Computer Vision with TinyML (Edge AI + CNNs) | Deploy Machine Learning on Microcontrollers Devices скачать в хорошем качестве

Computer Vision with TinyML (Edge AI + CNNs) | Deploy Machine Learning on Microcontrollers Devices

🚀 Master Computer Vision + Embedded Machine Learning (TinyML) and take your AI skills to the next level! This course, created in collaboration with Edge Impulse, OpenMV, Seeed Studio, and the TinyML Foundation, teaches you how to build real-world computer vision applications and deploy them on low-power embedded devices. What you’ll learn in this course: ✅ Fundamentals of Computer Vision (CV) – how machines interpret images & video ✅ Deep dive into Convolutional Neural Networks (CNNs) for image classification & object detection ✅ Training, inference, and deployment of ML models on microcontrollers & SBCs ✅ Hands-on projects with Edge AI tools & frameworks ✅ The future of AI at the edge (TinyML) – ultra-fast, efficient, and low-power solutions 👨‍💻 Who is this for? AI & ML enthusiasts Developers working on IoT & Edge AI projects Students & researchers in AI, Robotics, and Embedded Systems Anyone curious about how AI meets hardware 🌍 📌 Recommended Skills: Python basics 🐍 Familiarity with ML concepts (neural networks, training, evaluation) Interest in embedded systems & edge computing 💡 This course is your gateway to the future of AI — where machines see, understand, and act locally without relying on cloud computing! 🔔 Subscribe for more tutorials on AI, AR/VR, Robotics, and Edge Computing 👍 Like & Comment your favorite part of the course 📢 Share this with friends passionate about AI & Embedded Machine Learning 📌 Hashtags & SEO Keywords #ComputerVision #TinyML #EdgeAI #MachineLearning #EmbeddedSystems #EdgeImpulse #CNN #ArtificialIntelligence #AIoT #ObjectDetection #ImageClassification #OpenMV #SeeedStudio #TinyMLFoundation