Fill in the blanks Questions for AI course

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Lesson no.1

1. AI in Healthcare helps doctors detect diseases.
2. Self-driving cars use AI to detect roads and traffic.
3. AI in finance helps detect Fraud.
4. AI is trained using large amounts of Data.
5. A major risk of AI is loss of Jobs.

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Lesson no.2

1.AI learns from data to improve its performance.

2.Supervised learning uses labeled data to train AI

3. Spam filters in Gmail use:

(Like in Gmail)

a) Supervised

4. Self-driving cars learn by using:

b) Reinforcement

5. A Machine Learning model improves when it gets more:

 a) Data

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Lesson no.3

1. Deep Learning uses Neural Networks to learn patterns.
2. The Output Layer in a Neural Network provides Predictions.
3. Speech Recognition systems use Deep Learning to understand voice commands.
4. Self-driving cars use Neural Networks to recognize roads and traffic signals.
5. More data helps AI become Smarter.

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Lesson no.4

• Computer Vision helps AI to Understand images and videos.
• AI in Face Recognition analyzes Facial features to identify people.
• AI in self-driving cars detects Traffic signals and obstacles.
• AI can check if a plant has a Disease by analyzing leaf images.
• More images help AI become Smarter at recognizing objects.

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Lesson no.5

• NLP helps AI to understand and process Text and speech.
• Google Assistant and Siri are examples of Voice-based AI.
• NLP is used in AI chatbots to Communicate.
• AI-powered Google Translate can translate text into different languages.

1. Multiple Choice Questions (MCQs) For AI

Lesson no.1

AI Concepts and applications 

 1. Multiple Choice Questions (MCQs)

Which AI is used in self-driving cars?

✅ b) AI for Transportation

Which of these is an example of AI in daily life?

✅ a) Google Translate

Which type of AI can perform only a specific task?

✅ a) Narrow AI

What is a risk of AI?

✅ b) AI can replace some jobs

How does AI help in farming?

✅ a) AI helps predict rainfall

Lesson no.2

Machine learning and AI training 👇👇

. Multiple Choice Questions (MCQs)

What is Machine Learning?

✅ b) AI learning from data and improving over time

Which type of Machine Learning is used in spam detection?

✅ a) Supervised Learning

Which Machine Learning type learns by trial and error?

✅ b) Reinforcement Learning

Which AI application is an example of Face Recognition?

✅ b) AI in Security Cameras

What is the purpose of AI libraries like Scikit-learn?

✅ b) To train AI models

Lesson no.3

Deep learning and neural network 

What is Deep Learning?

✅ b) A special type of Machine Learning using Neural Networks

Which AI application uses Deep Learning?

✅ b) AI in Self-Driving Cars

What does the Input Layer in a Neural Network do?

✅ b) Takes in raw data

Which AI tool is used for Deep Learning?

✅ a) TensorFlow

Lesson no.4

Computer Vision and images recognition 

What is Computer Vision?

✅ b) AI that helps computers see and understand images

Which AI application uses Computer Vision?

✅ b) AI in Face Recognition

What is Object Detection?

✅ b) AI finding and labeling objects in images

Which AI tool helps identify objects in an image?

✅ a) Google Lens

How does AI help in agriculture?

✅ a) AI detects plant diseases

Lesson no.5

Natural language processing (NLP)

What does NLP stand for?

✅ b) Natural Language Processing

Which of these is an example of NLP?

✅ a) Google Translate

What does AI use NLP for?

✅ a) To understand and process human language

Which of the following is a speech-to-text AI application?

✅ a) WhatsApp Voice Typing

What does Sentiment Analysis in AI do?

✅ b) It detects emotions in text