Play your AI Kit from Beginner to Expert
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This course is designed to teach you how to harness the power of AI on the Raspberry Pi, with a particular focus on using an AI kit to perform essential computer vision tasks. Throughout the course, you'll learn how to integrate AI into real-world IoT (Internet of Things) applications, from object detection and image classification to more complex visual recognition tasks. We will guide you step-by-step through setting up your Raspberry Pi, using AI frameworks, and deploying these models in various practical scenarios. Whether you are a hobbyist, a student, or a professional, this course will provide you with the foundational knowledge and hands-on experience necessary to bring AI-driven solutions to life on resource-constrained devices like the Raspberry Pi.
Chapter 1: Introduction to AI
Chapter 2: Configuring the Raspberry Pi Environment
Chapter 3: Computer Vision Projects and Practical
Chapter 4: Large Language Model
Chapter 6: Raspberry Pi and AIoT
Introduction to Machine Learning with Python
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Programming Computer Vision with Python
Deep Learning for Computer Vision
Deep Learning for Natural Language Processing: Creating Neural Networks with Python
⏳ Indicates in progress, ✔️ indicates completed
[✔️] Training
[✔️] Converting
[⏳] Deploying
See the open issues for a full list of proposed features (and known issues).
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Distributed under the MIT License. See LICENSE.txt for more information.