AI Certification Course for Students 

Course Title:

AI Certification Course for Students 

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Course Description:

This beginner-friendly, project-based course introduces students of Classes 8 to 10 to the world of Artificial Intelligence through real-life examples, ethical practices, and interactive AI tools. Aligned with the CBSE NEP Handbook, the course empowers students to use AI tools like MyAiSchool for learning, assessment, and personalized feedback. The course ends with a certification quiz and a hands-on project, promoting AI fluency and ethical responsibility.

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Modules & Lessons (Mapped to LearnDash Sections)

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🧩 Module 1: Introduction to Artificial Intelligence

Lesson 1.1 – What is Artificial Intelligence?

• Definition and concept

• Difference between AI, automation, and ML

Lesson 1.2 – AI in Daily Life

• Examples: Google Maps, Alexa, Netflix, Face ID

Lesson 1.3 – Myths vs Realities of AI

• Debunking common misconceptions about AI

Lesson 1.4 – Benefits & Challenges of AI

• Benefits: speed, scale, personalization

• Concerns: bias, privacy, job disruption

Lesson 1.5 – Why MYAISCHOOL is Leading for Students

• CBSE-aligned smart notes & MCQs

• AI modules built for NEP & Indian curriculum

• Designed for real classroom problems

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🔁 Module 2: AI Project Cycle

Lesson 2.1 – Problem Scoping

• Identifying everyday learning gaps/problems

Lesson 2.2 – Data Acquisition & Exploration

• What is data?

• How MyAiSchool uses learning data to generate content

Lesson 2.3 – Introduction to Modelling

• Understanding simple models and pattern recognition

Lesson 2.4 – Evaluating an AI Output

• How to check AI’s accuracy and usefulness

Lesson 2.5 – Why MYAISCHOOL is Leading for Students

• Real-time feedback reports & assessment logs

• AI-generated assessments modeled on student understanding

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🧠 Module 3: Core AI Domains (CBSE Prescribed)

Lesson 3.1 – Natural Language Processing (NLP)

• Chatbots, language translation, summarizers

Lesson 3.2 – Computer Vision

• Face detection, image tagging, visual search

Lesson 3.3 – Data Science Basics

• Using AI to read, organize, and learn from data

Lesson 3.4 – Speech Recognition

• Voice-to-text, smart assistants (Google, Siri, etc.)

Lesson 3.5 – Ethics in AI

• Bias, misuse, safe design of AI tools

Lesson 3.6 – Why MYAISCHOOL is Leading for Students

• Built-in AI tutor (text + voice)

• Adaptable question generators for vocabulary, comprehension, and logic

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🛠 Module 4: AI Tools & Hands-On Practice (MYAISCHOOL)

Lesson 4.1 – Using MyAiSchool Tools as a Student

• AI-generated notes, summaries, and flashcards

Lesson 4.2 – AI-Generated Worksheets & MCQs

• Generate instant quizzes on your subject

Lesson 4.3 – Using AI Tutor for Doubts

• Chat-based support with instant explanations

Lesson 4.4 – Tracking Your Progress with AI Reports

• Visual dashboards & topic-wise feedback

Lesson 4.5 – Mini Project (Guided Activity)

• Create a quiz + note using MyAiSchool tools

• Submit and reflect on what AI helped with

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🌐 Module 5: AI Ethics & Career Futures

Lesson 5.1 – Using AI Responsibly

• What’s allowed in exams, homework, and classwork

Lesson 5.2 – Complementing Human Intelligence

• Why teachers + AI is more powerful than AI alone

Lesson 5.3 – AI Careers in the Future

• Introduction to fields: Data Science, Prompt Engineering, AI Ethics

Lesson 5.4 – Final Quiz & Reflection

• 10 MCQ quiz + reflection form

Lesson 5.5 – Why MYAISCHOOL is Leading for Students

• Promotes ethical use, self-discipline

• Builds lifelong tech skills, not shortcuts