AI & Python Professional Program

The AI & Python Professional Program is designed for Grade 8–10 students who are ready to move beyond basic programming and explore the practical world of Artificial Intelligence. The learning journey starts with Python Programming Foundations, covering installation, Jupyter Notebook, first programs, variables, data types, input and output, operators, conditional statements, and loops. Students then progress to functions, lists, tuples, sets, dictionaries, file handling, and a mini Python project. This structured progression helps learners build confidence in writing text-based Python programs and solving programming problems.

The program then introduces Artificial Intelligence Fundamentals through a Grade 8 curriculum focus. Students explore Artificial Intelligence, Machine Learning, and Deep Learning, along with real-world AI applications. They use NumPy for AI data, work with arrays, learn Pandas basics, clean datasets, visualize data, and connect data to decisions. Practical projects such as a Student Marks Analyzer, Sales Dashboard, Weather Data Analysis, and Attendance Analyzer provide opportunities to work with real-world datasets and turn data into useful insights.

Machine Learning Foundations form the Grade 9 portion of the program. Students learn what Machine Learning is, explore different types of Machine Learning, prepare data, train their first ML model, make predictions, evaluate model accuracy, and improve accuracy. Project work includes Iris Flower Classification, House Price Prediction, Student Performance Predictor, and a basic Movie Recommendation project. These activities introduce the complete flow from preparing data to training and evaluating models.

The Grade 10 curriculum moves into Computer Vision and AI Applications. Students work with image data, image classification, image model training, and ML outputs before exploring speech recognition and Text AI. They build practical applications including Image Classification, Face Detection, Object Recognition, Smart Camera AI, Voice Assistant, AI Chat Application, Image Recognition System, and AI Automation Workflow. The program uses tools including Python, Jupyter Notebook, NumPy, Pandas, Scikit-Learn, OpenCV, PictoBlox Python Mode, and Google Colab.

The final part of the program focuses on Responsible AI and Career Readiness. Students examine AI Ethics, Bias in AI, Responsible AI, and AI Career Paths before presenting a Final Capstone Project. Alongside practical coding, learners receive a Python Programming Workbook, AI & Machine Learning Handbook, practice assignments, and a completion certificate. The program emphasizes portfolio development and future-ready skills connected with Artificial Intelligence, Data Science, Software Development, and Robotics.