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Since September 2022
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Game development for kids learn basics of coding
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From 8 C$ /h
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**Game Development for Kids**

Turn your child's creativity into real games! In this fun, hands-on course, kids learn the basics of game development by designing and building their own interactive games. They will explore coding concepts such as sequences, loops, events, variables, conditions, and animations using beginner-friendly platforms like Scratch and Python (based on age and level).

Students will create exciting projects including maze games, platform games, racing games, quizzes, and adventure games while improving logical thinking, creativity, problem-solving, and computational skills.

**What kids will learn:**

* Game design fundamentals
* Coding through fun projects
* Animation and character movement
* Scoring, levels, and game challenges
* Debugging and problem-solving
* Creative storytelling through games

**Age Group:** 6–12 years
**Skill Level:** Beginner to Intermediate
**Course Format:** Live online, project-based classes

By the end of the course, every student will have built multiple playable games and gained the confidence to create their own unique game ideas.
Extra information
Bring your own laptop
Location
location type icon
Online from India
Age
Preschool children (4-6 years old)
Children (7-12 years old)
Teenagers (13-17 years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Tamil
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Computer Coding now is a basic literacy in this Digital Environment CodingEnhances Problem Solving and Logical Thinking Skills Gift your Child this new skill for the future Treat Your Child to learn Extra Curriculum Activities.Kids can learn coding at this young age to develop their knowledge Enhance Learner's "Creativity and Logical Thinking"
Read more
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I am a PhD-qualified engineer, university professor, researcher, programmer, and multidisciplinary tutor with more than 30 years of experience across teaching, technical training, engineering, information systems, quantitative analysis, research, data mining, programming, and intelligent knowledge-based systems.

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• Variables, data types, operators, and expressions
• Input, output, and program flow
• Conditional statements and decision making
• For loops and while loops
• Functions, parameters, return values, and scope
• Strings and text processing
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• Error handling and exceptions
• Modules, packages, and reusable code
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• pandas for structured data manipulation
• matplotlib for visualization
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• Automation of repetitive tasks
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• Working with files and external data
• Introduction to APIs when relevant
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• Research and quantitative applications
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• Foundations of machine learning
• Supervised and unsupervised learning
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• Model comparison and interpretation
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• Foundations and major branches of Artificial Intelligence
• How intelligent systems represent, classify, predict, and support decisions
• Knowledge representation concepts
• Ontologies and structured knowledge
• Rule-based reasoning and expert-system foundations
• Intelligent decision-support systems
• Generative AI and large language model concepts
• Prompt design and effective AI-assisted workflows
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understand the problem → design the logic → represent and prepare the data → write or select the method → test it → evaluate the output → debug or improve it → interpret the result → apply it responsibly

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My goal is to help you become an independent computational problem solver who can understand, build, evaluate, and apply intelligent solutions—not merely copy code or use AI tools without understanding them.
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My courses are aimed at students of all levels and objectives: refresher courses, preparation for tests, exams or in-depth study of concepts.

Each session is tailored to the student's needs. We begin by identifying difficulties, then review the concepts covered in the lesson before applying them through exercises of increasing difficulty. I place great importance on understanding concepts and developing reasoning skills rather than rote learning.

The courses take place exclusively online, which allows for efficient work on the course material, exercises and corrections in real time.

As an engineering student at ENSIMAG and a former student of MPSI-MP preparatory classes, I leverage my strong background in mathematics and computer science to guide students with rigor, patience, and effective teaching methods. My goal is to help them make lasting progress, gain confidence, and become independent in their work.
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I enjoy sharing my knowledge of mathematics and computer science, especially when it helps someone overcome a difficulty and better understand a concept.
I want to make these subjects simpler and more accessible, to support each person at their own pace and to give them confidence in their ability to think and find a solution on their own.
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