7 Days Master plan to study Artificial Intelligence Class 10 for board exam 2025

In this article, we discuss about 7 days Master plan to study Artificial Intelligence Class 10 for board exam. Let us begin!

Artificial Intelligence (AI) is one of the most exciting and rapidly growing fields today, and it’s also a part of the Class 10 curriculum for students in India by CBSE. With AI becoming more integral to modern industries, education systems have introduced it as an elective subject for students. For those preparing for their Class 10 board exams, mastering AI can be a rewarding challenge.

This blog post will guide you through a step-by-step plan to effectively study for your Class 10 AI exam, ensuring that you understand the key concepts, practice regularly, and perform well in your board exams.

1. Understand the Syllabus

The first step in your 7 days Master plan to study Artificial Intelligence Class 10 for board exam, study plan should always be understanding the syllabus thoroughly. The AI syllabus for Class 10, as prescribed by the CBSE, covers the following broad topics:

Part A Employability Skills

Part B – Subject Specific Skills

Make sure you go through the detailed syllabus provided by CBSE and make note of the key concepts for each section. This will act as your roadmap for your AI exam preparation.

2. Create a Study Timetable

Time management is crucial when preparing for board exams. Allocate specific hours for studying AI each day, considering other subjects. Here’s how you can break down your study timetable:

• Daily Study Sessions
  • 1–1.5 hours per day for AI
  • Divide this time into Part A: Employability Skills and Part B: Subject Specific Skills.
• Weekly Plan
  • Dedicate the first 3 days to theoretical concepts: Read and make notes.
  • On the remaining days, focus on hands-on practice using sample papers and important questions or PYQs.
• Revision Time
  • Leave 2 weeks before the board exams for revision. This will include re-reading your notes, practicing important topics, and attempting sample papers.

3. Deep Dive into Key AI Concepts

The more you understand the fundamental concepts of AI, the easier it will be to score well in your exams. Break down your study into manageable chunks:

Introduction to AI

• What is AI? Learn the definition of AI, its history, and the key areas it covers (e.g., machine learning, robotics, expert systems).
• Applications of AI: Understand where AI is used, such as in healthcare (diagnostics), autonomous vehicles, virtual assistants, etc.

Data Handling

• Types of Data: Learn about structured vs unstructured data.
• Data Processing: Understand the basics of data cleaning, organizing, and how to handle missing data.

AI Algorithms and Machine Learning

• Machine Learning (ML): Learn the difference between supervised and unsupervised learning.
• Deep Learning: Know how deep learning models (like neural networks) are used in AI applications.

Familiarize yourself with terms like “training data,” “test data,” “model,” and “accuracy.” These are commonly tested in the exam.

AI Ethics and Safety

This is an important but often overlooked part of the syllabus. Ethical considerations like AI bias, privacy, and security are key in understanding AI’s societal impact. Read about:

• Ethical implications of AI in real-life applications.
• AI and its effect on employment, privacy, and society.

4. Use the Right Resources

• Textbooks: Make sure you have the latest edition of your AI textbook (CBSE recommended). These are specially designed to align with the exam pattern.
• Online Resources: Platforms TutorialAICISP offers introductory courses on AI and Python programming that can help you reinforce your understanding.
• YouTube Channels: Channels like TutorialAICSIP offer free tutorials on Python and AI.

5. Revision and Mock Tests

As the exam date approaches, revision is critical. Focus on:

• Reviewing Notes: Revise all the important topics and algorithms you’ve studied.
• Mock Tests: Attempt mock tests or previous year’s question papers under exam conditions to get a feel for the timing and pressure.

Make sure you are clear on the theoretical concepts and can apply your knowledge to practical coding problems.

6. Stay Positive and Confident

Finally, remember that AI is an evolving and dynamic field. While it may seem overwhelming at first, with consistent effort and a structured plan, you can master the concepts required for your Class 10 board exam. Stay positive, keep practicing, and trust your preparation.

Sample Study Schedule for AI Class 10 Board exam 2025

This year Class 10 Students have 7 days after the Mathematics Exam. This is a great opportunity to study Artificial Intelligence in thoroughly and score full marks. Here is where we have developed 7 Days Master plan to study Artificial Intelligence Class 10 for the board exam 2025. Follow this with study resources as well:

Day 1: Introduction to Artificial Intelligence

Topics to Cover:

1. Introduction to Intelligence
   1. What is Human Intelligence?
   1. How do you make decisions
2. What is Artificial Intelligence?
   1. What AI and What is not AI?
   1. Introducing AI, ML & DL
3. Introduction to AI Domains
   1. Data Science
   1. Computer Vision
   1. Natural Language Processing
4. Applications of AI
5. AI Ethics

Resources:

• Notes – AI Foundational Concepts
• Questions –
  • AI Foundational Concepts
  • AI Domains
  • AI Ethics

Day 2: Unit 2 AI Project Cycle

Topics to Cover:

1. Introduction to AI Project Cycle
2. Understanding the stages of AI Project Cycle Stages

• Problem Scoping
• Data Acquisition
• Data Exploration
• Modelling
• Evaluation

Resources:

• Notes – AI Project cycle
• Questions –
  • Problem Scoping
  • Data Acquisition
  • Data Exploration
  • Modelling
  • Neural Network

Part A : Communication Skills

Topics to Cover

1. Introduction to communication
2. Methods of communication
3. Verbal communication
4. Non-Verbal Communication
5. Communication Cycle and Importance of Feedback
6. Barriers to effective communication
7. Writing Skills – Parts of Speech
8. Writing Skills – Sentences

Resources:

• Notes – Communication Skills (Including questions links)

Day 3: Unit 4 Data Science

Topics to Cover:

1. Introduction to Data Science
2. Applications of Data Science
3. Revisiting AI Project Cycle
4. Data acquisition
5. Data Visualization
6. Data Exploration

Resources: Notes: Data Science, Questions: Data Science

Part A: Employability Skills – Self-Management Skills

Topics to Cover:

• What is Self Management?

• Stress Management
  • What is stress?
  • Stress Management
  • ABC of stress management
  • Three steps to manage stress
  • Stress management techniques

• Ability to work independently and Emotional Intelligence
• Self-awareness – Strength and weakness analysis
  • Knowing your strength and weaknesses analysis
• • techniques for identifying strengths and weaknesses
• • Find answers to these questions for a better analysis
  • Difference between interest and ability
• Self-Motivation
  • Types of self-motivation
  • Qualities of Self-motivated People
• Self-regulation: Goal Setting
  • How to set goals? And Examples

Resources: Notes: Self-Management Skills

Day 4: Unit 5 Computer Vision

Topics to Cover:

1. Define the Concept of Computer Vision
2. Applications of CV
3. Basic Concepts of Image Representation
4. Feature extraction
5. Object Detection and Segmentation

Resources: IMP Questions Video

Part A: Employability Skills – ICT Skills

1. Basic Computer Operations
2. Performing basic file operations
3. Computer Care and Maintenance
4. Basic tips for taking care of devices
5. Computer Security and privacy

Resources: Notes – ICT Skills

Day 5: Unit 6 Natural Language Processing

Topics to Cover:

1. Introduction to NLP
2. Importance of  NLP in AI
3. Applications
4. Introduction to Chatbots
5. Human Language vs Computer Language
6. Text Normalization
7. Bag of words

Resources: Notes NLP

Part A: Employability Skills – Entrepreneurial Skills

1. Introduction
2. Who is entrepreneur
3. Entrepreneurs and the society
4. Qualities of an Entrepreneur
5. Functions of an entrepreneur
6. Importance of an entrepreneur
7. Myths about entrepreneur
8. Entrepreneurship as career

Resources – Employability Skills – Entrepreneurial Skills

Day 6: Unit 7 Evaluation

Topics to Cover:

1. Introduction to Evaluation

• What is evaluation?
  • Types of evaluation
    • Underfit
    • Perfect fit
    • Overfit

• Model evaluation terminologies

• Prediction
  • Reality
  • True Positive
  • True Negative
  • False Positive
  • False Negative

• Confusion Matrix
  • Making Confusion matrix

• Accuracy
• Precision

• Recall
  • Which metric is important? Precision or recall
• F1 Score

Resources: Notes

Part A – Employability Skills: Green Skills

1. Introduction to green skills
2. Sustainable Development
3. Importance of sustainable development
4. Problem related to sustainable development
5. Sustainable Development Goals
6. Sustainable Development initiatives
7. Sustainable Process
8. Our role in sustainable development
9. Sustainable cities and communities
10. Responsible consumers and producers
11. Protect life below water and on land

Resources: Notes

Day 7: Revision and Practice Sample Paper

Sample Papers & Previous Papers

Additional Tips:

• Stay Consistent: Stick to the schedule and make sure to not skip any day’s topics.
• Take Breaks: Study for 45–50 minutes, then take a 10–15 minute break to stay focused.
• Clarify Doubts: If you have any doubts, don’t hesitate to ask us in the comment section in YouTube or blog, classmates, or use online resources.
• Use Flashcards: Create flashcards for key terms and definitions, especially for algorithms and ethics concepts.
• Stay Calm and Focused: The last day should be more about revising and practicing, so don’t stress—just refresh your memory.

By following this study plan, you’ll have a well-rounded preparation for your AI Class 10 exam.

Good luck!

Conclusion

By following this structured study plan, you will be able to grasp the key concepts of AI for your Class 10 board exams. AI is not just about memorizing facts but understanding how these concepts are applied in real-world scenarios. With regular practice, consistent learning, and a positive mindset, you’ll be able to excel in your exam and perhaps even develop a deeper interest in AI for your future studies!

Good luck with your preparation!