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.
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For a slightly less glamorous -but still fair- perspective, check out my brief review.
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
- AMA session was held for the sole purpose of interacting with the learners and the second one is being held on April 13.
- Also course 4 is coming in the future and as mentioned by the instructors it will be about Advanced TInyML.
Personally, this course helped me tremendously in conversing with potential supervisors for my graduate studies.
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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.
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@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.
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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! 
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Applications Of TinyML Course
This is a great class, @vjreddi ! The Colabs are not working at this time, however. The code tries to install TensorFlow 2.10 on the first lab cell but 2.10 is no longer available. The current of TensorFlow version 2.18 does not work with the code as defined in the Colabs. Does anybody know of a work around? Thanks