One of the determining factors why tinyML is worth considering – its availability. Thanks to the latest solutions, users can automatically create extremely compact models and embed them into the smallest units of hardware in 3 clicks, even if they are not proficient in data science.

Day 1: Panel Discussion
The industry leaders will explain why tinyML is an essential technology to adopt as well as what trends and innovations are awaiting us in 2022. Plus, we’ll share real use cases on how a revolutionary approach to creating extremely small ML models without coding will be presented during the session.

Days 2-4: Practical Sessions
Together with our data science tutors, you will practice:
✅ how to start building machine learning models of optimal size and accuracy
✅ how to embed them into microcontrollers and other edge devices
✅ how to successfully perform on-device analytics at extremely low power

Upon completion, you’ll be able to create a tinyML model manually and by using a no-code platform.

You also will have a chance to participate in a DS competition. On the final day of our workshops, we’ll announce the winners and award them with valuable prizes from Neuton and Packt.

Don’t miss our very first tinyML edition of AI Talent Lab in 2022!