Edge AI for Computer Vision Training in USA

This course provides hands-on training in using Edge AI for computer vision applications, focusing on deploying vision-based AI models on resource-constrained edge devices. Participants will explore real-time image and video processing, object detection, face recognition, and model optimization for hardware like Raspberry Pi, Jetson Nano, and mobile devices.

Welcome to the official Edge AI for Computer Vision Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in USA. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

• Basic understanding of AI/ML and computer vision
• Familiarity with Python programming
• Optional: Experience with TensorFlow, PyTorch, or OpenCV

• Understanding computer vision workflows in Edge AI
• Building and optimizing models for edge devices
• Running real-time vision models on hardware
• Using tools like TensorFlow Lite, OpenVINO, or Jetson SDK
• Creating efficient edge applications with cameras and sensors

By the end of the training, participants will be able to develop, optimize, and deploy computer vision models on edge devices, achieving real-time performance for various applications such as surveillance, smart devices, industrial automation, and more.