Duration: 30 mins. 25 mins of slides, and 5 mins Q&A.

Content: The audience would be exposed to the following ML for IoT tools and hardware:

1. TensorFlow Lite for Microcontrollers Link and TFHub Link.
2. Netron NN model visualizer Link.
3. Arduino IDE with necessary ML libraries.
4. STM32f103c8 Blue Pill: ARM Cortex-M0 @72MHz, 128KB Flash, 20KB SRAM Link.
5. Generic ESP32: Xtensa LX6 @240MHz, 4MB Flash, 520KB SRAM Link.

Outcome: The audience will understand the basics that can be leveraged throughout the tutorial.