Hi @danisam that sounds interesting. Do you have some resources to share that we can read about? Curious to learn more about how you are thinking of using TinyML & SIGFOX.
Hello @vjreddi , sure SIGFOX is an LPWAN public network already deployed in 70 countries , intended in connect the massive IOT with very low power needed to send the RF frame. my intention is to not only send sensor data but now valuable information output of TinyML. that way TiniML can reach remote areas and also ultra low power use cases.
Right now we want to improve this project to give legacy meters in remote areas a "real time " connectivity.
please give me an email and i will send you a spec of the technology.
There is also some information in the web page : News - WND Group
Kind regards
Hi everyone!
I’m Mateus from Brazil and I’m a doctor (Obs-Gyn) and Mechatronics Engineer. I work in healthcare analytics for public providers.
I’ve been attracted to this course (currently beginning Module 2 - Applications of TinyML) because of it’s potential application in processes and devices related do healthcare and wellbeing, Also I got excited by first lectures of Professor @vjreddi who showed a brand new world of possibilities to implement solutions in a different way.
I hope I could learn a lot from people here and contribute a little when possible.
Kindly,
Mateus
Welcome Mateus!
Have fun in course 2 and keep us posted on your progress, both here as it is suitable and in the edX forums.
Hi, everyone. My name is Silvio. I’m from Milan, Italy.
I’m starting the second course of the series.
I’m an independent professional with a mechanical engineering background. I have 30+ years of experience in the manufacturing industry. I work as project manager and consultant in industry 4.0 /digital transformation projects. I started deep diving into machine learning (and Python …) a year ago.
I share, with this great community, the belief that TinyML can play a huge role in process and product innovation.
I’m particularly excited about product design. TinyML, by embedding “intelligence”, can revolutionize any device.
I have some knowledge of Arduino I gained during a hands-on learning experience in a Fab Lab (Fab Academy). I definitely like to get my hands dirty ;-).
I am a nature lover and I enjoy spending my free time with my wife and kid at the seaside or in the alps. I love swimming, snorkeling, trekking and bicycling.
I’m pleased to join the forum. Happy conversation!
And since you love pictures, and Arduino, let me share this one.
It’s from Ivrea, in the north-west of Italy, where Arduino microcontrollers where developed.
Arduino was local nobleman elected king of Italy in the year 1002.
Ivrea is also home to a festival named “the battle of the oranges”.
It celebrates the liberation from a tyrant of the 13th century. Thousands of people, from the different districts of the city, engage in fierce battles throwing oranges. A must see!
No way – this is the first I’ve heard of it! Thanks for sharing ![]()
Hi! I’m Renan, from Santa Cruz de la Sierra, Bolivia.
I come from finishing the 3rd course of TinyMLx (auditing). I didn’t know this community existed since January… I would have joined before! I just found it at the end of course 3.
I’m a civil engineer with 3 years of experience, I learned Data science and python taking online courses a few years ago and co-founded a data science community in my city. Last year participated on a 3 month Data Science Bootcamp called DS4A / LatinAmerica. So basically I’m changing career path. By the time I’m working on my startup project for the construction industry using a jetson nano and computer vision – at least until I get a job in the tech industry or until I get funding, whichever comes first.
I haven’t get the TinyML kit yet, I’ll have to make it bring from the US, but followed all the material and saved it for later.
I see a lot of oportunity for TinyML in the manufacture and construction industry. And is an opportunity for developing countries like Bolivia to catch up in a field that have started basically 2 years ago! This could create new jobs and a whole new industry and I could be part of that.
I loved these courses. I was a professional musician for thirty five years and decided to go back to school to learn electrical engineering and how to design and build IoT devices. I started four years ago and have been taking classes the entire time. This was my favorite series of course because I can now create devices that use machine learning at their core. I finished the three courses and decided to take the 8 course Data Science courses because for some of my projects, the right data is easily available. Therefore, I have to use multiple data sources and join them together. Data Science knowledge really is a game changer for me.
Salut, je m’appelle Greg j’ai 48 ans et je suis originaire de Nouvelle Caledonie, j’adore bricoler et réparer tout ce qui est électronique depuis tout petit.
Je suis en train de développer deux logiciels avec l’aide d’ia. J’aimerais, après avoir fini ces logiciels, créer un robot conversationnel et relationnel pour aider les seniors, les personnes atteintes d’Alzheimer et les personnes isolés.
J’ai découvert les cours sur TinyML et ça correspond parfaitement avec mon futur projet. Je me forme au fur et à mesure à gauche et à droite, avec des IA et maintenant ici et je trouve ça super ce partage de connaissance, donc merci à vous.
Aujourd’hui, avec une connexion internet, du courage, du travail et de la persévérance, tout le monde peut pratiquement réussir un projet en partant de zéro.
Pendant mon temps libre, c’est film, série ou youtube et passer du temps avec les amies.
Hi all
I live in San Diego
Im a prompt engineer ![]()
My top areas of expertise is in Generative AI and Machine learning.
I have an appreciation for machine learning and feel I can benefit from this course.
I want to gain the knowledge necessary to eventually build a tiny machine.
I LOVE my cat storm
and coding in my spare time.
Hello everyone, my name is Nagaraj. I am a Data Engineer with 7+ years of experience in building Data Pipelines and Data warehouses.
I want to upskill myself in the field of AI/ML and apply that knowledge in my current profession to build better Data pipelines.
When I am browsing for good AI/ML courses which can get me started. I came across TinyML course by EDX and it looked awesome and kind of tapped that excited student in me, who is hungry for learning new things.
Looking forward to share thoughts and build projects together.
Hi everyone I am Shalomel undergrad mechatronics engineering second year . I’m from Kenya . I started taking an interest in TinyMl majorly because, I think it would be great to sort of merge it with what I am currently learning in mechatronics.
Hi, everyone am Doreen undergrad in my final year of my Electronics and Computer Engineering course. From Malawi. I have an interest in TinyMl so to understand how i can involve ML in embedded systems for my final year project.
Hello!
My name is Liria and I’m from Western Australia. I’m a 33 year old Mechatronics Engineering Student in my second year. I’m currently working in research with the Desert Fireball Network on classification of transient events and am exploring ML in the process. In my spare time I’m a swimming teacher and I like to enjoy food with friends, swim at the beach and lift some heavy things from time to time.
My current experience has been in data pipelines for ground station visualisation of telemetry in aerospace applications such as High Altitude Balloons and CubeSats, as well as being interested in applications of tinyML in biosecurity and prevention of the spread of invasive tree boring insects in my state.
I have been interested in software engineering for some time and my research and projects are naturally pointing me towards machine learning as well as it being in my future study plan as part of my degree. I hope to find all kinds of wonderful applications for it in my study and extracurricular projects. I hope to gain knowledge and inspiration from this community! I’m a little late!
Hi everybody,
my name is Peter Koellner, I am living in Barcelona in Spain now. I started programming computers around 1980, when you may have had something with less than the power of an Arduino as a desktop device, and after studies in Computer Science have been working in software development since 1994. I am currently broadening my professional range a bit by doing a set of online courses in AI, and this lead me to the TinyML courses on edx. I always liked the challenge of programming on small devices with restricted resources, and have experience with a lot of early ARM-powered devices, like the Acorn Archimedes (Arm2/3), Acorn RiscPC (StrongArm) and Raspberry Pi:
So I thought it might be very interesting to make machine learning techniques fly on microcontroller hardware. This field will develop of course - I guess that the capabilities of low power microcontrollers will also continue to grow as chip technology advances, and there may also be a new class of nano controllers at some point where the form factor shrinks even further. I am not quite sure yet what I will do with that professionally, I hope it results in some new opportunities. At least I will have some fun with the Arduino kit.
Regards
Peter Koellner
PS.: I have seen that there is a new session of the edx courses starting Feb 26. Should I wait with course 2 and 3 for them to start or are they more or less the same?
PPS: The welcome message video on top no longer works, the vimeo link is dead…

