Question 1

1.	Do I need Python experience to attend?

Accepted Answer

Yes, a solid understanding of Python programming is required.

Question 2

2.	Will this course cover deep learning in detail?

Accepted Answer

No, only introductory concepts will be covered, but it builds a foundation for further study.

Question 3

3.	Do we get hands-on experience?

Accepted Answer

Yes, the course includes practical code exercises and real datasets.

Question 4

4.	Does the course include data preprocessing techniques?

Accepted Answer

Yes, essential feature engineering and data cleaning steps are included.

Question 5

5.	Can I use this knowledge for real projects?

Accepted Answer

Yes, you will learn practical workflows and tools to apply directly in projects.

Question 6

6.	Which machine learning tools will we use?

Accepted Answer

Primarily scikit-learn, along with introductions to TensorFlow/Keras.

Question 7

7.	Is this course beginner-friendly in ML?

Accepted Answer

It’s ideal for those with Python knowledge but new to ML and AI workflows.

Question 8

8.	Is there a certification?

Accepted Answer

Yes, a Course Completion Certificate is provided.

Question 9

9.	Will we learn about model optimization?

Accepted Answer

Yes, tuning models and evaluating performance is part of the agenda.

Question 10

10.	Can this be customized for corporate teams?

Accepted Answer

Absolutely, we offer fully tailored content for team requirements.

Question 11

11. What is the refund policy?

Accepted Answer

You  are eligible to request a refund up to 7 days before the event.

AI & Machine Learning Using Python: 1 Day Session in Kelowna