44 interview questions on Artificial Intelligence - Fundamentals for developers (2026)

Easy

10 votes582 runs

1 comment

What is the main purpose of the LSTM (Long Short-Term Memory) model in machine learning?

Data Scientist

Artificial Intelligence

abdelghaniat Mar 26, 2024

Easy

8 votes878 runs0 comment

What are the different learning methods used for machine learning ?

Data Scientist

Artificial Intelligence

machine learning

learning

Martinat Sep 19, 2022

Hard

8 votes843 runs0 comment

Fuzzy logic is a method of reasoning used in AI that aims at reproducing human reasoning. The outcome is the opposite of the boolean outcome (binary) . It can be any value between 0 and 1 (true and false). For example, the outcome can be possibly yes (0.7), not sure (0,6) , possibly no (0,4), or certainly no (0,18)...

Data Scientist

Artificial Intelligence

logic

reasoning

Martinat Mar 15, 2022

Easy

5 votes703 runs1 comment

How could we shortly define deep learning ?

Data Scientist

Artificial Intelligence

machine learning

neural network

Martinat Mar 15, 2022

Easy

5 votes665 runs0 comment

A model hyper-parameter is a configuration which is external to the model. It defines the model’s structure.

Data Scientist

Artificial Intelligence

hyperparameters

neural networks

Martinat Mar 15, 2022

Easy

5 votes664 runs0 comment

Which code language is the most used to implement AI?

Data Scientist

Artificial Intelligence

python

language

Martinat Mar 15, 2022

Easy

5 votes655 runs0 comment

Supervised learning is a type of machine learning that uses labeled data to train a model.

Data Scientist

Artificial Intelligence

supervised learning

machine learning

Martinat Mar 15, 2022

Hard

4 votes744 runs0 comment

Strong AI, also known as general AI, aims at creating smart machines that are indistinguishable from the human brain.

Data Scientist

Artificial Intelligence

strong AI

weak AI

Martinat Mar 15, 2022

Hard

3 votes788 runs0 comment

Weak AI is one of the 2 AI categories: weak, strong. Also known as narrow AI, weak AI are made to perform on some specific tasks.

Data Scientist

Artificial Intelligence

weak AI

strong AI

Martinat Mar 15, 2022

Medium

3 votes686 runs0 comment

Which of the following statements is true when considering machine learning?

Data Scientist

Artificial Intelligence

machine learning

Martinat Mar 15, 2022

Hard

2 votes691 runs0 comment

What type of AI are face recognition systems based on?

Data Scientist

Artificial Intelligence

weak ai

face recognition

Martinat Mar 15, 2022

Easy

2 votes679 runs0 comment

What is the core technology of deep learning?

Data Scientist

Artificial Intelligence

neural network

deep learning

Martinat Mar 15, 2022

Easy

2 votes663 runs0 comment

Natural language processing is divided into two sub-field. What are their names?

Data Scientist

Artificial Intelligence

nlp

understanding

Martinat Mar 15, 2022

Easy

2 votes459 runs0 comment

Which machine learning technique is primarily used to group a set of data into similar subsets?

Data Scientist

Artificial Intelligence

abdelghaniat Mar 27, 2024

Easy

1 vote776 runs0 comment

What is natural language processing?

Data Scientist

Artificial Intelligence

language

generation

Martinat Mar 15, 2022

Medium

1 vote407 runs0 comment

What is the link between AI and Crypto Money?

Data Scientist

Artificial Intelligence

blockchain

cryptocurrency

Martinat Mar 15, 2022

Easy

1 vote278 runs0 comment

An AI ______ is a software that can interact with a human user through a conversation made of natural language. What is the missing word?

Data Scientist

Artificial Intelligence

chatbot

natural language processing

Martinat Mar 15, 2022

Easy

1 vote209 runs0 comment

What is the aim of data normalization? Its aim is to transform data sets so that all of its values are in a given range (ex: 0 to 1) while keeping the model's statistical properties.

Data Scientist

Artificial Intelligence

data

normalization

Martinat Mar 15, 2022

Easy

1 vote52 runs0 comment

Overfitting is the production of a model that corresponds too closely to the training data set and may therefore fail to fit other data sets and so fail to perform any reliable forecast.

Data Scientist

Artificial Intelligence

overfitting

machine learning

Martinat Mar 15, 2022

Medium

0 vote700 runs

2 comments

Which of the following fields are AI branches? Machine learning, Deep learning

Data Scientist

Artificial Intelligence

machine learning

deep learning

Martinat Mar 15, 2022

44 interview questions on Artificial Intelligence - Fundamentalsfor developers (2026)

Test your technical skills before an interview of Artificial Intelligence - Fundamentals with 44 corrected questions. Beginner, Intermediate or Expert level.

What is the main purpose of the LSTM (Long Short-Term Memory) model in machine learning?

What are the different learning methods used for machine learning ?

How could we shortly define deep learning ?

A model hyper-parameter is a configuration which is external to the model. It defines the model’s structure.

Which code language is the most used to implement AI?

Supervised learning is a type of machine learning that uses labeled data to train a model.

Strong AI, also known as general AI, aims at creating smart machines that are indistinguishable from the human brain.

Weak AI is one of the 2 AI categories: weak, strong. Also known as narrow AI, weak AI are made to perform on some specific tasks.

Which of the following statements is true when considering machine learning?

What type of AI are face recognition systems based on?

What is the core technology of deep learning?

Natural language processing is divided into two sub-field. What are their names?

Which machine learning technique is primarily used to group a set of data into similar subsets?

What is natural language processing?

What is the link between AI and Crypto Money?

An AI ______ is a software that can interact with a human user through a conversation made of natural language. What is the missing word?

What is the aim of data normalization? Its aim is to transform data sets so that all of its values are in a given range (ex: 0 to 1) while keeping the model's statistical properties.

Overfitting is the production of a model that corresponds too closely to the training data set and may therefore fail to fit other data sets and so fail to perform any reliable forecast.

Which of the following fields are AI branches? Machine learning, Deep learning

44 interview questions on Artificial Intelligence - Fundamentalsfor developers (2026)

Test your technical skills before an interview of Artificial Intelligence - Fundamentals with 44 corrected questions. Beginner, Intermediate or Expert level.

What is the main purpose of the LSTM (Long Short-Term Memory) model in machine learning?

What are the different learning methods used for machine learning ?

How could we shortly define deep learning ?

A model hyper-parameter is a configuration which is **external to the model**. It defines the model’s structure.

Which code language is the most used to implement AI?

Supervised learning is a type of machine learning that uses labeled data to train a model.

Strong AI, also known as general AI, aims at creating smart machines that are indistinguishable from the human brain.

Weak AI is one of the 2 AI categories: weak, strong. Also known as narrow AI, weak AI are made to perform on some specific tasks.

Which of the following statements is true when considering machine learning?

What type of AI are face recognition systems based on?

What is the core technology of deep learning?

Natural language processing is divided into two sub-field. What are their names?

Which machine learning technique is primarily used to group a set of data into similar subsets?

What is natural language processing?

What is the link between AI and Crypto Money?

An AI ______ is a software that can interact with a human user through a conversation made of natural language. What is the missing word?

What is the aim of data normalization? Its aim is to transform data sets so that all of its values are in a given range (ex: 0 to 1) while keeping the model's statistical properties.

Overfitting is the production of a model that corresponds too closely to the training data set and may therefore fail to fit other data sets and so fail to perform any reliable forecast.

Which of the following fields are AI branches? Machine learning, Deep learning

A model hyper-parameter is a configuration which is external to the model. It defines the model’s structure.