Top 15 AI Interview Questions for Freshers

Over the next three years, 92% of companies are planning to boost their investments in AI. This means there will be more job opportunities and demand for skilled professionals like you. If you're just starting your journey in Artificial Intelligence (AI) and preparing for job interviews, you might feel nervous or unsure about what to expect. The good news is that with good preparation, you will feel confident and ready to impress your interviewers.

In this blog, you'll discover 15 common AI interview questions for freshers that companies often ask. 

Important AI Interview Questions for Freshers

Below are the top 15 questions that frequently arise in AI interviews for fresh graduates. You should understand these artificial intelligence questions for freshers and practise answering them clearly and confidently.

1. What is Artificial Intelligence?

Why they ask: This is a basic question to test your understanding of AI.

How to answer:

AI (Artificial Intelligence) is the ability of machines or computer programs to think and learn like humans. It enables machines to solve problems, recognise speech, understand language, and even make decisions.

2. What are the differences between Artificial Intelligence, Machine Learning, and Deep Learning?

Why they ask: To check if you understand the key areas within AI.

How to answer:

• AI is a broad field that includes everything related to making machines intelligent.
• Machine Learning is an important part of AI that lets machines learn from data.
• Deep Learning is, in turn, a type of Machine Learning that utilises artificial neural networks with multiple layers to learn complex patterns.

3. What are the different types of AI?

Why they ask: To test your knowledge of AI categories.

How to answer:

There are three types:

• Narrow AI: AI that does one specific task (like Siri or Alexa).
• General AI: AI that can do any task a human can do (we're not there yet).
• Super AI: AI that is smarter than humans (still a concept, not real yet).

4. What is the Turing Test?

Why they ask: This is a classic AI concept, often posed in AI internship interview questions.

How to answer:

The Turing Test checks if a machine can act like a human. If you chat with a machine and can't tell if it's a human or not, it passes the test. It was proposed by Alan Turing.

5. What is supervised and unsupervised learning?

Why they ask: These are key concepts in machine learning.

How to answer:

• Supervised learning refers to the situation where the data has labels. The model learns from the correct answers.
• Unsupervised learning means the data doesn't have labels. The model finds patterns by itself.

6. Can you name some common algorithms used in AI?

Why they ask: To check if you’re familiar with the tools used in AI.

How to answer:

• Some common algorithms are:
• Linear Regression
• Decision Trees
• K-Nearest Neighbours
• Support Vector Machines
• Neural Networks

7. What is overfitting in Machine Learning?

Why they ask: Machine learning interview questions for freshers show how well you understand model performance.

How to answer:

Overfitting occurs when a model learns the training data too well, including the noise and errors, resulting in poor performance on new, unseen data.

8. What are neural networks?

Why they ask: Because deep learning is an important part of AI.

How to answer:

Neural networks are computer systems inspired by the human brain. They have layers of nodes (or neurons) that process data. They are used in image and speech recognition, among other applications.

9. What is natural language processing (NLP)?

Why they ask: NLP is a growing area in AI.

How to answer:

NLP helps computers understand, interpret, and respond to human language. It’s used in chatbots, translation tools, and voice assistants.

10. What is the difference between classification and regression?

Why they ask: It helps them know if you understand the types of ML problems.

How to answer:

• Classification predicts categories (like spam or not spam).
• Regression predicts numbers (like price or temperature).

11. What is a confusion matrix?

Why they ask: It's used to measure how good your model is.

How to answer:

A confusion matrix shows how many predictions were correct or incorrect. It includes True Positives, False Positives, True Negatives, and False Negatives. It helps you understand your model’s accuracy.

12. What is reinforcement learning?

Why they ask: To see if you know about learning through feedback.

How to answer:

Reinforcement learning is when an AI agent learns by interacting with an environment. It takes actions and gets rewards or penalties. It learns the best actions to take over time.

13. What is the role of data in AI?

Why they ask: One of the most commonly asked AI job interview questions and answers to ensure you know the importance of data in AI. 

How to answer:

Data is the fuel for AI. The more good-quality data you have, the better your AI models can learn. Without data, machines can't find patterns or make predictions.

14. What are some top real-world applications of AI?

Why they ask: They want to see if you understand how AI is used.

How to answer:

AI is used in many places, like:

• Self-driving cars
• Chatbots and virtual assistants
• Healthcare (like detecting diseases)
• E-commerce (product recommendations)
• Banking (fraud detection)

15. Why do you want to work in AI?

Why they ask: This helps them understand your motivation.

How to answer:

You can say something like you are excited by the way AI can solve real problems and make life better. You could add that you enjoy learning new things and want to be part of this fast-growing field to build smart and helpful solutions.

How Amity University Online Helps You Prepare for AI Interviews

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Key features include:

• AI-Powered Resume Builder: Create industry-ready CVs tailored to your role.
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• Code Quest: Sharpen your technical skills with coding challenges.
• Application Tracker: Manage and monitor all your job applications in one place.

Conclusion

Preparing for your first AI interview may seem challenging, but understanding the basics can give you a real edge. These 15 basic AI interview questions cover the most important topics and will help you feel more confident. Keep learning, stay curious, and don’t be afraid to ask questions during the interview. Employers value freshers who are eager to grow. With the right attitude and preparation, you’ll be well on your way to starting a successful career in Artificial Intelligence.

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