๐Jumpstart your
@Raspberry_Pi AI journey from basics to real-world deployment with our course - now available on GitHub!
bit.ly/3YQKhYF
It is designed into 6 chapters. Chapters 1 & 2 will cover the basics of
#AI and how to set up a
#Pi environment for AI applicationsโthat's what has been discussed a lot in the community! Then we can advance to the hands-on part in Chapter 3 to consolidate what we have learned via exploringย specificย tasksย like
#objectdetection,
#poseestimation, and
#segmentation.
Inย Chapterย 4,ย weย run some small language models on Raspberry Pi to exploreย itsย CPUย potential.ย But the real magic happens when you create your own AI models from scratch in Chapter 5! Train with your data, get it running on Pi, and watch your innovations come to life. It's meaningful for us to bring Raspberry Pi AI to real-world deployment.
Born from countless community discussions and real developer needs, this course is"๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ-๐๐ซ๐ข๐ฏ๐๐ง, ๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ-๐ฌ๐๐ซ๐ฏ๐ข๐ง๐ ". We're seekingย developers, makers, and anyone doing cool stuff with Pi AI. Come join us by contributing to Chapter 6. Let's learn and build together!
Essential tools needed:
๐ท Software Stack:
@ultralytics,
@TensorFlow,
@PyTorch,
@ollama,
#NodeRed,
@opencvlibrary,
@Hailo_ai,
#Frigate
๐ป Hardware Options:
โข reComputer R Series (
#CM4-based) -
bit.ly/3Uy0pMp
โข Hailo AI Kit (13/26 TOPS NPU)
#raspberrypiai #piai #AI #MachineLearning #computervision #edgeai #HailoRT #YOLO #mobilenet #resnet