Computer Science
Course 01
Web Development with HTML, CSS, and JavaScript (3 Months)
Learn the fundamentals of front-end development and build interactive web pages.
Course 02
Introduction to Data Science with Python (3 Months)
Get hands-on experience with data analysis, visualization, and machine learning basics.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Course 01
Web Development with HTML, CSS, and JavaScript (3 Months)
Web Development with HTML, CSS, and JavaScript
Duration: 3 Months | Fee: PKR 30,000
Course Overview
Learn to build modern, interactive, and AI-powered websites! This comprehensive web development course covers HTML, CSS, and JavaScript, helping you design dynamic and responsive web pages. By integrating AI-driven tools like GitHub Copilot, TensorFlow.js, and IBM Watson APIs, you’ll develop smart, efficient, and scalable web applications.
What You’ll Learn
✔ HTML Basics – Structure web pages using semantic HTML.
✔ CSS Styling & Layouts – Master responsive design with Flexbox & Grid.
✔ JavaScript Programming – Add interactivity & dynamic features.
✔ DOM Manipulation – Modify web pages dynamically.
✔ Working with APIs – Fetch data & integrate AI-based APIs.
✔ AI-Powered Web Applications – Implement AI tools like TensorFlow.js for web-based machine learning.
✔ Final Project – Build a fully responsive AI-enhanced web application.
Course Breakdown
Month 1: Introduction to Web Development & AI Tools
📌 HTML Fundamentals – Learn structure, tags, and attributes.
📌 CSS Basics – Understand styling, properties, and layouts.
📌 JavaScript Introduction – Functions, events, and interactivity.
📌 AI in Web Design – Optimize user experience using AI-powered tools like Wix ADI.
Month 2: Intermediate JavaScript & AI-Powered Features
📌 DOM Manipulation – Modify and update web pages dynamically.
📌 Working with APIs – Fetch and display real-time data.
📌 Advanced CSS – Responsive design using Flexbox and Grid.
📌 AI in Web Applications – Implement TensorFlow.js for smart web features.
Month 3: Final Project & AI Integration
📌 Building a Smart Web App – Develop an AI-powered project.
📌 Machine Learning in the Browser – Implement AI features like chatbots.
📌 Testing & Optimization – Use AI-driven tools for performance & SEO.
📌 Project Presentation – Showcase AI-enhanced web applications.
Who Should Enroll?
✔ Aspiring Web Developers looking to build a career in front-end development.
✔ Students & Professionals aiming to enhance their web development skills.
✔ Tech Enthusiasts eager to integrate AI into web applications.
✔ Freelancers & Entrepreneurs who want to build AI-powered websites.
Why Choose This Course?
✅ Hands-on Learning – Develop real-world projects.
✅ AI-Powered Web Development – Integrate machine learning into web apps.
✅ Industry-Relevant Curriculum – Learn modern web technologies.
✅ Career Growth – Gain skills needed for high-paying web development roles.
Course 02
Introduction to Data Science with Python (3 Months)
Introduction to Data Science with Python
Duration: 3 Months | Fee: PKR 35,000
Course Overview
Unlock the potential of data science and AI with Python! This hands-on course is designed for students, professionals, and analysts who want to learn data handling, visualization, machine learning, and AI-powered analytics. Gain expertise in Pandas, NumPy, TensorFlow, and Scikit-learn to build predictive models and extract insights from real-world data.
What You’ll Learn
✔ Python for Data Science – Learn Python syntax, functions, and scripting using Google Colab.
✔ Data Handling & Cleaning – Use Pandas and AI tools for structuring datasets.
✔ Data Visualization – Create insightful charts with Matplotlib, Seaborn, and AI-powered tools.
✔ Machine Learning & AI – Implement supervised and unsupervised learning models.
✔ Deep Learning & NLP – Build neural networks and process text data using AI-powered NLP.
✔ AI in Predictive Analytics – Use AI tools for automating prediction models.
✔ Final Project – Work on a real-world dataset and build an AI-driven data science model.
Course Breakdown
Month 1: Python Basics & AI Tools for Data Science
📌 Introduction to Python – Learn Python syntax and set up Google Colab.
📌 Data Handling with Pandas & NumPy – Structure and clean datasets with AI tools.
📌 Data Visualization – Create charts using Matplotlib & Seaborn with AI-based insights.
📌 Machine Learning Introduction – Implement simple models using Scikit-learn.
Month 2: Intermediate Data Science & AI Applications
📌 Supervised Learning – Train classification & regression models with AI-based libraries.
📌 Unsupervised Learning – Apply clustering algorithms and anomaly detection techniques.
📌 Deep Learning with TensorFlow – Build neural networks for image classification.
📌 Natural Language Processing (NLP) – Analyze text data with AI-powered NLP tools.
Month 3: AI in Data Science & Final Project
📌 Model Evaluation & Tuning – Optimize models using accuracy, precision, and recall metrics.
📌 AI for Predictive Analytics – Build models for stock price prediction & customer churn.
📌 Final Project – Part 1 – Apply machine learning to a real-world dataset.
📌 Final Project – Part 2 – Present insights and AI-driven model performance.
Who Should Enroll?
✔ Students & Professionals looking to develop Python & data science expertise.
✔ Business Analysts & Data Enthusiasts eager to use AI-driven analytics.
✔ Anyone interested in machine learning & AI-powered data insights.
Why Choose This Course?
✅ Hands-on Learning – Work on real datasets & AI-powered analytics.
✅ Industry-Relevant Skills – Master tools like Python, TensorFlow & Scikit-learn.
✅ AI-Driven Training – Learn automation & predictive modeling techniques.
✅ Career Advancement – Gain high-demand data science & AI expertise.