[Class 8] AI Practitioner: Build, Evaluate and Innovate Responsibly - CBSE Aligned

Learn the fundamentals of Artificial Intelligence, computational thinking, coding, and problem-solving through fun activities, games, and interactive projects designed specifically for Class 8 students.

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1000+ Students
Intermediate Level
40 Classes 10 month
India
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Course Description

AI Explorers: Discover, Code & Create is an engaging beginner-friendly course designed for Class 8 students to develop computational thinking and introduce them to the exciting world of Artificial Intelligence.

Through hands-on activities, visual programming, puzzles, storytelling, and AI-powered tools, students will learn how computers think, solve problems, recognize patterns, and make decisions. The course encourages creativity, logical reasoning, teamwork, and innovation while making technology fun and accessible.

Students will build simple projects, explore machine learning concepts through age-appropriate examples, and gain confidence in using technology to solve real-world challenges.

Learning Outcomes:

  • Understand computational thinking concepts.
  • Develop logical and critical thinking skills.
  • Learn sequencing, patterns, and algorithms.
  • Explore basic coding concepts.
  • Understand how AI works in everyday life.
  • Build beginner-friendly AI and coding projects.
  • Improve creativity and problem-solving abilities.
Learning Path
9 Modules • Click a step to explore
0%
Module 1
Module 2
Module 3
Module 4
Module 5
Module 6
Module 7
Module 8
Module 9
1
Python Foundations
4 lectures
1.1

Python Review & Advanced CT

1.2

Dictionaries & Sets

1.3

File Handling

1.4

Data Analysis Basics

2
Python Advanced & Algorithms
4 lectures
2.1

Data Visualisation

2.2

Algorithm Complexity

2.3

Search & Sort Algorithms

2.4

Recursion Basics

3
Computational Thinking & OOP
4 lectures
3.1

CT + Math: Advanced Problems

3.2

CT + Science: Physical World

3.3

Spatial Visualisation Challenge

3.4

Python: OOP Basics

4
Projects & APIs
4 lectures
4.1

Python: Mini Data Project

4.2

Python: APIs (Intro)

4.3

CT Assessment (Class 8 Level)

4.4

Python Coding Assessment

5
AI & Machine Learning Basics
4 lectures
5.1

Recap: How AI Learns

5.2

Neural Networks — Intuition

5.3

Deep Learning Applications

5.4

Convolutional Neural Nets (Intro)

6
Generative AI & LLMs
4 lectures
6.1

Generative AI — What It Is

6.2

How LLMs Work (Conceptual)

6.3

Prompting Skills

6.4

GenAI: Images & Art / Code Generation

7
ML Hands-On (Scikit-learn)
4 lectures
7.1

Scikit-learn: First ML Model

7.2

ML Model Evaluation

7.3

Improving a Model

7.4

NLP: Sentiment Analysis & Chatbot Basics

8
AI Ethics & Society
4 lectures
8.1

AI in Healthcare / Agriculture / Education

8.2

Deepfakes & Misinformation

8.3

Surveillance & Privacy

8.4

AI Governance, Regulation & Inclusive AI

9
Capstone Project
4 lectures
9.1

Project Launch + Literature Review + Dataset Sourcing

9.2

EDA + Model Selection & Training

9.3

Model Evaluation + UI + Ethical Analysis + Documentation

9.4

Showcase Day

Satendra Patel | AI and Robotics Instructor profile picture
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Satendra Patel | AI and Robotics Instructor

Hey there! Learn with me in a gamified way.

4.2
Rating
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Reviews
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Students
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Courses
Biography

I am a Robotics Teacher with experience in teaching STEM concepts through hands-on, engaging lessons designed for young learners. I specialize in simplifying complex topics into practical, easy-to-understand activities that emphasize creativity, critical thinking, and real-world problem solving. I have successfully taught 200+ students aged 10–13 across India, the US, UK, and Canada using platforms such as Arduino, Raspberry Pi Pico, and Micro:bit. Along with teaching, I also contribute to curriculum design to make learning accessible and impactful.

Passionate about making technology learning exciting and future-ready, I am committed to preparing students through interactive methods and practical projects. My student-centric and detail-oriented teaching approach ensures that every learner feels supported and inspired.

Educational Qualification – B.Tech in Computer Science and Engineering from Lovely Professional University

Experience – 2+ year in NaivoTech, delivered live online and offline robotics sessions  

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AI Practitioner: Build, Evaluate and Innovate Responsibly

What’s Included

Everything you need to know about this course

Lectures
40 Classes
Duration
10 month
Level
Beginner
Language
English / Hindi

What you need / Requirement

Internet
Internet

A stable internet connection is required for online classes and learning activities.

Laptop/PC
Laptop/PC

A personal computer is essential for hands-on practice and project work.

Browser
Browser

A web browser like Chrome or Firefox is needed to open learning websites and access course content online.

English
English

Basic understanding of English is required, as the course content and instructions are primarily in English

Notebook
Notebook

Basic understanding of English is required, as the course content and instructions are primarily in English

Your Journey. Your Growth.

A structured path designed to take you from basics to mastery with clarity, confidence, and real-world impact.

01

Beginner

Start with fundamental concepts and build a strong foundation.

02

Intermediate

Expand your knowledge and start building practical projects.

03

Advanced

Dive deeper into specialized areas and master complex techniques.

04

Master

Achieve expert-level proficiency and innovate with your skills.

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  • Interactive, activity-based lessons designed for beginner learners
  • Learn through puzzles, games, worksheets, and storytelling
  • Visual programming and beginner-friendly coding activities
  • Real-world examples that make computational thinking fun and meaningful
  • Hands-on AI exploration through age-appropriate tools and projects
  • Dedicated support from experienced CT & AI educators
  • Regular feedback on activities, worksheets, and projects
  • Doubt-solving sessions and learning guidance
  • Parent updates on student progress
  • Access to learning resources and practice materials
  • Build early confidence through hands-on activities and mini-projects
  • Develop problem-solving and logical thinking skills
  • Improve creativity, communication, and teamwork
  • Strengthen digital literacy and basic technology awareness
  • Lay the foundation for advanced Coding, Robotics, and AI learning ahead
  • Team-based games and collaborative challenges
  • Project showcase sessions for students and parents
  • Participate in fun learning events and innovation days
  • Earn certificates, badges, and achievement recognition
  • Become part of a growing community of young learners and innovators

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Got Questions?

Frequently Asked Questions

Everything you need to know about [Class 8] AI Practitioner: Build, Evaluate and Innovate Responsibly

The Class 8 Computational Thinking & AI course helps students deepen their understanding of Artificial Intelligence, Machine Learning, Data Science, and Python programming. Students explore how intelligent systems learn from data, make predictions, process language, and solve real-world problems. Through hands-on projects and AI tools, learners gain practical experience while strengthening critical thinking and innovation skills.

Classes are conducted through interactive, project-based learning sessions that combine coding, AI experiments, problem-solving activities, and collaborative discussions. Students work with Python, machine learning platforms, datasets, and AI tools to build models, analyze information, and create meaningful technology solutions.

Yes. Students who successfully complete the course requirements and present their final AI innovation project will receive a Certificate of Completion recognizing their skills in Computational Thinking, Artificial Intelligence, Data Science, and Python Programming.

Unlike traditional coding courses that focus mainly on programming, this course teaches students how intelligent systems think, learn, and make decisions. Students explore Machine Learning, Data Analysis, Natural Language Processing, AI Ethics, and Responsible AI while developing coding skills. The emphasis is on solving real-world challenges, creating innovative projects, and understanding the impact of AI on society.

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