligence (AI) and Machine Learning (ML), while providing practical exposure and hands-on experience with industry-required tools for entry to mid-level jobs.

The program covers the entire AI/ML landscape, including:

• Basics of Data Science
• Machine Learning Fundamentals
• Supervised and Unsupervised Learning
• Decision Trees
• Clustering
• Deep Learning
• Natural Language Processing (NLP)
• Neural Networks
• Recurrent Neural Networks (RNNs)
• Long Short-Term Memory Networks (LSTMs)
• Generative AI
• Large Language Models (LLMs)

The course will enable participants to effectively navigate the complex AI/ML landscape while building a solid foundation of concepts. Through numerous real-world use cases, participants will learn how to apply current models and tools and adapt to emerging technologies and trends.

In addition to the core technical skills, this Bootcamp will focus on Full Stack Development and polish essential Soft Skills—a crucial factor in career progression and success in any organization. The program will include:

• Interview preparation and strategies
• Creating ATS-friendly CVs
• Building professional profiles
• Enhancing communication and presentation skills

Course Details

• Course Duration: 64 hours

• Course Timeline: Approximately 4 weeks

• Schedule:

  • Days per Week: 2

  • Days: Mondays and Wednesdays

  • Timings: 9:30 AM – 3:30 PM

• Target Audience: 6th-semester CS/SE students or fresh graduates

• Maximum Participants: 30

• Total Sections:

  • Section A: AI and ML – 48 hours

  • Section B: Soft Skills + CV and Interview Tips – 8 hours

  • Assessments/Projects: 8 hours

• Course Format: Lab-based (each student must have a laptop/desktop)

• Hardware & Software Requirements:

  • Devices: Laptops or Desktops (one per student)

  • Minimum Configuration: Intel Core i7, 16GB RAM

  • Internet: High-speed connection with downloading enabled

  • Operating System: Windows

  • Trainers will coordinate with the university team to install any additional required software.

3. COURSE OUTLINE

TRAINERS / FACILITATORS

MUHAMMAD ZAID

(Trainer for AI / ML)
Senior Machine Learning / Python Engineer – LLM, Turing
LinkedIn: https://www.linkedin.com/in/m-zaid/

As a seasoned Data Scientist and Machine Learning Engineer, Zaid specializes in developing innovative solutions that harness the power of deep learning and large language models (LLMs). His professional journey has been marked by impactful roles at Folio3, Rayn, Airlift Technologies, and Love for Data, where he has consistently driven data-driven decision-making and optimized machine learning models for improved performance.

His experience spans a diverse range of projects, from detecting anomalies in medical imaging to developing robust statistical models and building deep learning models for computer vision and LLMs. His work has been published in esteemed conferences, reflecting his commitment to advancing the field of data science and machine learning.

His passion lies in leveraging deep learning and LLMs to create meaningful impacts and drive innovation across various industries. He is also an evangelist who enjoys delivering sessions and training at various forums and AI/ML community events.

ERUM HANNAN

(Trainer for Soft Skills)
Software Development Manager, Techlogix
LinkedIn: https://www.linkedin.com/in/erumhannan/

Erum Hannan has been associated as a Software Development Manager with Techlogix Private Limited, Pakistan, having more than a decade of experience in the IT industry, specifically in the FinTech OBDX product along with native Android application development. She has developed a wide range of Android applications such as E-Commerce and Sales & Distribution.

Her core expertise lies in Project Management processes and tools, and she has acquired Scrum Master certification from Scrum Alliance in April 2024, implementing core concepts in her organization and projects. She has worked with HTML5, CSS, JavaScript, Java, XML, Android, Cordova, SQLite, SQL, Oracle, along with source code management, code quality audits, and best practices as per international standards.

She is also a training volunteer at SoL Pakistan and a member of ToastMasters International, where she is involved in conducting training sessions related to leadership and soft skills.