AI & Machine Learning Using Python
This course is designed to introduce young learners to Python programming and Artificial Intelligence through interactive, activity-based learning. Students will develop logical thinking, creativity, and problem-solving skills while building real-world projects. After completing this course, students will be able to design games, apps, and AI projects, strengthen their coding and problem-solving skills, and gain confidence to pursue future careers in technology and innovation.
Introduction to Python Basics
- Introduction to coding and AI, variables, data types, input/output, basic operators
- Project: Basic Calculator based on Inputs
Logic Building & Control Statements in Python
- Logic Building & Control Statements in Python
- loops, Nesting of Loops, Control statements, problem-solving exercises
Projects: Student Marksheets, Voter ID check, Electricity Bill, Income Tax Calculation, Choice based inputs etc
Collections & Functions
- Lists, Tuples, Strings, dictionaries
- Functions and recursion, Python Libraries, Creating your own Library in Python
- File Handling (Reading, Writing, Append), Export/Import date to/from Excel
Project: Student Marks Manager, Storing student records in Excel
Turtle Graphics
- Drawing shapes & patterns
- logic building, decision-making, data representation
Projects: Traffic Light Simulation, Digital Clock (Analog Style), Bouncing Ball
Game Development (Pygame and Turtle)
- Game logic, Animations, Keyboard control using Pygame and Turtle
Projects: Catch the Ball Game, Car Racing Game, Snake Game, Space Shooter Game, Tic Tac
Toe Game
Data Handling & Visualization
- Libraries: NumPy, Pandas, Matplotlib and Seaborn
- Transforms raw data into interactive visuals, making coding engaging, insightful, and real
world relevant. - Working with data & charts
Projects: Student Performance Dashboard, Weather Data Tracker, Daily Routine Tracker, Fitness Tracker (Steps Counter) etc.
GUI – Interactive Libraries (Tkinter)
- Build interactive graphical user interfaces using :widgets, layouts, and event handling (button click, keyboard input).
- Frames & basic UI design, Dialog boxes (messagebox, input dialogs)
Project: Student Marks Analyzer App, Arithmetic Calculator
AI based Projects
➢ Image AI :
Projects: Image Recognition, Face Detection System
➢ Voice AI/Text AI
Projects: Speech Recognition and Text-to-Speech, AI Chatbot
Tools & Technologies
Python, Jupyter Notebook, VS Code, Turtle, Pygame, Pandas, Matplotlib, OpenCV/TensorFlow, Speech Recognition, Streamlit etc.
Teaching Methodology
20% Theory and 80% Practical approach with gamified learning
Assessment & Certification
Students will be evaluated through assignments, module-based projects, and a final project
presentation.
Certificate will be awarded upon successful completion.
Why Choose This Course
This AI & Machine Learning course offers practical, hands-on training in Python, real-world projects, and industry tools. Designed for beginners and aspiring professionals, it builds strong coding, problem-solving, and AI skills. With expert guidance, interactive learning, and certification, students gain confidence and job-ready experience to succeed in today’s competitive technology-driven career environment.
- Practical Learning with Real-World Projects
- Covers Python, AI, Game Development & Data Science
- Beginner-Friendly with Step-by-Step Approach
- Strong Focus on Logic Building & Problem Solving
- Certification After Completion
Frequently Asked Questions
You will work on real-world projects like games, AI applications, dashboards, chatbots, and more.
You will learn Python, Pandas, TensorFlow, OpenCV, Pygame, Tkinter, and other industry tools.
Yes, this course is specially designed for students and beginners interested in coding and AI.
Yes, the course helps build job-ready skills and provides guidance for future career opportunities.
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