CBSE ICT, AI, Coding and Robotics Curriculum for Classes 1 to 10 As per NEP 2020 for Subject Code 417 and 843

Skillful Minds Curriculum for ICT, AI,
Coding and Robotics
CBSE (Class 1 to 10)
Transform your school computer labs from simple ICT learning to
comprehensive Al and Robotics lab, with carefully structured
curriculum and practical-based learning for 21st Century Skills.
Proposed by
Pankaj Kumar Verma
Co-founder & CTO STEMpedia
Mobile Number: +91 9044 287 470
Email: pverma@thestempedia.com

Skillful Minds Program for 21st
Century Computer, Coding, AI, and Robotics Education
www.thestempedia.com Page - 2 Agilo Research Private Limited

Skillful Minds (Class 1 to 8)
Mastering Coding, Artificial Intelligence, Robotics, and ICT with Fun
Activities for CBSE Schools
Skillful Minds is a comprehensive and dynamic curriculum tailored for CBSE schools, encompassing Classes 1 to 8. This
program focuses on delivering a robust understanding of Coding, Artificial Intelligence, Robotics, and ICT. Designed to
inspire curiosity and foster innovative thinking, it integrates practical lab activities with classroom learning, providing
students with a hands-on approach to mastering modern technology.
Program Detail
Item Detail
Board CBSE
Classes Class 1 to 8
Concepts Covered
Coding, Artificial Intelligence, Physical Computing, Robotics, Computer Basics, Windows 10
Basics and Microsoft Office
Detail of CBSE Skill
Subjects
CBSE Coding Skill Subject covered for Class 6 to 8
CBSE Artificial Intelligence Skill Subject covered for Class 8
Number of Lab Activities
For Class 1 to 2 – 18 Lab Activities
For Class 3 to 8 – 25 Lab Activities
Lesson Plan
For Class 1 to 2 – 36 Sessions (18 for Classroom Learning & 18 for Lab Activities)
For Class 3 to 8 – 50 Sessions (25 for Classroom Learning & 25 for Lab Activities)
Each of the Classroom Learning and Lab Activity session is of 40 minutes
Teacher Resources
Lesson Plan – Yearlong session wise lesson plan for teachers instructing how to execute the
program.
Lecture Slides – Provided for every Classroom Learning and Lab Activity session
Capstone Project
All students are provided opportunity work on open projects and submit their work in
Codeavour International Competition.
PictoBlox Credits Every student enrolled in the program will get 3000 PictoBlox credits.
Skillful Minds offers an engaging and forward-thinking curriculum for students in CBSE schools. By blending
theoretical knowledge with practical application, it aims to cultivate a deep understanding and passion for
technology among students. This curriculum not only prepares students for technological advancements but also
encourages them to become creative problem solvers and innovative thinkers for the future.

Skillful Minds Class 1 to 5 Comparative Study
Feature Class 1 Class 2 Class 3 Class 4 Class 5
# of Pages 66 68 112 127 128
# of Chapters 6 6 9 9 7
# of Activities 18 18 25 25 25
Software and
Hardware
Used
MS Paint, PictoBlox
Jr, Quarky
Tux Paint, PictoBlox
Jr, Quarky
Windows 10,
Notepad, WordPad,
MS Paint, Tux Paint,
MS Word, MS Excel,
PictoBlox, Quarky
Windows 10, MS
Paint, Tux Paint, MS
Word, MS
PowerPoint,
PictoBlox Block
Coding, PictoBlox AI,
Quarky
Windows 10,
Calculator, MS Paint,
WordPad, MS Word,
MS PowerPoint,
PictoBlox Block
Coding, PictoBlox AI,
Quarky
Competition Access to Codeavour
Technologies Computers, Coding, Artificial Intelligence and Robotics
Sessions
Required
Total 36 – (18 Lab
Activities, 18
Classroom)
Activities, 18
Classroom)
Activities, 25
Classroom)
Activities, 25
Classroom)
Activities, 25
Classroom)
Resources for
Teachers
Lesson Plan, Lecture Slides (Textual, Images, Video)
Certification Yes (5 lab activities) Yes (5 lab activities) Yes (10 lab activities) Yes (10 lab activities) Yes (10 lab activities)
TOC Chapters - Know Your
Computer
- Fun with Paint
- Algorithmic
Thinking
- Into the World of
Coding
- Into the Robotics
- Into the AI
- Know Your
Computer
- Fun with Paint
- Critical Thinking
and Analysis
- Into the World of
Coding
- Into the Robotics
- Into the AI
- Know Your
Computer
- Fun with Paint
- Introduction to
Algorithm and
Coding
- Introduction to MS
Word
Excel
- Sketch with
PictoBlox
- Fun with Robotics
- Game
Development
- Learn About AI
- Know Your
Computer
- Fun with Paint
- Basics of Coding
and Algorithm
Word
Excel
- Sketch with
PictoBlox
- Fun with Robotics
- Fun with AI
- Stepping into the
World of Game
Design
- Know Your
Computer
- Coding &
Algorithmic Thinking
- Explore More in
MS Word
- Introduction to
PowerPoint
- Fun with Robotics
- The World of AI
- Exploring the
Internet

Skillful Minds Class 6 to 8 Comparative Study
Feature Class 6 Class 7 Class 8
# of Pages 161 163 164
$ of Chapters 12 10 10
$ of Activities 25 25 25
CBSE Skill
Subject Covered
Class 6 Coding Skill Subject (Chapter
2 - 7)
Class 7 Coding Skill Subject
(Chapter 2 - 5)
Class 8 Coding Skill Subject (Chapter 2
- 6)
Class 8 Artificial Intelligence Skill
Subject (Chapter 9)
Software and
Hardware Used
Windows 10, Windows Media
Player, MS Word, MS PowerPoint,
PictoBlox Block Coding, PictoBlox AI,
Quarky
Windows 10, PicsArt App, MS
Excel, MS PowerPoint, PictoBlox
Block Coding, PictoBlox AI,
Quarky
Windows 10, Canva App, MS Excel,
PictoBlox Block Coding, PictoBlox
Python Coding, PictoBlox Machine
Learning, PictoBlox AI, Quarky
Competition Access to Codeavour Access to Codeavour Access to Codeavour
Technologies
Covered
Computers, Coding, Artificial
Intelligence and Robotics
Intelligence, Web Design and
Robotics
Intelligence, Data Science, Machine
Learning, and Robotics
Sessions
Required
Total 50 – (25 Lab Activities, 25
Classroom Learnings)
Resources for
Teachers
Lesson Plan, Lecture Slides (Textual, Images, Video)
Certification Yes (15 lab activities) Yes (15 lab activities) Yes (15 lab activities)
TOC Chapters - Basics of ICT
- Introduction to Coding
- Algorithms with Block Coding
- Variable using Block Coding
- Control with Conditions
- Loops using Block Coding
- Game Dev with Block Coding
- Basics of MS Word
- Basics of Microsoft PowerPoint
- Introduction to Robotics
- Fun with AI
- Internet and Computer
Networking
- Basics of ICT
- Coding & Variables in Real Life
- Sequencing with Block Coding
- Fun with Functions
- Collections and Arrays
- Introduction to MS Excel
- Explore More in PowerPoint
- Fun with AI
- Mastering Robotics
- Introduction to HTML
- Basics of ICT
- Basics of Python Programming
- Conditions in Details
- Get Creative with Loops
- Functions in Depth
- Understanding Arrays
- Mastering MS Excel
- Basics of Data Science in MS Excel
- Artificial Intelligence and Machine
Learning
- Introduction to Robotics and
Emerging Technologies

Software and Hardware Used
Windows
10
MS Paint Notepad PictoBlox
Junior
Blocks
Quarky
Robot
Windows
10
Tux Paint WordPad PictoBlox
Junior
Blocks
Quarky
Robot
Windows
10
MS Paint Tux Paint Notepad WordPad MS Word
16/19
MS Excel
16/19
PictoBlox
Block
Coding
Quarky
Robot
Windows
10
MS Paint Tux Paint MS Word
16/19
MS Excel
16/19
PictoBlox
Block
Coding
Quarky
Robot
Windows
10
MS Paint WordPad Calculator MS Word
16/19
MS
PowerPoint
16/19
PictoBlox
Block
Coding
Quarky
Robot
Google
Chrome
Windows
10
Windows
Media
Player
MS Word
16/19
MS
PowerPoint
16/19
PictoBlox
Block
Coding
PictoBlox
AI
Quarky
Robot
Windows
10
PicsArt MS Excel
16/19
MS
PowerPoint
16/19
PictoBlox
Block
Coding
PictoBlox
AI
Quarky
Robot
Notepad HTML
Windows
10
Canva App MS Excel
16/19
PictoBlox
Block
Coding
PictoBlox
AI
PictoBlox
Machine
Learning
Quarky
Robot

FAQs on Skillful Minds Program
1. What is the Skillful Minds Program?
The “Skillful Minds” program represents a significant advancement in the educational approach to technology and
computing in schools. Previously, schools operated computer labs that primarily focused on basic Information and
Communication Technology (ICT). These labs provided fundamental knowledge and skills in using computers and
understanding basic digital tools and software.
With the introduction of the “Skillful Minds” program, there has been a substantial upgrade in the scope and capability of
computer labs. They have been transformed into AI and Robotics Labs, indicating a shift towards more advanced and
contemporary areas of technology. This upgrade includes not only a complete coverage of traditional ICT subjects but also
incorporates extensive training and education in Coding, Artificial Intelligence (AI), and Robotics.
This means that students are now exposed to a wider range of technological skills and knowledge. They learn programming
languages and coding techniques, which are essential for creating software, apps, and websites. The AI component of the
program introduces them to the principles of artificial intelligence, machine learning, and data analysis, providing them
with insights into how intelligent systems are designed and function. Robotics education brings a hands-on approach to
learning, where students can apply their coding and AI knowledge to build and program robots, understanding the
mechanics, electronics, and software integration necessary for robotics.
Overall, the “Skillful Minds” program represents a modern and forward-thinking approach to technology education in
schools, preparing students for a future where digital literacy, programming skills, and an understanding of AI and robotics
will be increasingly important.
2. What classes does the Skillful Minds Program cater to?
This program is meticulously structured for students across a wide age range, specifically targeting those in Class 1 through
Class 8. It is crafted to suit the learning capabilities and educational needs of each age group, gradually building complexity
and depth as students progress through their school years.
3. Which concepts are covered in the Skillful Minds Program?
The program covers a diverse range of technological and computer science concepts. These include the basics of coding
and programming languages, the fundamentals and applications of artificial intelligence, the principles of physical
computing, the operation and understanding of robotics, general computer literacy, and an introduction to Windows 10
and various Microsoft Office tools. This wide range of topics ensures a well-rounded exposure to essential technology
concepts.
4. How is the Skillful Minds Program aligned with CBSE's skill subjects?
In alignment with the CBSE curriculum, Skillful Minds includes the CBSE Coding Skill Subject for students in Classes 6 to 8
and the CBSE Artificial Intelligence Skill Subject specifically for Class 8. This alignment ensures that students not only engage
with the program as an extracurricular learning experience but also fulfil their curriculum requirements.
5. What is the structure of lab activities in the program?
The program emphasizes practical learning, with a significant number of lab activities. For students in Class 1 and 2, there
are 18 lab activities. This number increases to 25 for students from Class 3 to 8. These activities are designed to reinforce
theoretical knowledge with hands-on experience, encouraging students to apply what they have learned in a practical,
engaging environment.
6. How many sessions are included in the program for each class?
The program is comprehensive, with a total of 36 sessions for Class 1 and 2 students and 50 sessions for those in Class 3 to
8. Each session is carefully planned, splitting equally between classroom learning and lab activities to ensure a balanced
educational experience.

7. What resources are provided for teachers in the Skillful Minds Program?
Teachers are equipped with extensive resources, including a detailed yearlong session-wise lesson plan, which guides them
on how to effectively execute the program. Additionally, lecture slides are provided for every classroom learning and lab
activity session, ensuring that teachers have the necessary tools and information to deliver the curriculum effectively.
8. Is there a capstone project in the Skillful Minds Program?
Yes, the program includes a capstone project, offering students an opportunity to work on open-ended projects. These
projects are submitted in the Codeavour International Competition, providing a platform for students to showcase their
creativity, problem-solving skills, and technological expertise.
9. What are PictoBlox Credits, and how many are provided to each student?
PictoBlox Credits are a unique feature of the program, acting as a currency within the PictoBlox software used for AI
modules. Each student enrolled in the program receives 3000 PictoBlox credits, which can be used to access various
features and tools within the software, enhancing their learning experience.
10. What certifications are available through the Skillful Minds Program?
Upon completing specific lab activities, students can earn digital certificates accredited by esteemed organisations like
STEMpedia, STEM.org, and ARTPARK. These certifications recognise the students’ achievements and mastery of the skills
learned throughout the program.
11. How does the program integrate practical learning?
Skillful Minds is heavily focused on practical, experiential learning. It achieves this through an extensive array of lab
activities that encourage students to apply theoretical concepts in real-world scenarios. This practical approach is crucial
for deepening understanding and fostering a hands-on experience in technology and computer science.
12. Are there any competitions associated with the Skillful Minds Program?
Yes, the program offers access to the Codeavour competition, a significant platform for students to apply and test their
learning in a competitive and stimulating environment. This exposure not only enhances their learning experience but also
fosters a spirit of innovation and competitiveness.
13. What support is available for students and teachers in the program?
The Skillful Minds Program provides robust support for both students and teachers. Teachers receive detailed lesson plans
and educational resources, while students are provided with engaging and interactive learning materials, access to
technology tools, and opportunities to participate in competitions.
14. What is the role of PictoBlox and Quarky in Enhancing Practical Learning?
PictoBlox plays a pivotal role in demystifying Artificial Intelligence (AI) for students, serving as an accessible and engaging
platform. It stands out for its user-friendly interface, making Python programming and AI concepts approachable for
learners of various ages. Here’s how PictoBlox enhances practical learning:
1. Intuitive Learning Approach: PictoBlox simplifies the complexities of AI. It introduces students to Python, a language at
the forefront of AI development, in an easy-to-understand manner. This approach helps bridge the gap between abstract
AI concepts and their real-world applications.
2. Interactive AI Activities: The platform offers a range of interactive activities, from image classification and object
detection to natural language processing. These activities not only engage students but also provide a hands-on
experience with the practical aspects of AI, enhancing their understanding and retention.
3. Accessible AI Concepts: By breaking down AI into manageable components, PictoBlox makes learning AI accessible to a
younger audience. It allows students to grasp fundamental AI principles and apply them in creative ways, fostering an
early interest in this advanced field.

4. Enjoyable Learning Experience: PictoBlox turns learning into a fun and interactive experience. Its engaging activities
captivate students’ attention, making the learning process enjoyable and less daunting, especially for complex topics like
AI.
Quarky is a robotic tool that provides an invaluable hands-on experience in the world of robotics. It’s an excellent
educational resource, offering practical insights into robotics. The key aspects of Quarky in enhancing practical learning
include:
5. Exploration of Robotic Movements: Quarky allows students to delve into the mechanics of robotic movements. By
programming and observing Quarky in action, students get a firsthand understanding of how robots move and operate,
translating theoretical knowledge into practical skills.
6. Sensor Usage and Applications: Quarky is equipped with various sensors, giving students the opportunity to learn about
sensor technology and its applications in robotics. This hands-on experience is crucial in understanding how robots
interact with their environment.
7. Control Systems Learning: Through Quarky, students explore the different control systems used in robotics. They learn
how to program and control a robot, gaining insights into the critical aspects of robotic navigation and manipulation.
8. Practical Understanding of Robotics: By working with Quarky, students move beyond the theoretical aspects of robotics.
They engage in practical activities, from building and programming to testing their robotic creations, which solidifies their
understanding and sparks their interest in the field.

Skillful Minds - Class 1
Feature Description
Number of Pages 66
Number of Chapters 6
Number of Activities 18
Sessions Required to Complete Course Total 36 – (18 Lab Activities, 18 Classroom Learnings )
Software and Hardware Used MS Paint, PictoBlox Jr, Quarky
Technologies Covered Computers, Coding, Artificial Intelligence and Robotics
Resources Available for Teachers
Lesson Plan, and Lecture Slides (Containing Textual, Images, and Video
based Content)
Certification
Yes. Need to submit 5 lab activities online to get digital certificate accredited
by STEMpedia, STEM.org and ARTPARK.
Table of Contents – Skillful Minds (Class 1)
Chapter 1: Know Your Computer 1
What is a Machine?
Parts of a Computer
Use of a Computer
Typing with Keyboard
Rules to Follow in Computer Lab
Start the Computer
Shut Down the Computer
Lab Activity 1 – Parts of the Computer
Lab Activity 2 – Typing with Keyboard
Lab Activity 3 – Playing with Mouse
Chapter 2: Fun with Paint 18
What is MS Paint?
Parts of MS Paint
Designer Tools of MS Paint
Basic Shape Tools
Lab Activity 4 – Draw a Truck
Lab Activity 5 – Draw a Christmas Tree
Lab Activity 6 – Draw the Indian Flag
Lab Activity 7 – Draw a Traffic Signal
Chapter 3: Algorithmic Thinking 26
Instructions
Sequence
Algorithm
Pattern and Loop
Decision Making
Chapter 4: Into the World of Coding 35
Introduction to PictoBlox Jr
Key Terms of Coding
Exploring Important Blocks
Lab Activity 8 – Look at My Aquarium
Lab Activity 9 – My First Code
Lab Activity 10 – Moving Sprite Around
Lab Activity 11 – About Me
Lab Activity 12 – Twinkling Star
Lab Activity 13 – Ballerina Dance
Chapter 5: Into the Robotics 51
What is a Robot?
Use of Robots in 21st
Century
Introduction to Quarky
Exploring Quarky Features
Lab Activity 14 – Quarky Emotions
Lab Activity 15 – Quarky Name Badge
Lab Activity 16 – Touch Movement with Quarky
Lab Activity 17 – Controlling Sprite using Quarky Button
Chapter 6: Into the AI 60
What is Intelligence
Explore Face Detection
Lab Activity 18 – Clown Maker

Skillful Minds - Class 2
Feature Description
Number of Pages 68
Software and Hardware Used Tux Paint, PictoBlox Jr, Quarky
based Content)
Certification
Yes. Need to submit 5 lab activities online to get digital certificate accredited
by STEMpedia, STEM.org and ARTPARK.
What is a Computer
Parts of a Computer
Human vs Computer
Type of Computers
Input – Process - Output
Use of a Computer
Start and Shut Down Computer
Keyboard and Mouse
Lab Activity 1 – Parts of the Computer
Lab Activity 2 – Typing with Keyboard
Lab Activity 3 – Playing with Mouse
What is TUX Paint?
Parts of TUX Paint
Designer Tools of TUX Paint
Lab Activity 4 – Colouring Aeroplane
Lab Activity 5 – Colouring Tractor
Lab Activity 6 – Draw a Scenery
Lab Activity 7 – Draw a House
Chapter 3: Critical Thinking and Analysis 27
Decision Making
Patterns and Loops
Decoding
Sequence
Chapter 4: Into the World of Coding 34
Stepwise Thinking and Algorithms
Introduction to PictoBlox Jr
Key Terms of Coding
Exploring Important Blocks
Lab Activity 8 – My First Code
Lab Activity 9 – Creating a Story
Lab Activity 10 – Moving Sprite Around
Lab Activity 11 – Dancing Fishes
Lab Activity 12 – Controlling Tobi’s Height
Lab Activity 13 – Ballerina Dance
Chapter 5: Into the Robotics 52
What is a Robot?
Use of Robots in 21st
Century
Exploring Quarky Features
Lab Activity 14 – Quarky Traffic Light
Lab Activity 15 & 16 – Quarky Robot Moves
Chapter 6: Into the AI 60
What is Intelligence
Explore Face Detection
Explore Hand Detection
Lab Activity 17 – Face Filter
Lab Activity 18 – Balloon Popping with Hand

Skillful Minds – Class 3
Feature Description
Number of Pages 112
Windows 10, Notepad, WordPad, MS Paint, Tux Paint, MS Word, MS Excel,
PictoBlox, Quarky
based Content)
Certification
Yes. Need to submit 10 lab activities online to get digital certificate
accredited by STEMpedia, STEM.org and ARTPARK.
Chapter wise Learning Outcome
1. Know Your Computer: Acquire foundational knowledge of computer components, Windows GUI, and basic applications
like Notepad and WordPad.
2. Fun with Paint: Master the interfaces and tools of MS Paint and Tux Paint, focusing on design and basic graphic
manipulation.
3. Introduction to Algorithm and Coding: Develop a foundational understanding of algorithmic thinking, programming
basics, and hands-on coding using PictoBlox.
4. Introduction to MS Word: Familiarise with the MS Word 2016 interface, font manipulation, and essential document
management techniques.
5. Introduction to MS Excel: Understand the basics of MS Excel 2016, including cell management and auto drag features.
6. Sketch with PictoBlox: Dive into digital sketching using PictoBlox Pen Extension and create basic shapes and patterns.
7. Fun with Robotics: Explore the functionalities and applications of the Quarky Robot in the modern technological
landscape.
8. Game Development: Understand the fundamentals of game development using PictoBlox and the role of variables in
games.
9. Learn About AI: Grasp the basics of Artificial Intelligence, its applications, and delve into face detection techniques.
Capstone Project: Apply the accumulated skills in a comprehensive project, showcasing proficiency in computer science,
coding, AI, and robotics.

IPO Cycle
Types of Computers
Hardware and Software
Function of Keyboard and Mouse
Introduction to Windows GUI
File Management in Windows
Notepad and WordPad App
Lab Activity 1 - Playing with Windows GUI
Lab Activity 2 - Type about Myself in Notepad
Lab Activity 3 - About My School in WordPad
User Interface of MS Paint
Brush Size and Style
Copy and Paste in MS Paint
Getting Started with Tux Paint
Parts of the Tux Paint Application
Tools in Tux Paint
Lab Activity 4 - My Snowman - MS Paint
Lab Activity 5 - My Nature Scenery - MS Paint
Lab Activity 6 - Colour My Hen - Tux Paint
Chapter 3: Introduction to Algorithm and Coding 32
Stepwise Thinking
Sequence and Decomposition
Algorithmic Thinking
Introduction to Programming
Decision-Making and Loops in Coding
Introduction to PictoBlox
Sprite and Stage in PictoBlox
Block Palette in PictoBlox
How can Sprite Communicate?
Lab Activity 7 - Tobi Walking
Lab Activity 8 - Look at My Jungle
Lab Activity 9 - Creating Animation - Flying Cat
Lab Activity 10 - Barking Dog
Lab Activity 11 - Story Making - Once Upon a Time
Chapter 4: Introduction to MS Word 55
Interface of MS Word 2016
Font Manipulation in MS Word
Bullets and Numbering
Save and Print in MS Word
Shortcuts in MS Word
Lab Activity 12 - My Favourite Cartoon Character - MS
Word
Lab Activity 13 - Exploring MS Word
Chapter 5: Introduction to MS Excel 66
Interface of MS Excel 2016
Cell, Rows, and Columns
Auto Drag in MS Excel
Lab Activity 14 - My Class List in MS Excel
Chapter 6: Sketch with PictoBlox 73
Introduction to Pen Extension
Pen Extension Blocks
How to Sketch in PictoBlox?
Lab Activity 15 - Creating Basic Shapes
Lab Activity 16 - Making Patterns
Chapter 7: Fun with Robotics 79
Robots and their use in the 21st
Century
Introduction to Quarky Robot
Quarky RGB LED Display
Quarky Touch Sensor & Quarky Buttons
Quarky Robot Control
Lab Activity 17 – Quarky Emotions
Lab Activity 18 – Beating Heart Animation on Quarky
Lab Activity 19 – Touch Piano with Quarky
Lab Activity 20 – Controlling Sprite with Quarky Switches
Lab Activity 21 – Wirelessly Controlled Quarky Robot
Chapter 8: Game Development 91
What is Game Development?
PictoBlox as Game Development Software
Variables in Games
Lab Activity 22 – Fruit Game
Lab Activity 23 – Fruit Catching Game
Chapter 9: Learn About AI 100
What is Artificial Intelligence?
Application and Advantages of AI
Face Detection Technique in AI
Lab Activity 24 - Face Expression Detector
Lab Activity 25 - Face Filter
Capstone Project 108
Sample Projects Built by Community 109
Answer Key 110

Feature Description
Number of Pages 127
Windows 10, MS Paint, Tux Paint, MS Word, MS Excel, PictoBlox Block
Coding, PictoBlox AI, Quarky
based Content)
Certification
1. Know Your Computer: Understand the evolution, classifications, memory aspects, and basic operations of computers
using Windows 10.
2. Fun with Paint: Master graphic tools and techniques in MS Paint and Tux Paint, focusing on image editing and design.
3. Basics of Coding and Algorithm: Grasp foundational concepts of algorithms, programming in PictoBlox, decision-making,
loops, variables, and debugging.
4. Introduction to MS Word: Familiarise with the MS Word interface, text formatting, and creative tools like Thesaurus and
WordArt.
5. Introduction to MS Excel: Dive into MS Excel's interface, formula application, chart creation, and data sorting techniques.
6. Sketch with PictoBlox: Explore digital sketching using PictoBlox Pen Extension and create interactive drawings.
7. Fun with Robotics: Understand the concept, presence, advantages, and functionalities of robots, with a focus on the
Quarky robot.
8. Fun with AI: Delve into the realm of Artificial Intelligence, exploring AI robots and human body detection techniques.
9. Stepping into the World of Game Design: Understand the fundamentals of game design, rules, level-ups, and the role of
variables in game development.
Capstone Project: Apply the accumulated skills in a comprehensive project, showcasing proficiency in computer science,
coding, AI, and robotics.

History of Computers
Classification of Computers by Size
Classification of Computers by Working
Computer Memory
Working with Windows 10
Lab Activity 1 - Playing with Windows GUI
Lab Activity 2 - Manage My Folder
Working with MS Paint
Editing Shapes in MS Paint
Importing Image in MS Paint
Getting Started with Tux Paint
Important Tools in Tux Paint
Lab Activity 3 - Painting A Story in MS Paint
Lab Activity 4 - Animal Collage in Paint
Lab Activity 5 - My School Bus – TUX Paint
Chapter 3: Basics of Coding and Algorithm 36
What is an Algorithm?
Introduction to Programming and PictoBlox
Palette Explanation in PictoBlox – Events, Motion,
Sensing, and Looks
Decision Making
Loops
Introduction to Variables
Operators in Programming
Introduction to Debugging
Lab Activity 6 - Bringing Tobi to Life with Animation
Lab Activity 7 - Working with Conditions
Lab Activity 8 - Reciting Tables with Loops
Lab Activity 9 - Addition Bot
Chapter 4: Introduction to MS Word 54
Interface of MS Word
Text Formatting Options in MS Word
Thesaurus in MS Word
WordArt in MS Word
Lab Activity 10 - Practicing Word with Monkeys
Interface of MS Excel
Formulas in Excel
Charts in Excel
Sorting in Excel
Lab Activity 11 - Clothes Shopping & Budgeting with Excel
Lab Activity 12 - My Class Marksheet with Excel
Chapter 6: Sketch with PictoBlox 75
Introduction to Pen Extension
Pen Extension Blocks
How to Sketch in PictoBlox?
Lab Activity 13 - Drawing a Star in PictoBlox
Lab Activity 14 & 15 - Creating a Paint App in PictoBlox
What is a Robot?
Robots Around Us
Advantages of Robots
Tactile Switch in Quarky
Quarky RGB LED Display and RGB Mixing
Lab Activity 16 - Traffic Light with Quarky
Lab Activity 17 - Digital Dice with Quarky
Lab Activity 18 - Fun with Music – Dance Party
Lab Activity 19 - Principles of Colour and Light Mixing
Lab Activity 20 - LED Looping Pattern with Quarky
Chapter 8: Fun with AI 101
AI Robots Around Us
Human Body Detection – Pose and Hand Detection
Lab Activity 21 - Finger Tracing with AI
Lab Activity 22 - Clown Maker with Human Detection
Chapter 9: Stepping into the World of Game Design
111
Introduction to Game Design
Rules While Designing a Game
Introduction to Level Up Games
Variables and Their Types
Lab Activity 23 - Beetle in the Maze
Lab Activity 24 & 25 - Coin Collector Game
Answer Key 126

Feature Description
Number of Pages 128
Windows 10, Calculator, MS Paint, WordPad, MS Word, MS PowerPoint,
PictoBlox Block Coding, PictoBlox AI, Quarky
based Content)
Certification
1. Know Your Computer: Delve into the intricacies of the CPU, its evolution, and the foundational aspects of the Windows
10 operating system, including its tools and common programs.
2. Coding & Algorithmic Thinking: Understand the essence of algorithms, flowcharts, and the basics of coding using
PictoBlox, exploring its various features and functionalities.
3. Explore More in MS Word: Master advanced features of MS Word, including table creation, text management, and
document formatting tools.
4. Introduction to PowerPoint: Grasp the fundamentals of creating presentations using PowerPoint, from theme selection
to slide editing and presentation.
5. Fun with Robotics: Dive into the world of robotics, understanding the movement, functionalities, and various
components of the Quarky robot.
6. The World of AI: Explore the realm of Artificial Intelligence, its techniques, and its applications in various sectors,
including road safety and weather monitoring.
7. Exploring the Internet: Understand the basics of the internet, web terminologies, communication tools, and the concept
of email.
Capstone Project: Apply the accumulated knowledge and skills in a comprehensive project, showcasing proficiency in all
the areas covered in the chapters.

All About CPU
CPU Clock Rate Formula
Evolution of Computers
Introduction to Operating System
Desktop View of Windows 10
Pinning Program to Taskbar
Common Programs in Windows 10
Basics of Snipping Tool and Character Map
Lab Activity 1 - Working with Calculator in Windows
Lab Activity 2 - Working with MS Paint and WordPad
Chapter 2: Coding & Algorithmic Thinking 21
Understanding Flowchart and Symbols
Exploring Algorithmic Thinking
Understanding Decomposition
Introduction to Coding
Costume Editor in PictoBlox
Block Palettes in PictoBlox
Coordinate System of Stage
Cloning in PictoBlox
Reading QR Code with PictoBlox
Effects in Looks Palette
Lab Activity 3 - Animating Tobi's Walk in PictoBlox
Lab Activity 4 - Taco Chase: Evading the Beetle
Lab Activity 5- Colourful Tobi Tracing with PictoBlox
Lab Activity 6 - Star Scribbler
Lab Activity 7 - Space Battle Game – Part 1
Lab Activity 9 - QR Code-Based Shopping Cart
Lab Activity 10 - QR Code Book Scanner
Chapter 3: Explore More in MS Word 51
Tables and Tools Used in MS Word
Correcting Spelling and Grammar
Find and Replace Text
Header and Footer
Watermark in MS Word
Drop Cap in MS Word
Lab Activity 11 - Creating and Managing Tables in MS
Word
Lab Activity 12 - Formatting Documents in MS Word
Chapter 4: Introduction to PowerPoint 65
What is PowerPoint and its Interface
Choosing a Theme
Adding and Editing Slides
Inserting Pictures and Text
Saving and Presenting the Slides
Lab Activity 13 & 14 - MS PowerPoint Presentation
Introduction to Robotics and Quarky
How a Robot Moves?
Quarky Gripper Robot
Servo Motor Control with Quarky
Making a Robot Pet
Understanding IR Sensors
Lab Activity 15 - Wirelessly Controlled Quarky Robot
Lab Activity 16 - Gripper Robot Controls
Lab Activity 17 - Coding the Robot Pet
Lab Activity 18 & 19 - LED Chase Game with Quarky
Lab Activity 20 - Bright Lamp with Quarky
Chapter 6: The World of AI 97
Speech Recognition AI Technique
Text to Speech with PictoBlox
AI for Road Safety
Types of Road Signs in India
Recognition Card for PictoBlox
Self-Driving Car
Weather Monitoring System
Lab Activity 21 - Smart Lamp with Speech Recognition
Lab Activity 22 - Detecting Signs & Landmarks with
PictoBlox
Lab Activity 23 - Self-Driving Car
Lab Activity 24 - Weather Monitoring System
Chapter 7: Exploring the Internet 116
Understanding the Internet
Understanding Web Terminologies
Communication Tools
Introduction to Email
Lab Activity 25 - Writing an Email to a Friend
Answer Key 127

Feature Description
Number of Pages 161
CBSE Skill Subject Covered Class 6 Coding Skill Subject (Chapter 2 - 7)
Windows 10, Windows Media Player, MS Word, MS PowerPoint, PictoBlox
Block Coding, PictoBlox AI, Quarky
based Content)
Certification
1. Basics of ICT: Understand the evolution, structure, and functionalities of computer systems, including data
representation and file management in Windows.
2. Introduction to Coding: Grasp the concept of coding, its applications, and familiarise with the PictoBlox interface and
block palettes.
3. Algorithms with Block Coding: Learn the essence of algorithms, flowcharts, and the significance of pseudocode.
4. Variable using Block Coding: Dive into the world of variables, understanding their naming conventions, types, and
operations in PictoBlox.
5. Control with Conditions: Explore conditional programming, understanding relational and logical operators, and nested
conditional statements.
6. Loops using Block Coding: Delve into the concept of loops, their types, criteria, and special statements like break and
continue.
7. Game Dev with Block Coding: Understand the basics of game development, its rules, and essential design elements.
8. Basics of MS Word: Master the interface and foundational tools of MS Word, including text formatting and mail merge.
9. Basics of Microsoft PowerPoint: Grasp the fundamentals of creating presentations using PowerPoint, from slide design
to presentation.
10. Introduction to Robotics: Dive into the world of robotics, understanding types, applications, and functionalities of robots,
sensors, and actuators.
11. Fun with AI: Explore the realm of Artificial Intelligence, its comparison with human intelligence, current trends, and
applications like face detection.
12. Internet and Computer Networking: Understand the basics of the internet, computer networks, their types, and the
concept of the Internet of Things.

Capstone Project: Apply the accumulated knowledge and skills in a comprehensive project, showcasing proficiency in all the
areas covered in the chapters.
Chapter 1: Basics of ICT 1
The Computer System
Generation of Computers
Computer Programming Languages
Translators and their Types
Some Interesting Discoveries
Working With Windows
File Management to Organize Data
Media Player in Windows
Data Representation and Number System
Conversion from Decimal to Binary Number
Conversion from Binary to Decimal Number
Lab Activity 1 - Practice Search & File Management in
Windows 10
Lab Activity 2 - Practice Data Transfer in Windows
Lab Activity 3 - Practice Media Player in Windows
Chapter 2: Introduction to Coding 23
How do Traffic Lights work?
What is Coding?
Application of Coding
Programming Language
Introduction to PictoBlox and its Interface
Block Palettes in PictoBlox
Lab Activity 4 - Tobi Walking Animation
Chapter 3: Algorithms with Block Coding 32
Flowchart and its Symbols
Pseudocode and its Benefits
Chapter 4: Variable using Block Coding 38
What are Variables?
Naming Rules for Variables
Data Types in Variables
Variables in PictoBlox
Performing Operations on Variables
Arithmetic Operators
Assignment Operators
Increment Decrement Operators
Lab Activity 5 - Tracking Sprite using Variables
Lab Activity 6 - Addition Bot
Lab Activity 7 - Playing with Quarky
Lab Activity 8 - Traffic Light with Quarky
Chapter 5: Control with Conditions 52
Conditional Programming
Relational Operators
Logical Operators - AND, OR, and NOT
Combining Logical Operators
Nested Conditional Statements
Lab Activity 9 - Logical Operators with Quarky
Chapter 6: Loops using Block Coding 64
What are Loops?
Increment Loops
Types of Loops - While, For, Nested Loop
Entry Criteria
Exit Criteria
Break Statement
Continue Statement
Lab Activity 10 - Counter with Quarky
Lab Activity 11 - Nested Statement with Quarky
Chapter 7: Game Dev with Block Coding 76
Introduction to Game Development
Basic Game Development Rules
Important Elements of Game Design
Chapter 8: Basics of MS Word 85
Interface of MS Word
Formatting Text Tools
The table in Microsoft Word
Mail Merge in Word
Lab Activity 14 - Practice MS Word - Working with
Tables
Lab Activity 15 - Practice Mail Merge with MS Word
Chapter 9: Basics of Microsoft PowerPoint 99
Interface of MS PowerPoint
Slide Design and Layouts
Adding Text, Images, and Shapes to Slides

Presenting Your Slideshow
Lab Activity 16 - Practice MS PowerPoint - Present
Yourself
Chapter 10: Introduction to Robotics 109
Types of Robots
Advantages and Application of Robots
Introduction to Sensors
Introduction to Actuators
Obstacle Avoidance Robot
Lab Activity 17 - Discovering Robot Controls
Lab Activity 18 - Wirelessly Controlled Robot
Lab Activity 19 - Controlling Servo Motor
Lab Activity 20 - Obstacle Avoidance Robot
Chapter 11: Fun with AI 130
Human and Animal Intelligence
Introduction to Artificial Intelligence
Current Trends of AI
AI vs. Human Intelligence
Face Detection Technique
Generative AI: ChatGPT
Lab Activity 21 - Face Detection with PictoBlox
Lab Activity 22 & 23 - Creating a Face Filter App
Lab Activity 24 - Transform Word in Colourful Emojis
Chapter 12: Internet and Computer Networking 147
Internet and Web Browsing
Computer Networks
Types of Computer Networks
Internet of Things
Lab Activity 25 - Weather Monitoring System
Answer Key 159

Feature Description
Number of Pages 164
CBSE Skill Subject Covered Class 7 Coding Skill Subject (Chapter 2 - 5)
Windows 10, PicsArt App, MS Excel, MS PowerPoint, PictoBlox Block Coding,
PictoBlox AI, Quarky
based Content)
Certification
1. Basics of ICT: Delve into the foundational concepts of ICT, exploring computer types, generations, data representation,
number systems, and basic Windows functionalities.
2. Coding & Variables in Real Life: Revisit coding basics, understand the role of variables in programming, and explore
arithmetic operations and user input validation.
3. Sequencing with Block Coding: Dive deeper into programming elements, understand the importance of sequencing,
loops, and conditional statements, and learn about debugging.
4. Fun with Functions: Explore the concept of functions in programming, understand their significance in reducing
redundancy, and learn about events and event handlers.
5. Collections and Arrays: Understand data collections, delve into the world of arrays, and explore algorithms, iteration,
and sorting techniques.
6. Introduction to MS Excel: Master the foundational tools and functionalities of MS Excel, from data sorting and filtering
to chart creation and printing.
7. Explore More in PowerPoint: Revisit MS PowerPoint, understand slide designs, themes, content insertion, and
presentation techniques for effective communication.
8. Fun with AI: Dive deeper into the realm of Artificial Intelligence, exploring various AI techniques like face detection,
computer vision, speech recognition, and natural language processing.
9. Mastering Robotics: Understand the world of robotics, its advantages, applications, and delve into specific robotic
functionalities like line following and self-driving capabilities.
10. Introduction to HTML: Explore the foundational concepts of HTML, understand tags, attributes, document structures,
and learn to create basic web pages.
Capstone Project: Apply the accumulated knowledge and skills in a comprehensive project, showcasing proficiency in all
the areas covered in the chapters.

Type of Computers
Parts of Computer
Generations of Computers
Windows Operating System
Basics of File Management
Data Representation and Number Systems
Conversion of Numbers in Number Systems
1's Complement & 2's Complement
Binary Addition & Binary Subtraction
PicsArt Application
Lab Activity 1 - Practice Files and Folders
Lab Activity 2 - Digital Collage with PicsArt
Chapter 2: Coding & Variables in Real Life 29
Recap of Coding
Introduction to PictoBlox
Variables
Arithmetic Operators
Expressions in Programming
Validating User Input in Programming
Lab Activity 3 - Tobi Walking Animation
Lab Activity 4 - Beetle in the Maze
Lab Activity 5 - Drawing Patterns with Variables
Lab Activity 6 - Playing with Quarky
Chapter 3: Sequencing with Block Coding 46
Recap of Loops
Elements of Programming – Sequencing, Selection,
and Iteration
What is a Bug?
Types of Loops - While Loop, For Loop, and Nested
Loop
Introduction to Conditional Statements
Distributing Birthday Sweets
Lab Activity 7 - Reciting Table
Lab Activity 8 - Reflex Game with Quarky
Chapter 4: Fun with Functions 57
What Exactly are Functions?
How to Reduce Redundancy using Functions?
Parameters in Functions
Functions in PictoBlox
Can the Function Return a Value?
Arranging the Books
What is an Event and Event Handler?
Lab Activity 9 - Properties of a Circle
Chapter 5: Collections and Arrays 68
What is a Collection?
Collections in PictoBlox
Algorithm for a Perfect Square
What are Arrays?
Array In Python and Block Coding
Iteration Over the Collection
Types of Collections
Low-Level vs. High-Level Programming Language
Sorting List using Array
Lab Activity 10 - Building a Zoo
Lab Activity 11 - Fun with Array
Lab Activity 12 - Perfect Squares
Lab Activity 13 - Sorting a List
Sorting Data in Excel
Filter Data in Excel & Advanced Filtering
Introduction of Chart
Creating a Chart
Printing a Worksheet
Lab Activity 14 - Excel Practical Exercise: Sales Data
Analysis
Lab Activity 15 - Mastering Excel Charts
Chapter 7: Explore More in PowerPoint 102
Recap of MS PowerPoint
Slides and How They Look
Theme in Presentation
Inserting Content in PowerPoint
Saving Presentation
Different Ways to Look into Slides
Presenting Slides & Tips for an Effective
Presentation
Lab Activity 16 - PowerPoint: My Dream Vacation
Face Detection with PictoBlox
AI Technique - Computer Vision
Object Detection in PictoBlox Lab Activity 21 - Wirelessly Controlled Robot

AI Technique - Speech Recognition
Speech Recognition in PictoBlox
AI Technique - Natural Language Processing
NLP with PictoBlox ML Environment
Ethics in AI
Lab Activity 17 - Face Expression Recognizer
Lab Activity 18 - Object Detection with Computer Vision
Lab Activity 19 - Making Alexa with Speech Recognition
Lab Activity 20 - Text Classifier with NLP
Chapter 9: Mastering Robotics 130
Introduction to Robotics Advantages and
Application of Robots
Quarky Robot
Line Following Robots
Self-Driving Car
AI Delivery Robot
Lab Activity 22 - Line Following Robot
Lab Activity 23 - Self-Driving Car
Chapter 10: Introduction to HTML 147
HTML Tags and Attributes
Rules for Tags
HTML Document Structure
Titles and Footers
HTML Styles
HTML Images
Creating and Saving Document
Lab Activity 24 & 25 - HTML Basic - A Space Exploration
Journey
Answer Key 162

Feature Description
Number of Pages 164
CBSE Skill Subject Covered
Class 8 Coding Skill Subject (Chapter 2 - 6)
Class 8 Artificial Intelligence Skill Subject (Chapter 9)
Windows 10, Canva App, MS Excel, PictoBlox Block Coding, PictoBlox Python
Coding, PictoBlox Machine Learning, PictoBlox AI, Quarky
based Content)
Certification
1. Basics of ICT: Embark on the journey of ICT, tracing the evolution from early computing devices to modern computer
networks, and explore the creative potential of the Canva application.
2. Basics of Python Programming: Dive into the world of Python programming, understand its syntax, basic operations, and
interact with the PictoBlox Python interface.
3. Conditions in Details: Master the art of control statements, delve into conditional statements, and understand the
intricacies of logical and relational operators.
4. Get Creative with Loops: Explore the repetitive world of loops, understand their types, and learn how to sequence them
with conditions for efficient programming.
5. Functions in Depth: Delve deeper into the realm of functions, understand their parameters, and explore their
implementation in both block coding and Python.
6. Understanding Arrays: Navigate the structured world of arrays, understand their implementation in Python, and learn
sorting techniques like bubble sort.
7. Mastering MS Excel: Become proficient with MS Excel, mastering its interface, formatting tools, formula application, and
error handling techniques.
8. Basics of Data Science in MS Excel: Step into the world of data science, understand the significance of data, its types,
and explore data visualization techniques in Excel.
9. Artificial Intelligence and Machine Learning: Revisit the transformative world of AI, understand its contributions, explore
the AI project cycle, delve into machine learning, and master various ML models in PictoBlox.
10. Introduction to Robotics and Emerging Technologies: Explore the futuristic realm of robotics, understand the
advantages of robots, and delve into emerging technologies like augmented reality, virtual reality, mixed reality, and
blockchain.

Capstone Project: Crown the learning journey by applying the accumulated knowledge and skills in a comprehensive
project, showcasing proficiency in all the areas covered in the chapters.
Early Computing Devices
The Computer Revolution
Computer Ports
Computer Software
Computer Network
Types of Computer Network
Canva Application
Lab Activity 1 - Designing with Canva
Chapter 2: Basics of Python Programming 26
Getting Started with Python
PictoBlox Python Interface
Basic Python Syntax – Indentation, Comments,
Variables, Data Type
Basic Operations in Python
Taking Inputs with Sprite
Lab Activity 2 - First Python Code
Lab Activity 3 - Addition Bot with Python
Chapter 3: Conditions in Details 36
Type of Control Statements – Sequencing,
Selection, and Iteration
Understanding If-Else, Else-If Statements
Logical Operators
Precedence of Logical Operators
Relational Operators
Nested Conditional Statement
Lab Activity 4 - Odd or Even
Lab Activity 5 - Logical Operators with Quarky
Lab Activity 6 - Is it a Triangle?
Lab Activity 7 - The Remainder Problem
Chapter 4: Get Creative with Loops 55
What are Loops?
While Loop
For Loop
Nested Loop
Exit Criteria
Sequencing with Loops and Conditions
Lab Activity 8 - Loops in Python
Lab Activity 9 - Make Animals Rain with Loops
Chapter 5: Functions in Depth 66
Understanding Functions
Function Parameters
Function in Block Coding
Function in Python
Can Function Return a Value?
Lab Activity 10 - Exploring Functions in Python
Lab Activity 11 - Loan Interest Calculator
Chapter 6: Understanding Arrays 75
What are Arrays?
Array in Python
Sorting an Array
Searching in an Array
Bubble Sort Technique
Array in Block Coding
Lab Activity 12 - Array (List) in Python
Lab Activity 13 - Bubble Sort in Python
Chapter 7: Mastering MS Excel 85
Formatting in Excel – Font, Text, Number, Cell, and
Conditional Formatting
Formula In Excel
Error Handling in Formulas
Pivot Table in Excel
Lab Activity 14 - Excel Practical Exercise: Sales Data
Analysis
Lab Activity 15 - Mastering Excel Formulas
Chapter 8: Basics of Data Science in MS Excel 101
What is Data?
Data Type
Data Science and its Application
What does Data Science help us achieve?
Data Visualization
Data Visualization in Excel with Charts
Lab Activity 16 - Data Science Exploration in Excel
Lab Activity 17 - Data Visualisation in Excel

Chapter 9: Artificial Intelligence and Machine
Learning 115
Recap of Artificial Intelligence
How AI Contributes to National Development and
Building
Sustainable Development Goals
AI Project Cycle
Risks and Barriers to Artificial Intelligence
Machine Learning
Types of Machine Learning
Model Types in Machine Learning
Machine Learning in PictoBlox – Image, Pose, Hand
Pose, Object Detection, Text, Audio and Numbers
ML Models
Neural Network
Natural Language Processing
Lab Activity 18 - Mask Detection with Image Classifier
(ML)
Lab Activity 19 - Making Alexa with Speech Recognition
Lab Activity 20 & 21 - Gesture-Controlled Beetle in the
Maze Game
Lab Activity 22 - Yoga Pose Detector with Pose Classifier
Lab Activity 23 - Text Classifier with NLP
Chapter 10: Introduction to Robotics and Emerging
Technologies 149
Advantages of Robots
Quarky Robot Movement
Augmented Reality
Virtual Reality
Mixed Reality
Blockchain Technology
Lab Activity 24 - Wirelessly Controlled Robot
Lab Activity 25 - Gesture Controlled Robot
Answer Key 163

2. Artificial Intelligence Books for Class 9-10 (Subject Code 417)
Total Marks: 100 (Theory – 50 + Practical 50)
Couse Overview
Learning AI in Class 9 and 10 equips students with foundational knowledge, enhances problem-solving skills, and prepares
them for a technologically advanced future.
Here are some reasons why Class 9 students should learn AI:
1. Foundation for Future Learning: At Class 9 level, students are at a crucial stage where they begin to explore and decide
on potential career paths. Introducing them to AI can provide a strong foundation for future learning in this domain.
2. Problem Solving Skills: AI encourages logical thinking and problem-solving. By understanding how algorithms work and
how machines learn, students can enhance their analytical skills.
3. Relevance in Today's World: AI is becoming increasingly prevalent in our daily lives, from voice assistants to
recommendation systems. Having a basic understanding of AI can help students navigate the modern world more
effectively.
4. Career Opportunities: The field of AI offers numerous career opportunities. Early exposure can give students a
competitive edge when they decide to pursue higher studies or careers in this domain.
5. Interdisciplinary Learning: AI is not just about coding. It encompasses various disciplines such as mathematics,
neuroscience, linguistics, and even philosophy. This interdisciplinary nature can cater to a wide range of interests.
6. Creativity and Innovation: AI provides tools and platforms where students can create their own projects, be it a simple
chatbot or a game. This fosters creativity and innovation.
7. Ethical Considerations: Learning about AI also means understanding its ethical implications. It's essential for the
younger generation to be aware of the potential challenges and responsibilities associated with AI.
8. Global Competitiveness: Many countries are integrating AI education into their curriculums. For students to be globally
competitive, it's vital they are introduced to this technology early on.
9. Enhanced Engagement: AI can make learning more interactive and engaging. For instance, AI-driven educational tools
can offer personalised learning experiences for students.
10. Preparation for the Future: As AI continues to evolve and integrate into various sectors, having a foundational
knowledge will prepare students for a world where AI will be even more prominent.
Objectives of the Course
The aim of this combined Inspire and Acquire module/curriculum is to cultivate a preparedness for grasping and valuing
Artificial Intelligence and its role in our daily lives. Specifically, this module/curriculum endeavours to:
1. Equip learners with a comprehensive understanding of the realm of Artificial Intelligence and its practical applications,
utilising games, activities, and multi-sensorial learning approaches, thereby ensuring they are AI-Ready.
2. Familiarise learners with three distinct domains of AI in a manner suitable for their age group.
3. Facilitate an environment where learners can derive a deeper understanding of AI through active participation and
stimulating hands-on activities.
4. Introduce the learners to the AI Project Cycle, ensuring they are well-versed in the stages and processes involved.
5. Introduce programming skills, specifically focusing on the foundational aspects of the Python coding language. Make
projects in AI and Machine Learning.

Learning Outcomes
Upon completion of this module, learners will be able to:
1. Recognise and value the role of Artificial Intelligence, detailing its practical applications in everyday scenarios.
2. Engage with Human-Machine Interactions, connecting with the three core AI domains: Data, Computer Vision, and
Natural Language Processing. Additionally, they will undertake assessments to gauge their progression in AI-Readiness
skills.
3. Envision and evaluate the skill sets pertinent to future job prospects.
4. Harness their creativity to conceptualise smart homes and craft engaging narratives around them.
5. Comprehend the influence of Artificial Intelligence on Sustainable Development Goals, fostering responsible
citizenship.
6. Investigate and heighten their understanding of the competencies essential for future professions.
7. Become cognisant of AI biases and access, articulating the potential ethical ramifications of AI.
8. Hone their communication abilities and foster a spirit of teamwork.
9. Cultivate an enthusiasm for Artificial Intelligence and discern the framework of the AI Project Cycle.
10. Grasp the art of problem definition and establish objectives for AI projects, recognising the cyclical nature of problem
definition within the AI project cycle.
11. Delve into the ethical dilemmas surrounding chosen problems.
12. Anticipate necessary data types and analyses, pinpointing reliable data sources.
13. Employ a variety of graphical representations to illustrate gathered data.
14. Comprehend, design, and apply the principles of Decision Trees.
15. Visualise a computer's proficiency in recognising alphabets and handwriting patterns.
16. Appreciate the intricacies of Neural Networks through gamified experiences and acquire foundational programming
competencies via gamified platforms.
17. Familiarise themselves with the basics of Python programming in an accessible and engaging manner.
Skills to be Developed

Artificial Intelligence Book Class 9 to 10 Features
Feature Class 9 Class 10
# of Pages 243 266
# of Chapters –
Employability Skills
5 5
# of Chapters – Subject
Specific Skills
4 7
# of Activities 30 30
CBSE Skill Subject
Covered
Class 9 Artificial Intelligence Subject Code 417 Class 10 Artificial Intelligence Subject Code 417
Software and Hardware
Used
Windows 10, PictoBlox Python, PictoBlox AI,
PictoBlox Machine Learning Environment
Windows 10, PictoBlox Python, PictoBlox AI,
PictoBlox Machine Learning Environment,
Python Libraries
Competition Access to Codeavour Access to Codeavour
Technologies Covered Employability Skills, Artificial Intelligence, Data
Science and Machine Learning
Employability Skills, Artificial Intelligence, Data
Science and Machine Learning
Sessions Required Total 120 – (60 Lab Sessions, 60 Classroom Learning
Sessions)
Total 120 – (60 Lab Sessions, 60 Classroom
Learning Sessions)
Resources for Teachers Lesson Plan, Lecture Slides (Textual, Images, Video)
Certification Yes (15 lab activities) Yes (15 lab activities)
Book Sections Part A: Employability Skills
Part B: Subject-specific Skills (AI)
Part C: Lab Activities
Part D: Project Work / Field Visit / Student Portfolio
Part A: Employability Skills
Part B: Subject-specific Skills (AI)
Part C: Lab Activities
Part D: Project Work, CBSE Sample Paper with
Answer
TOC for Employability
Skills
Unit 1: Communication Skills - 1
Unit 2: Self-Management Skills – 1
Unit 3: ICT Skills – 1
Unit 4: Entrepreneurial Skills – 1
Unit 5: Green Skills – 1
Unit 1: Communication Skills - 2
Unit 2: Self-Management Skills – 2
Unit 3: ICT Skills – 2
Unit 4: Entrepreneurial Skills – 2
Unit 5: Green Skills – 2
TOC for Subject-specific
Skills
Unit 1: Introduction to Artificial Intelligence (AI)
Unit 2: AI Project Cycle
Unit 3: Neural Network
Unit 4: Introduction to Python
Unit 1: Introduction to Artificial Intelligence (AI)
Unit 2: AI Project Cycle
Unit 3: Advance Python
Unit 4: Data Science
Unit 5: Computer Vision
Unit 6: Natural Language Processing
Unit 7: Evaluation of AI Models
TOC for Lab Activities Basics of Programming - 14
AI with PictoBlox - 8
ML with PictoBlox - 8
Advance Python - 18
OpenCV Basics - 4
AI with PictoBlox - 2
ML with PictoBlox - 6
TOC for Project Work Capstone Project – Codeavour
Sample Projects Built by Community
Capstone Project – Codeavour
Sample Projects Built by Community
Blueprint for Sample Question Paper for Class X
(Session 2023-2024)
Sample Question Paper for Class X (Session
2023-2024)
Marking Scheme for Class X (Session 2023-
2024)

2.1 Artificial Intelligence for Class 9 (Subject Code 417)
Embracing the future begins with education. The CBSE Class 9 Artificial Intelligence curriculum, under Subject Code 417, is a
pioneering step towards integrating advanced technology into secondary education. This curriculum is motivated by the
growing significance of AI in our modern world. It aims to prepare students for the future by providing them with the tools
and understanding necessary to navigate and contribute to a rapidly evolving technological landscape.
Key Aim of the Course
The core objective of this curriculum is to instil in students an in-depth understanding and appreciation of AI and its
significant role in our daily lives. Targeted at Class 9 students, this course aims to prepare them not just academically but
also for future career paths in the rapidly evolving tech world. It encompasses a balanced mix of theoretical knowledge and
practical skills, especially in Python programming and AI project development.
Salient Features of the Book
The course content is meticulously divided into four parts, each with its unique focus and learning outcomes:
• Part A: Employability Skills
This section covers essential skills like communication, self-management, ICT skills, entrepreneurial skills, and green
skills. It is designed to enhance students' overall personality and make them ready for future career challenges.
• Part B: Subject Specific Skills
Here, the students delve into the core concepts of AI, including an introduction to AI, the AI project cycle, neural
networks, and basics of Python programming. This part forms the backbone of the course, offering in-depth
knowledge of AI fundamentals.
• Part C: Practical Work
Practical application of theoretical knowledge is emphasised in this section. It includes extensive lab activities,
focusing on Python programming and machine learning, to enhance students' hands-on experience.
• Part D: Project Work / Field Visit / Student Portfolio
Aligned with the Sustainable Development Goals, this segment encourages students to apply their learning in real-
world scenarios, fostering a sense of responsibility and innovation.
Role of PictoBlox and Quarky in Enhancing Practical Learning
• PictoBlox: PictoBlox is an intuitive and engaging Python platform that simplifies complex AI concepts for students. It
uses interactive activities such as image classification, object detection, and natural language processing to make
learning AI accessible and enjoyable.
• Quarky: Quarky is a robotic tool that offers students a hands-on experience in robotics. It allows students to explore
robotic movements, sensor usage, and control systems in a practical setting, thus deepening their understanding of
robotics.
Chapter Specific Features
• Modern Technological Content: Tailored to match the technological interests of today's students.
• Activity-Based Learning: Focus on practical activities for interactive concept understanding.
• Step-by-Step Guidance: Detailed instructions for easy understanding of lessons and projects.
• Challenging Exercises: MCQ, answered short answer type questions, and higher-order questions to test and enhance
topic comprehension.
Our goal is to develop technologically adept and innovative future leaders through this book. We welcome suggestions for
its enhancement.
Scheme of Studies for Class 9 – AI Book | CBSE
This course is a planned sequence of instructions consisting of units meant for developing employability and vocational
competencies of students of Class IX opting for skill subject along with other education subjects.

The unit-wise distribution of hours and marks for class IX is as follows:
Units
No of Hours for
Theory and Practical
Maximum Marks
for Theory and
Practical
PART
A
Unit 1: Communication Skills - 1* 10 -
Unit 2: Self-Management Skills – 1 10 3
Unit 3: ICT Skills – 1 10 3
Unit 4: Entrepreneurial Skills – 1 15 4
Unit 5: Green Skills – 1* 05 -
Total 50 10
PART
B
Subject Specific Skills
Unit 1: Introduction to Artificial Intelligence (AI) 10
Unit 2: AI Project Cycle 15
Unit 3: Neural Network 5
Unit 4: Introduction to Python 10
Total 40
PART
C
Practical Work
Unit 4: Introduction to Python
Practical File with Minimum 15 Programs
15
Practical Examination
• Simple programs using input and output function
• Variables, Arithmetic Operators, Expressions, Data Types
• Flow of Control and Conditions
• Lists
Any 3 Program based on the above topics
15
Viva Voice 5
Total 35
PART
D
Project Work / Field Visit / Student Portfolio
* relate it to Sustainable Development Goals 15
Total 15
Grand Total 200 100
Note: * marked units are to be assessed through Internal Assessment/ Student Activities. They are not to be assessed in
Theory Exams.

Table of Contents for Class 9 – AI Book | CBSE
# Lesson Name Page
Unit 1 Communication Skills 1
Section 1 Introduction to Communication 1
Section 2 Verbal Communication 3
Section 3 Non-Verbal Communication 5
Section 4 Writing Skills: Parts of Speech 7
Section 5 Writing Skills: Sentences 10
Section 6 Pronunciation Basics 12
Section 7 Greetings and Introduction 14
Section 8 Talking about Self 15
Section 9 Asking Questions I 17
Section 10 Asking Questions II 18
Unit 2 Self-Management Skills 26
Section 1 Introduction to Self-management 26
Section 2 Strength and Weakness Analysis 27
Section 3 Self-confidence 30
Section 4 Positive Thinking 32
Section 5 Personal Hygiene 33
Section 6 Grooming 35
Unit 3 Information and Communication Technology Skills 41
Section 1 Introduction to ICT 41
Section 2 ICT Tools: Smartphones and Tablets — I 42
Section 3 ICT Tools: Smartphones and Tablets — II 44
Section 4 Parts of Computer and Peripherals 45
Section 5 Basic Computer Operations 49
Section 6 Performing Basic File Operations 50
Section 7 Communication and Networking — Basics of Internet 51
Section 8 Communication and Networking — Internet Browsing 53
Section 9 Communication and Networking — Introduction to e-mail 54
Section 10 Communication and Networking — Creating an e-mail Account 55
Section 11 Communication and Networking — Writing an e-mail 56
Section 12 Communication and Networking — Receiving and Replying to e-mails 57
Unit 4 Entrepreneurship Skills 65
Section 1 What is Entrepreneurship? 65
Section 2 Role of Entrepreneurship 67
Section 3 Qualities of a Successful Entrepreneur 68
Section 4 Distinguishing Characteristics of Entrepreneurship and Wage Employment 70

Section 5 Types of Business Activities 71
Section 6 Product, Service and Hybrid Businesses 73
Section 7 Entrepreneurship Development Process 75
Unit 5 Green Skills 80
Section 1 Society and Environment 80
Section 2 Conserving Natural Resources 85
Section 3 Sustainable Development and Green Economy 87
Part B: Subject Specific Skills
# Lesson Name Page
Unit 1 Introduction to Artificial Intelligence 95
Section 1
Excite – What is Intelligence, Understanding AI, Dream Smart Home, History of AI,
Application of AI
95
Section 2 Relate – AI in Smart Cities, AI in Smart Homes, Smart Home Evolution Activity 102
Section 3 Purpose – Sustainable Development Goals 104
Section 4 Possibilities – Exploring AI’s Future Impact, Envisioning the Job Market of 2029, 106
Section 5 AI Ethics – AI for Good, What is AI Ethics, Ballon Debate 108
Unit 2 AI Project Cycle 114
Section 1 Introduction to AI Project Cycle 114
Section 2 Problem Scoping – 4Ws Problem Canvas, Problem Statement Template, 116
Section 3
Data Acquisition – What is Data, Data Types, Data Acquisition, Data Sources, Data
Features, Datasets, System Maps – The Water Cycle
121
Section 4 Data Exploration – Data Visualization Charts 124
Section 5
Modelling – AI, ML, DL, What is Modelling, Learning Based Approach, Rule Based
Approach, Decision Tree, Pixel it Activity
128
Section 6 Evaluation 135
Unit 3 Neural Networks 139
Section 1
Modelling ML Models – Core Concepts of ML, Supervised Learning, Unsupervised
Learning
139
Section 2 Machine Learning Types – Classification, Regression, Clustering, Association 140
Section 3
Neural Networks Basics – Functionality, Working & Structure of a Neural Network,
Type of Neural Networks, Evaluation Metrics
142
Section 4 Neural Networks vs Human Nervous System 144
Section 5
PictoBlox Machine Learning Environment – Image Classifier, Pose Classifier, Hand
Pose Classifier, Text Classification, Object Detection, Number Classification and
Regression, Audio Classification
145
Unit 4 Basics of Python Programming 158
Section 1 Algorithms and Flowcharts 158
Section 2
Introduction to Python – Why Python, Why Python for AI, PictoBlox Python
Interface, Python Statements, Python Comments, Keywords, Identifiers, Indentation,
Taking Inputs with Sprites
160
Section 3 Variables and Data Types – Variables, Constants, Data Types in Python 166

Section 4
Python Operators 1 – Arithmetic Operators, Python Output, User Input in Python,
Type Conversion in Python
169
Section 5
Python Operators 2 – Comparison Operators, Logical Operators, Assignment
Operators
173
Section 6
Introduction to Tools for AI – PictoBlox AI, Python Modules for AI in PictoBlox,
Machine Learning for Kids in PictoBlox, Anaconda, Jupyter Notebook
176
Section 7
Lists and Tuples – List, Creating a List, Accessing List Elements, Adding Elements to a
List, Removing Elements from a List, Slicing in Lists, List Methods, Tuples
180
Section 8
Flow of Control and Conditions – if Statement, if-else Statement, if elif else
Statement, Nested if Statements, For Loop, While Loop
185
Part C: Lab Activities on Python, AI and ML
Lab Activity Activity Name Activity Category Page
Lab Activity 1 Algorithm and Flowcharts Basics of Programming 192
Lab Activity 2 First Python Code Basics of Programming 194
Lab Activity 3 Addition Bot with Python Basics of Programming 196
Lab Activity 4 Type Conversion in Python Basics of Programming 197
Lab Activity 5 Operators in Python – Part 1 Basics of Programming 199
Lab Activity 6 Operators in Python – Part 2 Basics of Programming 199
Lab Activity 7 Lists in Python – Part 1 Basics of Programming 201
Lab Activity 8 Lists in Python – Part 2 Basics of Programming 201
Lab Activity 9 Working with Conditions in Python Basics of Programming 204
Lab Activity 10 Nested Conditional Statements in Python Basics of Programming 206
Lab Activity 11 For Loop in Python Basics of Programming 207
Lab Activity 12 While Loop in Python Basics of Programming 209
Lab Activity 13 Combining Conditional and Loop Programming in Python Basics of Programming 210
Lab Activity 14 Prime Numbers with Python Basics of Programming 211
Lab Activity 15 Face Detection with Python – Part 1 AI with PictoBlox 213
Lab Activity 16 Face Detection with Python – Part 2 AI with PictoBlox 213
Lab Activity 17 Face Recognition with Python AI with PictoBlox 215
Lab Activity 18 Object Detection with Python – Part 1 AI with PictoBlox 217
Lab Activity 19 Object Detection with Python – Part 2 AI with PictoBlox 217
Lab Activity 20 Human Body Detection with Python AI with PictoBlox 222
Lab Activity 21 Finger Tracking with Python – Part 1 AI with PictoBlox 225
Lab Activity 22 Finger Tracking with Python – Part 2 AI with PictoBlox 225
Lab Activity 23 Mask Detection with Image Classifier (ML) – Part 1 ML with PictoBlox 227
Lab Activity 24 Mask Detection with Image Classifier (ML) – Part 2 ML with PictoBlox 227
Lab Activity 25 Pneumonia Detection with Image Classifier (ML) – Part 1 ML with PictoBlox 230
Lab Activity 26 Pneumonia Detection with Image Classifier (ML) – Part 2 ML with PictoBlox 230
Lab Activity 27 Gesture-Controlled Beetle in the Maze Game – Part 1 ML with PictoBlox 232

Lab Activity 30 NLP Based Text Classifier ML with PictoBlox 238
Part D: Project Work and Miscellaneous
# Lesson Name Page
1 Capstone Project – Codeavour 240
2 Sample Projects Built by Community 241
3 Answer Keys 242

2.2 Artificial Intelligence for Class 10 (Subject Code 417)
Embracing the future begins with education. The CBSE Class 10 Artificial Intelligence curriculum, under Subject Code 417, is
a pioneering step towards integrating advanced technology into secondary education. This curriculum is motivated by the
growing significance of AI in our modern world. It aims to prepare students for the future by providing them with the tools
and understanding necessary to navigate and contribute to a rapidly evolving technological landscape.
Key Aim of the Course
The core objective of this curriculum is to instil in students an in-depth understanding and appreciation of AI and its
significant role in our daily lives. Targeted at Class 10 students, this course aims to prepare them not just academically but
also for future career paths in the rapidly evolving tech world. It encompasses a balanced mix of theoretical knowledge and
practical skills, especially in Python programming and AI project development.
Salient Features of the Book
The course content is meticulously divided into four parts, each with its unique focus and learning outcomes:
• Part A: Employability Skills
This section focuses on key skills needed in the workplace. It covers communication (verbal, non-verbal, and written),
self-management including stress and time management, basic information technology skills, entrepreneurship
fundamentals, and green skills for sustainable development.
• Part B: Subject Specific Skills
This part delves into advanced topics like Artificial Intelligence, covering its basics, ethics, and applications, and
explores AI project cycles. It also includes advanced Python programming, data sciences, computer vision, and natural
language processing, providing a comprehensive understanding of these cutting-edge fields.
• Part C: Lab Activities on Python, AI, and ML
This section consists of practical lab activities to reinforce learning in Python, AI, and Machine Learning. Activities
range from basic Python operations to advanced applications in AI and ML, including data handling with Pandas,
image processing with OpenCV, and exploring various AI models.
• Part D: Project Work and Miscellaneous
The final part of the book is dedicated to project work and additional resources. It includes a capstone project, sample
projects, blueprints, and sample question papers for exams, along with their marking schemes and answer keys,
providing a complete educational resource for students.
Role of PictoBlox in Enhancing Practical Learning
• PictoBlox: PictoBlox is an intuitive and engaging Python platform that simplifies complex AI concepts for students. It
uses interactive activities such as image classification, object detection, and natural language processing to make
learning AI accessible and enjoyable.
Chapter Specific Features
• Modern Technological Content: Tailored to match the technological interests of today's students.
• Activity-Based Learning: Focus on practical activities for interactive concept understanding.
• Step-by-Step Guidance: Detailed instructions for easy understanding of lessons and projects.
• Challenging Exercises: MCQ, answered short answer type questions, and higher-order questions to test and enhance
topic comprehension.
Our goal is to develop technologically adept and innovative future leaders through this book. We welcome suggestions for
its enhancement.
Scheme of Studies for Class 10 – AI Book | CBSE
This course is a planned sequence of instructions consisting of units meant for developing employability and vocational
competencies of students of Class X opting for skill subject along with other education subjects.

The unit-wise distribution of hours and marks for class X is as follows:
Units
No of Hours for
Theory and Practical
Maximum Marks
for Theory and
Practical
PART
A
Unit 1: Communication Skills – II 10
10
Unit 2: Self-Management Skills – II 10
Unit 3: ICT Skills – II 10
Unit 4: Entrepreneurial Skills – II 15
Unit 5: Green Skills – II 05
Total 50 10
PART
B
Subject Specific Skills
Unit 1: Introduction to Artificial Intelligence (AI) 10
40
Unit 2: AI Project Cycle 10
Unit 3: Advance Python 5
Unit 4: Data Science 15
Unit 5: Computer Vision 10
Unit 6: Natural Language Processing 10
Unit 7: Evaluation 10
Total 70 40
PART
C
Practical Work
Practical Work:
• Unit 3: Advance Python
• Unit 4: Data Science
• Unit 5: Computer Vision
60
Practical Examination
35
Viva Voice
Total 60 35
PART
D
Project Work / Field Visit / Practical File / Student Portfolio 20
15
Viva Voice
Total 20 15
Grand Total 200 100

Table of Contents for Class 10 – AI Book | CBSE
# Lesson Name Page
Unit 1 Communication Skills 1
Section 1 Communication Methods 1
Section 2 Verbal Communication 4
Section 3 Non-Verbal Communication 6
Section 4 Communication Cycle and Importance of Feedback 9
Section 5 Barrier to Effective Communication 10
Section 6 Writing Skills – Parts of Speech 12
Section 7 Writing Skills – Sentences 14
Unit 2 Self-Management Skills 22
Section 1 Stress Management 22
Section 2 Self-awareness – Strength and Weakness Analysis 25
Section 3 Self-Motivation 27
Section 4 Self-Regulation – Goal Setting 30
Section 5 Self-Regulation – Time Management 32
Unit 3 Information and Communication Technology Skills 36
Section 1 Basic Computer Operations 36
Section 2 Performing Basic File Operations 38
Section 3 Computer Care and Maintenance 39
Section 4 Computer Security and Privacy 41
Unit 4 Entrepreneurship Skills 46
Section 1 Entrepreneurship and Society 46
Section 2 Qualities and Function of an Entrepreneur 49
Section 3 Myths about Entrepreneurship 52
Section 4 Entrepreneurship as a Career Path 55
Unit 5 Green Skills 60
Section 1 Sustainable Development 60
Section 2 Our Role In Sustainable Development 63
Part B: Subject Specific Skills
# Lesson Name Page
Unit 1 Introduction to Artificial Intelligence 66
Section 1
Understanding Artificial Intelligence – Evolution of Smartphones, What is
Intelligence, Type of Intelligence, Decision Making, Understanding AI, Application
of AI around us, Understanding the Distinctions: AI vs Other Technologies
66
Section 2 Basics of AI – KWLH Framework, AI Definition, Understanding AI, ML, and DL 73
Section 3
Introduction to AI Domains – Data Sciences, Computer Vision, Natural Language
Processing
75

Section 4
AI Ethics – Moral Dilemmas, Data Privacy in the Age of Smartphone,
Understanding Bias in AI, AI Access
77
Unit 2 AI Project Cycle 85
Section 1
Problem Scoping – Sustainable Development Goals, 4Ws Problem Canvas,
Problem Statement Template
85
Section 2
Data Acquisition – What is Data, Data Sources, Data Features, Datasets, Data
Acquisition
86
Section 3 Data Exploration – Data Visualization Charts 90
Section 4
Modelling – What is Modelling, Rule Based Approach, Learning Based Approach,
Supervised Learning, Unsupervised Learning, Classification, Regression, Clustering,
Dimensionality Reduction
92
Section 5 Evaluation 94
Section 6 Neural Network 98
Unit 3 Advance Python 104
Section 1 Jupyter Notebook – Jupyter Notebook Basics, Jupyter Notebook in PictoBlox 104
Section 2
Introduction to Virtual Environments – Anaconda Navigator Installation, Creating
a Virtual Environment
105
Section 3 PictoBlox Python – PictoBlox Python Interface 107
Section 4
Introduction to Python – Why Python for AI, Application of Python, Python Basics
– Printing Statements, Python Statements and Comments, Keywords, Identifiers,
Variables, Datatypes, Python Inputs, Python Operators (Arithmetic, Comparison,
Logical, Assignment), Conditional Statements (if, if-else, elif), Looping (for and
while)
109
Section 5
Python Packages - Installing Python Packages in Anaconda, Installing Python
Packages in PictoBlox Python, Importing Installed Packages, Key Python Libraries –
Numpy, OpenCV, Matplotlib, NLTK, Pandas
115
Section 6
PictoBlox Machine Learning Environment - Image Classifier, Pose Classifier, Hand
Pose Classifier, Text Classification, Object Detection, Numbers Classification and
Regression, Audio Classification
117
Unit 4 Data Sciences 128
Section 1 Introduction 128
Section 2 Application of Data Science 129
Section 3 AI Project Cycle for Data Science 131
Section 4 Data - Understanding Data Collection and Analysis, Data Sources, Data Formats 135
Section 5
Understanding Data Access in Python – NumPy (Defining an Aprray, 5 Usecases of
Numpy), Pandas (Diverse Data Handling with Pandas, Pillars of Pandas, Pandas in
Action), Matplotlib
136
Section 6
Data Visualization - Plotting with Matplotlib (Scatter Plots, Bar Charts, Histograms,
Box Plots (Box and Whisker Plots))
142
Section 7
Lists and Tuples – List, Creating a List, Accessing List Elements, Adding Elements to
a List, Removing Elements from a List, Slicing in Lists, List Methods, Tuples
143
Section 8
Data Sciences: Classification Model - Understanding the K-Nearest Neighbour
Algorithm
147
Unit 5 Computer Vision 152

Section 1 Application of Computer Vision 152
Section 2 Introduction to Computer Vision - Tasks in Computer Vision 154
Section 3
Basics of Images - Pixel Fundamentals, Resolution, Pixel Value, Grayscale Images,
RGB Images, Understanding RGB Image Storage in Computers, Image Features
154
Section 4
Introduction to OpenCV - Setting Up OpenCV, Image Resizing, Image Cropping,
Additional Image Processing Techniques
159
Section 5 Convolution – Kernal, Example of Python Code for Convolution 162
Section 6
Convolution Neural Network - What exactly is a Convolutional Neural Network?
Rectified Linear Unit Function, Pooling Layer, Fully Connected Layer
165
Unit 6 Natural Language Processing 173
Section 1 Application of Natural Language Processing 173
Section 2
Introduction to NLP - Understanding the AI Project Cycle through NLP, Mastering
Model Complexity in Statistical Modelling
174
Section 3 Exploring Chatbots and Their Types 176
Section 4 Human Language Vs Computer Language 178
Section 5
Data Processing in NLP - Sentence Segmentation, Tokenization, Removing
Stopwords, Special Characters, and Numbers, Converting Text to a Common Case,
Stemming / Lemmatization, Part-of-speech (POS) Tagging, Bag of Words (Bow), TF-
IDF (Term Frequency & Inverse Document Frequency)
179
Section 6
NLTK (Natural Language ToolKit) - How to Use NLTK in Python, Tokenization,
Stemming, Lemmatization
186
Section 7
Large Language Model (LLM) - Key Aspects of LLMs, Use Cases of LLMs,
Advantages of LLMs, Challenges and Limitations, Examples of LLMs
188
Unit 7 Evaluation 193
Section 1 Introduction to Model Evaluation in AI - Key Terms in Model Evaluation 193
Section 2 Confusion Matrix in Model Evaluation 195
Section 3 Evaluation Methods – Accuracy, Precision, Recall, F1 Score 197
Part C: Lab Activities on Python, AI, and ML
Lab Activity Activity Name Activity Category Page
Lab Activity 1 Calculator Application Using Python Functions Advance Python 204
Lab Activity 2 Weather Clothing Advisor Using Python Conditions Advance Python 205
Lab Activity 3 Sorting a Class Roster in Python Advance Python 206
Lab Activity 4 Exploring NumPy Advance Python 207
Lab Activity 5 Pandas Basics and Reading a CSV File Advance Python 208
Lab Activity 6 Reading JSON Data into a Pandas DataFrame Advance Python 210
Lab Activity 7 Basic Pandas Operations Advance Python 213
Lab Activity 8 Plotting X and Y Point Arrays using Matplotlib Advance Python 215
Lab Activity 9 Plotting with Matplotlib - Markers, Line Styles, & Axis Labels Advance Python 216
Lab Activity 10 Plotting Bar Graphs with Bestselling Book Data Advance Python 218
Lab Activity 11 Scatter Plots with Varied Data using Matplotlib Advance Python 220
Lab Activity 12 Regression - Predicting Future Temperatures Advance Python 221

Lab Activity 13 Image Manipulation with OpenCV - Cropping and Resizing OpenCV Basics 223
Lab Activity 14 Image Processing Techniques with OpenCV OpenCV Basics 225
Lab Activity 15 Exploring Image Convolution with OpenCV OpenCV Basics 226
Lab Activity 16 Convolution on a Random Array with OpenCV OpenCV Basics 228
Lab Activity 17 Face Emotion Detector AI with PictoBlox 229
Lab Activity 18 Object Detector in PictoBlox Using Python AI with PictoBlox 231
Lab Activity 19 Fruit Classifier in PictoBlox Using Python – Part 1 ML with PictoBlox 232
Lab Activity 20 Fruit Classifier in PictoBlox Using Python – Part 2 ML with PictoBlox 232
Lab Activity 21 Rock, Paper, Scissors Hand Pose Classifier ML with PictoBlox 235
Lab Activity 22 Yoga Pose Detector with Pose Classifier ML with PictoBlox 237
Lab Activity 23 Titanic Survival Classifier in Python – Part 1 ML with PictoBlox 239
Lab Activity 24 Titanic Survival Classifier in Python – Part 2 ML with PictoBlox 239
Lab Activity 25 Implementing K-Means Clustering in Python – Part 1 Advance Python 242
Lab Activity 26 Implementing K-Means Clustering in Python – Part 2 Advance Python 242
Lab Activity 27 Exploring the NLTK Package in Python – Part 1 Advance Python 244
Lab Activity 28 Exploring the NLTK Package in Python – Part 2 Advance Python 244
Lab Activity 29 Creating and Plotting a Confusion Matrix in Python – Part 1 Advance Python 246
Lab Activity 30 Creating and Plotting a Confusion Matrix in Python – Part 2 Advance Python 246
Part D: Project Work and Miscellaneous
# Lesson Name Page
1 Capstone Project – Codeavour 249
2 Sample Projects Built by Community 250
3 Blueprint for Sample Question Paper for Class X (Session 2023-2024) 251
4 Sample Question Paper for Class X (Session 2023-2024) 252
5 Marking Scheme for Class X (Session 2023-2024) 259
6 Answer Keys 265

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