Come take this course with me! It's designed to teach you how to harness the power of AI on the reComputer AI R2130-12.
This course is designed to teach you how to harness the power of AI on the Raspberry Pi, with a focus on using an AI kit to perform computer vision tasks. You'll learn how to integrate AI into real-world IoT applications, from object detection and image classification to more complex visual recognition tasks.
iT will guide you step-by-step through setting up your Raspberry Pi, using AI frameworks, and deploying these models in various practical scenarios.
Here is a clear outline of the lessons/steps from the Seeed-Projects “Tutorial of AI Kit with Raspberry Pi From Zero to Hero” course. This is structured for you to take your own notes under each heading.
Tutorial of AI Kit with Raspberry Pi From Zero to Hero — Course Outline
Chapter 1: Introduction to AI Concepts- Introduction of Artificial Intelligence
- Introduction of Deep Neural Network
- Introduction of Convolutional Neural Network
- Introduction of Computer Vision
- Introduction of Large Language Model
- Introduction to PyTorch in Raspberry Pi Environment
- Introduction to TensorFlow in Raspberry Pi Environment
- Introduction to OpenCV in Raspberry Pi Environment
- Introduction to Ultralytics in Raspberry Pi Environment
- Introduction to Hailo in Raspberry Pi Environment
- Running AI Tasks with Hailo — With AI Kit
- Deploying Custom AI Models Across Applications with Hailo NPU
- Run Clip Application with Hailo NPU
- Setup Ollama on Raspberry Pi
- Run Llama on Raspberry Pi
- Run Gemma2 on Raspberry Pi
- Run Phi3.5 on Raspberry Pi
- Run Multimodal on Raspberry Pi
- Use Ollama with Python
- Training
- Converting
- Deploying
- Smart Retail with reComputer R11 and AI Kit
- Hailo-Powered Car Park Management with ThingsBoard
I can now fill in MY notes and add details as I complete each lesson in the course.
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