Artificial Intelligence
Specialization

Saudi students and recent graduates in Saudi universities majoring in science and/or technology relevant fields.

By signing up and completing the prerequisite (online) courses via Coursera.

The program is currently offered with a full scholarship for talented students at all Saudi universities.

No, this training program is catered to Saudi students and recent graduates in Saudi universities to well prepare them for the ideal career opportunities in the Kingdom and/or abroad.

Absolutely. The course emphasizes practical programming and covers foundational concepts that are applicable to real-world AI solutions.

(Stage one) Prerequisite online course is self-paced, suggested completion time is 3 to 5 weeks.

(Stages 2, 3, and 4) Introduction, Advanced, and Summer Program) are full day in-person training and instructor-paced. They will will take place during university breaks.

To qualify for the placement test, you are required to successfully complete only the pre-requisite course(s) which are auto-enrolled to your access upon joining Coursera.

Yes, participants who successfully complete the online course(s) and/or the in-person courses will receive a certificate of completion to showcase their newfound knowledge and skills at each stage.

The program consists of four stages with assessment after each stage to get qualified to the following one. Top performing students will be selected to advance further until they successfully reach the summer program.

Students who successfully complete the pre-requisite courses on Coursera will be already benefited from this program even if they do not get selected to the second stage.

Do not forget that you have free access to over 200 courses, specialization, guided projects, and more through the KAUST Academy/Coursera license.

We strongly recommend that you enroll, complete and earn free certificates for as many courses as you like, during the entire period of the program.

1. Question: In Python, if you create a new list b as a clone of list a using slicing (b = a[:]), which of the following statements is true?
   1. a and b are the same list, and any modification to a will also reflect in b.
   2. a and b are different lists, but they share the same memory address.
   3. a and b are different lists, and modifications to b do not affect a.
   4. a and b are different lists, but modifications to a will still affect b.

Answer: C

2. Question: The Hessian matrix of a function f(x, y) is a matrix of:
   1. First partial derivatives of f with respect to x and y
   2. Second partial derivatives of f with respect to x and y
   3. Mixed partial derivatives of f with respect to x and y only
   4. Derivatives of f with respect to time

Answer: B

3. Question: Which line correctly writes a list athlete = [“John”, 28, “Basketball”] as a CSV row?
   1. write(“,”.join(athlete) + “\n”)
   2. write(“,”.join([str(item) for item in athlete]) + “\n”)
   3. write(“Name, Age, Sport\n” + athlete + “\n”)
   4. writelines(“,”.join(athlete))

Answer: B

4. Question: If class Dog inherits from class Animal, which of the following statements is true?
   1. Dog can access all methods and attributes of Animal.
   2. Animal can access all methods and attributes of Dog.
   3. Instances of Animal can call methods defined only in Dog.
   4. Dog and Animal have no relationship unless explicitly specified in each method.

Answer: A

5. Question: If the correlation coefficient between two variables X and Y is -0.85, which of the following is true?
   1. X and Y have a strong positive relationship.
   2. X and Y have a weak negative relationship.
   3. X and Y have a strong negative relationship.
   4. There is no relationship between X and Y.

Answer: C

6. Question: Given two lists, names = [“Alice”, “Bob”, “Charlie”] and ages = [25, 30], what will list(zip(names, ages)) return?
   1. [(“Alice”, 25), (“Bob”, 30), (“Charlie”, None)]
   2. [(“Alice”, 25), (“Bob”, 30), (“Charlie”, 0)]
   3. [(“Alice”, 25), (“Bob”, 30)]
   4. [(“Alice”, 25), (“Bob”, 30), (“Charlie”, “Unknown”)]

Answer: C, Explanation: zip stops at the shortest list, so “Charlie” is ignored.

7. Question: Which feature scaling method is equivalent to calculating the z-score (standardizing to have mean 0 and standard deviation 1)?
   1. Min-max scaling
   2. Robust scaling
   3. Standard scaling
   4. None of the above

Answer: C

8. Question: Why is the characteristic equation of a matrix important in linear algebra?
   1. It determines if a matrix is invertible.
   2. It is used to calculate the eigenvalues of the matrix.
   3. It finds the trace of the matrix.
   4. It checks if the matrix is symmetric.

Answer: B

9. Question: You have a DataFrame df with columns [‘Category’, ‘Sales’]. Which command will give the average Sales for each unique Category?
   1. groupby(‘Category’).mean()
   2. groupby(‘Category’)[‘Sales’].mean()
   3. groupby(‘Category’)[‘Sales’].average()
   4. groupby(‘Category’).count()

Answer: B

10. Question: In the following code snippet, why is random_state specified?
    from sklearn.model_selection import KFold
    kf = KFold(n_splits=5, shuffle=True, random_state=42)
    1. To control the number of splits.
    2. To ensure reproducibility of the split results.
    3. To increase the number of training samples in each split.
    4. To shuffle the data 42 times before giving it to the user, which would make data better.

Answer: B

11. Question: Which of the following is NOT an optimizer commonly used in training neural networks?
    1. Adam
    2. RMSprop
    3. SoftMax
    4. Gradient Descent

Answer: C