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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
Artificial Intelligence is shaping the future, and understanding how it works is an essential skill for every student. This CBSE-aligned Class 7 course strengthens Computational Thinking while introducing students to more advanced Artificial Intelligence concepts. Through coding, AI activities, data exploration, and real-world problem-solving, learners develop the skills needed to become confident creators of technology—not just users.
What You'll Learn
This course builds upon the fundamentals of Computational Thinking and introduces students to the core concepts behind Artificial Intelligence and Machine Learning through engaging, project-based learning.
You'll explore:
- Advanced Computational Thinking & Problem Solving
- Algorithms, Logic & Flowcharts
- Data Collection, Analysis & Pattern Recognition
- Introduction to Machine Learning
- Types of AI and Intelligent Systems
- AI Applications in Healthcare, Education & Daily Life
- AI Ethics, Bias & Responsible AI
- Block-Based & Beginner Python Programming
- Hands-on AI Projects, Coding Challenges & Assessments
Learning Outcomes
By the end of this course, students will be able to:
- Apply Computational Thinking strategies to solve complex real-world problems.
- Design algorithms and logical solutions using structured programming concepts.
- Understand how Artificial Intelligence and Machine Learning systems work.
- Analyze data to identify patterns and make informed decisions.
- Build beginner-level AI and coding projects using practical tools.
- Explain the importance of ethical AI, fairness, privacy, and responsible technology use.
- Strengthen critical thinking, creativity, collaboration, and innovation skills.
Tools & Skills Covered
- Computational Thinking
- Artificial Intelligence Fundamentals
- Machine Learning Basics
- Data Analysis & Pattern Recognition
- Algorithms & Flowcharts
- Logical Reasoning
- Block-Based Coding
- Beginner Python Programming
- AI Ethics & Responsible AI
- Project-Based Learning
Why Choose This Course?
- CBSE-Aligned Curriculum designed specifically for Class 7 students.
- Hands-on AI & Coding Projects to reinforce learning through practice.
- Real-World AI Applications to connect classroom concepts with everyday technology.
- Future-Ready Skills in AI, Coding, Data Science, and Computational Thinking.
- Interactive Learning Experience with activities, quizzes, and assessments.
- Lifetime Access to course content for continuous learning and revision.
By completing this course, students will have a solid understanding of Computational Thinking, Artificial Intelligence, and the basics of Machine Learning. They will be equipped with the knowledge and practical skills to solve problems creatively, build intelligent projects, and confidently explore advanced topics in AI, Robotics, Programming, and Data Science. Take the next step toward becoming a future innovator and technology leader!
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.
Master AI & Future Technologies
Think Smarter, Code Better with Computational Thinking & AI
Empower your child with advanced computational thinking, Artificial Intelligence, coding, and data-driven problem-solving. Through interactive projects, AI activities, and real-world applications, students build future-ready skills while following the latest CBSE curriculum.
Advanced AI & Machine Learning
Coding, Data & Algorithm Design
Real-World AI & STEM Projects
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- 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
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- Parent updates on student progress
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FAQ
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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