AI / ML : Celebrating a Tiny Success

 So, here I am -feeling blissful after completing a ML certificate course from Coursera  -  ready and eager to relax myself with a long drive in the evening (after all its a Sunday).

During last week, I had invested some time studying about the challenges in data quality and was brooding a bit why Mr.Andrew NG did not cover these things in the other ML/ Deep Learning courses that I have been taking up quite systematically from the same academy.

For me, it was a pleasant surprise to have some of the issues of data quality were addressed in this course - which is relatively smaller compared to other courses that I had underwent recently from Coursera - nevertheless, most enriching.

First thing first, this course is not about algorithms, python and its omnipotent libraries like pytorch / tensorflow or any other theoretical framework of AI/ML. It talks about the practical wisdom while implementing ML projects and fittingly the assessment towards the end of both modules only ask questions on practical decisions.

I should say I had a disdain to start off this course though I finished my earlier course on Deep learning / Neural networks was completed during last week of Apr 2025 itself. I had been pushing off this module with a thought that it might turn out to be superficial and uninteresting. On the contrary, the entire week had turned out to be quite gripping and keeping me hooked to the course and provided a lot of practical tips and tested processes.

Should a  person like me - having no domain knowledge - take up this course as the first one in AI/ML - my answer will be a clear NO.

I feel quite sincerely that I would not have understood this course as much as I have now - without the time invested to understand AI / ML in a structured manner during the past several months. As the course title itself says = "Structuring" ML projects, this course essentially helps us to structure our overall understanding.

Well, do you like the cherry on the top of Ice cream in a fruit salad ? 

I like it so much and liked this one too.....!!