1. Please describe briefly your starting point. What was your level of knowledge in ML? What was the goal of taking the course?

1. Please describe briefly your starting point. What was your level of knowledge in ML? What was the goal of taking the course?

2. Which results have you obtained at the end of the course? What was the most important one? Are you happy with your results?

2. Which results have you obtained at the end of the course? What was the most important one? Are you happy with your results?

Participant of the SCRUM And SCRUM MASTER COURSE

Participant of the Machine Learning Course

I was new to SCRUM. My goal was to broaden my knowledge and to use this knowledge in the future. This is a good starting point to dive in. I've heard some stories from my colleagues, I started to read a book about SCRUM but nothing beats real-world examples and hands-on experience. And the best part is you can always ask questions, anytime! Getting into a discussion, not a problem. Share your point of view, not a problem. It's not the standard course experience and that's why I liked it.

At the very beginning, I knew only the bare theoretical basics of Machine Learning: The general purpose and how ML models were created.
My goal was to gain knowledge and experience, especially because the very name Machine Learning suggested something daunting.

And IAMAI exceeded every expectation.

All in all, I'm extremely satisfied with the results.

The most important result was that I made new connections through the interactions in the course as we had a number of group assignments. Connections in the industry are always a plus. People say that you can't collaborate on the same level with new colleagues as with the old ones but SCRUM proved me wrong. After you get the hang of the basics and you have an opportunity to try them out first hand you get to see the magic behind it. After that everything is straightforward.

I've greatly expanded my knowledge of Machine Learning and its various applications.
The most important result is the knowledge that I have gained and the increased confidence in my abilities to create functional Machine Learning models.