Hi!
If you are taking the course as a professional certification then you should have course materials accessible to you for as long as you have an edX login.
Drop me a direct message otherwise. Happy to provide another suggestion.
Hi!
If you are taking the course as a professional certification then you should have course materials accessible to you for as long as you have an edX login.
Drop me a direct message otherwise. Happy to provide another suggestion.
A bad review in my opinion. I believe the courses and instructors achieved in teaching all the tasks mentioned in the âWhat you will learn?â section here. About the pacing, Even I felt the pacing was a little slow and lectures were a little repetitive as I already completed my undergraduate but the spectrum of learners are unevenly distributed so I feel it was well-paced addressing language barrier, age barrier, etc. But I also understand where you are coming from since you are already well versed in Machine Learning and you are a doctorate.
Also couple of things you missed in the reviewâŠ
Personally, this course helped me tremendously in conversing with potential supervisors for my graduate studies.
InterestingâŠ
I donât recall having contradicted any of your statements in my review.
Those were all covered in the short section entitled âThe Goodâ.
And, partly, also in the TL;DR summary.
BUT, like so often, a lot has to do with expectations and interpretations.
I did have much higher expectations on course 3.
For points 2-5 on that âWhat you will learn?â list, I have no problem with the theory, but I definitely expected more challenging and hands-on practical sessions than simply changing a few variables in a notebook on Colab or pasting hexcode for models in the Arduino IDEâŠ
That said, Iâm looking forward to a fourth course, if one is indeed in the works.
AND, I also learned heaps. I donât think auditing these courses was a waste of time.
@tiny-ml Thank you for sharing your candid feedback. Your review is excellent!
I encourage all of us to be transparent and share feedback candidly. Constructive criticism, such as what @tiny-ml has provided, is always helpful. It is an opportunity to learn and do things better! I already see room for improvements in Course 4 through the lens of what @tiny-ml has shared.
@vineetrao25, thank you for your support. We appreciate it. As you correctly point out, reaching a broad audience is always challenging, especially given the breadth of experience and expertise. Everyone comes in with different expectations, and meeting those expectations is a tough challenge. We have folks who have never touched Colab/TF etc. We have folks who have ML background and are just curious about whatâs special about TinyML, etc. So one can imagine the challenge of trying to meet the needs of a class that, as of today, stands at 35,000 learners.
These sorts of discussions are great to have. Itâs how we get better. Push me to push you further; I love a good challenge. Letâs see what we can all do together.
again to @tiny-ml and @vineetrao25 for giving us an opportunity to have a constructive dialogue.
Hi could I know if and when this Program will repeat after Oct 27th?
Iâve finished the first course with a certificate and I am contemplating completing the 2nd course as well but I definitely wonât be able to finish the 3rd course before the 27th of Oct so my worry is Iâll finish 2 courses and not the get the professional certificate because the program wonât repeat.
All of the courses are self paced and so you can start them at any time!