Added the exercises as per Marcelo's recommendation

embedded_ml.qmd

@@ -229,4 +229,17 @@ In this chapter, we've offered a panoramic view of the evolving landscape of emb
 
 Each approach comes with its own set of trade-offs, including model complexity, latency, privacy, and hardware costs. Over time, we anticipate a convergence of these embedded ML approaches, with cloud pre-training facilitating more sophisticated edge and tiny ML implementations. Advances like federated learning and on-device learning will also enable embedded devices to refine their models by learning from real-world data.
 
-The embedded ML landscape is in a state of rapid evolution, poised to enable intelligent applications across a broad spectrum of devices and use cases. This chapter serves as a snapshot of the current state of embedded ML, and as algorithms, hardware, and connectivity continue to improve, we can expect embedded devices of all sizes to become increasingly capable, unlocking transformative new applications for artificial intelligence.
+The embedded ML landscape is in a state of rapid evolution, poised to enable intelligent applications across a broad spectrum of devices and use cases. This chapter serves as a snapshot of the current state of embedded ML, and as algorithms, hardware, and connectivity continue to improve, we can expect embedded devices of all sizes to become increasingly capable, unlocking transformative new applications for artificial intelligence.
+
+## Exercises
+
+Now would be a great time for you to try out a small computer vision model out of the box.
+
+::: {.callout-note collapse="true"}
+## Nicla Vision
+
+If you want to play with an embedded system, try out the Nicla Vision
+
+[Computer Vision](./embedded_ml_exercise.qmd)
+
+:::

embedded_sys.qmd

@@ -380,6 +380,13 @@ As we gaze into the future, it's clear that the realm of embedded systems stands
 
 ## Exercises
 
-coming soon.
+Now would be a great time for you to get your hands on a real embedded device, and get it setup. 
+
+::: {.callout-note collapse="true"}
+## Nicla Vision
+
+If you want to play with an embedded system, try out the Nicla Vision
 
 [Setup Nicla Vision](./embedded_sys_exercise.qmd)
+
+:::