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[Class-7] Computational Thinking & AI -CBSE Aligned
Explore how Artificial Intelligence learns through data, machine learning models, Python programming, NLP, AI ethics, and real-world projects designed for future innovators.
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Intermediate
Course Description
The Class 7 Computational Thinking & AI program takes students beyond AI basics and into the fascinating world of Machine Learning, Data Science, Natural Language Processing, and Responsible AI.
Students learn how AI systems are trained, how machines recognize patterns, make predictions, and how bias can affect AI decisions. Alongside Artificial Intelligence, learners develop Python programming skills, data analysis techniques, and computational thinking strategies that prepare them for advanced technology pathways.
Through hands-on AI tools such as Teachable Machine and ML for Kids, students build image, audio, and text classifiers while exploring real-world applications of AI in healthcare, education, agriculture, and social impact.
The course culminates in a community-focused AI innovation project where students identify a real-world challenge and design an AI-powered solution.
Key Learning Areas
✔ Advanced Computational Thinking
✔ Python Programming
✔ Data Science Fundamentals
✔ Machine Learning Models
✔ Classification, Regression & Clustering
✔ Natural Language Processing (NLP)
✔ AI Ethics & Bias
✔ Responsible AI
✔ AI for Social Good
✔ Community Innovation Projects
Learning Path
10 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
Module 10
1
Advanced Computational Thinking & Problem Solving
1.1
Computational Thinking Year Review and Advanced Challenge Problems
1.2
Advanced Abstraction and Complex System Modeling
1.3
Understanding Algorithm Efficiency and Optimization
1.4
Writing and Tracing Pseudocode Solutions
1.5
Algorithm Optimization Challenge Project
2
Python Programming Foundations
2.1
Introduction to Python Programming Fundamentals
2.2
Python Conditions, Loops and Interactive Programs
2.3
Functions and Reusable Code Design
2.4
Working with Lists and Data Collections
2.5
Python Utility Builder Project (Quiz / Calculator / Game)
3
Computational Thinking Across Subjects
3.1
CT + Mathematics: Integers and Algebra
3.2
CT + Mathematics: Geometry and Data Handling
3.3
CT + Science: Nutrition, Heat and Motion
3.4
CT + Social Studies: Maps, Timelines and Democracy
3.5
Advanced Spatial Reasoning and Visual Thinking
3.6
Smart School Problem Solver Project
4
Advanced Algorithms & Assessment
4.1
Algorithm Design Sprint
4.2
Computational Thinking Assessment
4.3
Mixed CT Challenge Tournament
4.4
Computational Thinking Strategy Project
5
Foundations of Artificial Intelligence
5.1
How Artificial Intelligence Learns
5.2
Labelled vs Unlabelled Data
5.3
Understanding Classification Tasks
5.4
Exploring Regression and Clustering
5.5
AI Decision Tree Explorer Project
6
Hands-On Machine Learning & NLP
6.1
Teachable Machine Image Classification
6.2
Audio Classification with AI
6.3
Text Classification Using ML for Kids
6.4
Introduction to NLP and Real-Life Applications
6.5
AI Image, Audio or Text Classifier Project
7
AI Ethics, Bias & Society
7.1
Understanding AI Bias
7.2
Sources of Bias in Data and Models
7.3
Fairness and Responsible AI Design
7.4
AI and Society Debate
7.5
Responsible AI Awareness Campaign Project
8
AI Applications & Innovation
8.1
AI in India: Real-World Applications
8.2
AI for Social Good
8.3
AI Project Ideation Workshop
8.4
AI Assessment
8.5
AI for Good Idea Pitch Project
9
Community AI Project Development
9.1
Launching the AI for My Community Project
9.2
Data Collection and Research
9.3
Data Cleaning and Analysis
9.4
Building and Improving the AI Model
9.5
AI for My Community Project Submission
10
Presentation, Showcase & Certification
10.1
Poster Design and Executive Summary Creation
10.2
Dry Run and Peer Feedback Session
10.3
Project Showcase Day I
10.4
Project Showcase Day II
10.5
Reflection, AI Practitioner Badge and Innovation Showcase
Instructor
Verified
Anjali Gupta | Robotics and AI Educator
Learn Robotics and AI With me
100+
Reviews
200+
Students
15+
Courses
Biography
“
Anjali is a Robotics and AI Trainer who simplifies complex concepts into engaging, hands‑on lessons for young learners. She has taught more than 200+ students across Lucknow using Arduino, Pictoblox, Tinkercad. Classes emphasize creativity, critical thinking, and real‑world problem solving. She also contributes to curriculum design to make learning accessible and impactful.
She holds B.Tech from AKTU, with a focus on Web Development. Teaching is student‑centric and detail‑oriented, supported by projects. She delivered live and interactive sessions and supported diverse learners.
Mission: to make technology learning exciting, inclusive, and future‑ready for every student.
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What’s Included
Everything you need to know about this course
Lectures
50 ClassesDuration
12 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.
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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From AI Explorer to AI Practitioner
- Hands-on AI tools like Teachable Machine and ML for Kids
- Build real image, audio, and text classifiers
- Real-world AI applications in healthcare, education, agriculture, social impact
- Python programming integrated with computational thinking
- Community-focused AI innovation capstone project
- Dedicated guidance from AI & Python educators
- Feedback on ML models, classifiers, and projects
- Doubt-solving sessions on Python, data science concepts
- Parent updates on student progress
- Access to datasets, code templates, and practice resources
- Early exposure to in-demand career paths in AI, Data Science, and Machine Learning
- Industry-relevant tools (Teachable Machine, ML for Kids) used by actual data professionals
- Insight into how today's AI professionals use similar tools and techniques in real industry projects
- Certification of completion to mark foundational AI/ML competency
- Awareness of how AI is applied across industries — healthcare, agriculture, education — opening eyes to future fields
- Showcase AI innovation projects to peers and parents
- Collaborate in teams to design AI-powered solutions
- Participate in innovation days and AI demo events
- Earn certificates and recognition for completed projects
- Join a community of young AI builders
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Got Questions?
Frequently Asked Questions
Everything you need to know about [Class-7] Computational Thinking & AI
The Class 7 Computational Thinking & AI course introduces students to Machine Learning, Data Science, Natural Language Processing (NLP), and Responsible AI. Students learn how AI systems are trained, how machines recognize patterns, make predictions, and solve real-world problems. Through hands-on projects and Python programming, learners build AI models and create innovative solutions for community challenges.
Classes are highly interactive and project-based, combining live instruction, discussions, coding activities, AI experiments, and collaborative challenges. Students use beginner-friendly tools such as Python, Teachable Machine, and ML for Kids to explore machine learning concepts, analyze data, and build AI-powered applications.
Yes. Students who successfully complete the course and submit their final AI innovation project will receive a Certificate of Completion recognizing their skills in Computational Thinking, Python Programming, Machine Learning, and Responsible AI.
This course goes beyond coding by helping students understand how intelligent systems learn, make decisions, and impact society. In addition to Python programming, students explore Machine Learning, Data Science, AI Ethics, Bias Detection, and AI for Social Good. The focus is on building real-world problem-solving skills and creating meaningful AI solutions rather than just learning programming syntax.
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