TinyML with Wio Terminal

Course introduction

Learn how to train and deploy deep neural network models on Cortex-M core microcontroller devices from Seeed studio. Course content features seven detailed step-by-step projects, that will allow students to grasp basic ideas about modern Machine Learning and how it can be used in low-power and footprint microcontrollers to create intelligent and connected systems. 

Course category 

Minimum age of students: 12+

Planned number of classes: 16

Duration of a single lesson: 45 mins

Curriculum requirements: Basic knowledge of Arduino IDE and C++

Media required for the course: (final delivered document content)

• Teaching content PDF: Yes

• Teaching content PPT slides: No

• Source code: Yes

• Publish on M2L: Possibly

• Other: None