Registration Form

Python for Artificial Intelligence

  • 2 months
Registeration Form

Overview
This course introduces learners to Python programming with a focus on Artificial Intelligence applications. It covers essential Python concepts, libraries, and techniques used in AI, including data handling, automation, and basic machine learning integration.

What You’ll Learn

  • Core Python programming for AI development
  • Data manipulation with NumPy and Pandas
  • Using Scikit-learn for basic machine learning tasks

Skills You’ll Gain

  • Writing clean, efficient Python code
  • Data preprocessing, transformation, and analysis
  • Implementing simple AI models and automation workflows

Prerequisite: None

Course Contents:
Introduction to Python syntax, data types, and control structures; Functions, loops, and file handling; Working with NumPy arrays and Pandas DataFrames; Introduction to Matplotlib for basic visualizations; Using Scikit-learn for classification and regression tasks; Automating AI workflows; Building a mini AI project (e.g., sentiment analysis or spam detection); Debugging, testing, and best practices for clean code.

Teaching Methodology:
Interactive coding labs, project-based learning, live coding sessions, and assessments.

Reference Material:

  1. Python Crash Course by Eric Matthes
  2. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron
  3. Python official documentation and tutorials
  4. Real-world datasets from Kaggle and UCI Machine Learning Repository

Ready to Boost Your Skills?

Get in touch today and start your learning journey with us!

Contact Us Now

Ms. Maida Khalid

Ms. Maida Khalid is a Senior Lecturer in Software Engineering at Ibadat International University, Islamabad. She holds a Bachelor’s degree in Software Engineering from Foundation University and an MS in Software Engineering from the Military College of Signals, NUST.
With over seven years of teaching experience, she has previously served at The University of Lahore (Islamabad Campus) and has consistently contributed to academic development through project supervision, curriculum planning, and student mentoring. Alongside her academic career, Ms. Khalid is actively engaged in the software industry, currently working as a Project Manager.
Her professional domain includes Machine Learning, Data Science, and project-based software development. She brings real-world industry insights into the classroom, bridging the gap between academic learning and practical implementation. Her dual engagement in academia and industry enhances her ability to mentor students in emerging technologies and applied research.

Ms. Itrat Fatima

Ms. Itrat Fatima is a Lecturer in Computer Science at Capital University of Science and Technology, with an MS in Computer Science from COMSATS University Islamabad (2018). She has over four years of teaching experience, previously serving at the University of Lahore (Islamabad Campus). Her expertise spans Artificial Intelligence, Data Science, Smart Grids, and Machine Learning.
She has supervised numerous Final Year Projects, contributed to research proposals in AI-powered learning, fake news detection, and accessibility, and is actively involved in OBE curriculum design, including CLO-to-PLO mapping and psychomotor domain integration.
Ms. Fatima also leads online tech education at Skill Boost Institute, offering courses in AI, Data Science, Cyber Security, and Freelancing, empowering learners with industry-relevant skills.

Dr. Raja Habib

Dr. Raja Habib is an experienced academic and industry professional with over 12 years of expertise in software engineering, machine learning, and data science. He holds a PhD in Computer Science with a specialization in Machine Learning from CUST and an MS in Software Engineering from M.A.J.U., Pakistan, funded by the HEC Indigenous Scholarship.
Currently serving as an Assistant Professor in the Department of Computing at Shifa Tameer-e-Millat University, Islamabad, Dr. Habib has published several high-impact research papers and supervised numerous MS theses. His strong foundation in both academia and the software industry enables him to deliver practical, research-driven instruction in Machine Learning and Data Science, empowering students to solve real-world challenges effectively.

Register for the July Session

Fill out the form below to register.
Account Detail
Bank Name: Faysal Bank
Name: Raja Habib Ullah
Acc No: 3077301000002550