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[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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Intermediate
Course Description
Artificial Intelligence is no longer the future—it's the present. This CBSE-aligned Class 8 course empowers students to move beyond understanding AI and start building, evaluating, and using AI responsibly. Through hands-on projects, coding, machine learning concepts, and ethical AI practices, students gain the confidence to create intelligent solutions for real-world challenges.
What You'll Learn
This course provides a practical introduction to Artificial Intelligence, helping students understand how AI systems are developed, tested, and used responsibly. You'll explore:
- Advanced Computational Thinking & AI
- AI Project Life Cycle
- Data Collection, Cleaning & Preparation
- Machine Learning Fundamentals
- Training & Evaluating AI Models
- AI Applications Across Industries
- Responsible AI, Ethics, Fairness & Bias
- Python Programming for AI Basics
- Hands-on AI Projects, Case Studies & Assessments
Learning Outcomes
By the end of this course, students will be able to:
- Apply Computational Thinking to solve real-world challenges effectively.
- Understand the AI Project Cycle from problem identification to deployment.
- Collect, organize, and prepare data for AI applications.
- Explain the fundamentals of Machine Learning and model evaluation.
- Build simple AI-powered projects using beginner-friendly tools and Python.
- Analyze AI systems for fairness, accuracy, ethics, and responsible use.
- Develop critical thinking, innovation, collaboration, and future-ready technology skills.
Tools & Skills Covered
- Learn the fundamentals of Artificial Intelligence and its real-world applications.
- Develop strong Computational Thinking and logical problem-solving skills.
- Understand the basics of Machine Learning and how AI models learn from data.
- Build a foundation in Python Programming for AI development.
- Explore the complete AI Project Cycle from problem identification to solution development.
- Learn Data Collection and Analysis techniques for AI applications.
- Understand Model Evaluation and how to measure AI performance.
- Discover the fundamentals of Prompt Engineering for effective AI interactions.
- Explore Responsible AI Practices and the importance of AI Ethics.
- Strengthen your Innovation, Creativity, and Problem-Solving abilities through hands-on activities and projects.
Why Choose This Course?
- CBSE-Aligned Curriculum designed specifically for Class 8 learners.
- Project-Based Learning with real-world AI challenges and practical activities.
- Hands-on Experience in building, testing, and evaluating AI models.
- Learn Responsible AI with a focus on ethics, fairness, privacy, and bias.
- Future-Ready Skills in AI, Coding, Data Science, and Computational Thinking.
- Lifetime Access to course content for continuous learning and revision.
By completing this course, students will gain practical experience in Artificial Intelligence, Computational Thinking, and the AI Project Cycle. They will be able to build intelligent solutions, evaluate AI systems responsibly, and understand the importance of ethical technology. Equipped with industry-relevant skills and hands-on experience, students will be ready to explore advanced learning in AI, Machine Learning, Data Science, Robotics, and Python Programming. Start your AI journey today and become a responsible innovator for tomorrow's world!
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
1.1
Python Review & Advanced CT
1.2
Dictionaries & Sets
1.3
File Handling
1.4
Data Analysis Basics
2
Python Advanced & Algorithms
2.1
Data Visualisation
2.2
Algorithm Complexity
2.3
Search & Sort Algorithms
2.4
Recursion Basics
3
Computational Thinking & OOP
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
4.1
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
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
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)
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
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
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
Instructor
Verified
Satendra Patel | AI and Robotics Instructor
Hey there! Learn with me in a gamified way.
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Students
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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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What’s Included
Everything you need to know about this course
Lectures
40 ClassesDuration
10 monthLevel
BeginnerLanguage
English / HindiWhat you need / Requirement
Internet
A stable internet connection is required for online classes and learning activities.
Laptop/PC
A personal computer is essential for hands-on practice and project work.
Browser
A web browser like Chrome or Firefox is needed to open learning websites and access course content online.
English
Basic understanding of English is required, as the course content and instructions are primarily in English
Notebook
Basic understanding of English is required, as the course content and instructions are primarily in English
Learning Path
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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FAQ
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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