
Live Online Python Programming Course – Middle School Level (Batch 2)
About this course
This beginner-friendly Python course is tailored for students in Grades 6–8, blending fun with foundational concepts. Learners explore programming through real-time problem solving, creative coding, and visual output. Starting with basic syntax, students move on to loops, functions, conditions, and lists, with hands-on projects and games reinforcing every concept. The course also includes Turtle graphics for a visual, engaging experience with logic and creativity.
Key Benefits:
- Designed specifically for middle school learning levels
- Combines logical thinking with creative coding challenges
- Introduces core programming structures through fun visuals
- Encourages independence and confidence in using Python
- Lays the groundwork for advanced coding in high school
What You’ll Learn:
Module I: Python Programming Basics
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What is Python and how to write your first code
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Variables, data types, and printing to the screen
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Taking input and doing calculations
Module II: Decision Making & Loops
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Conditional statements (if, elif, else)
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While loops and for loops
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Writing programs that react to user input
Module III: Functions & Lists
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Defining and calling your own functions
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Working with lists: creating, indexing, and iterating
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Using functions with loops and conditions
Module IV: Turtle Graphics
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Drawing with code using the Turtle module
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Loops to create shapes and animations
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Pattern design with color and logic
Module V: Final Projects & Review
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Mini games and interactive projects
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Debugging and testing your own code
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Presentation of final projects
Why learn with Infyni Kids
- 100% Verified Teachers
- Weekly Evaluation
- Personalized Homework Support
- Regular PTM
- Guarantee Child’s Success
- Progress Reports
What you'll learn
Course content
24 modulesYour instructor

I am a passionate AI and computer vision enthusiast with a strong research inclination. I hold a master's in machine learning & artificial intelligence and am deeply interested in applying computer vision techniques to real-world problems. I qualified for UGC NET with 98.72%, demonstrating my strong academic foundation and research aptitude. Beyond research, I enjoy mentoring and guiding young students, helping them develop a strong foundation in AI, machine learning, and computer vision.
7-day Money Back! Guarantee
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This course includes









