Computer Vision with AI

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35 hours 5 Enrolled 4.5 (4) Intermediate

Computer Vision with AI – Teach Machines to See and Understand Images

Discover the fascinating world of Computer Vision and learn how Artificial Intelligence enables machines to analyze, interpret, and understand visual data. This hands-on course is designed for students, developers, AI enthusiasts, data scientists, and professionals who want to build intelligent systems capable of recognizing objects, detecting faces, processing images, and extracting valuable information from videos and photographs.

You will learn the fundamentals of image processing, object detection, image classification, facial recognition, Optical Character Recognition (OCR), and Deep Learning techniques using industry-standard tools such as Python, OpenCV, TensorFlow, and YOLO. Through practical projects and real-world applications, you will gain the skills required to develop modern Computer Vision solutions used in healthcare, security, retail, autonomous vehicles, manufacturing, and smart cities.

Whether you are starting your journey in Artificial Intelligence or expanding your AI expertise, this course will provide the knowledge and practical experience needed to build powerful Computer Vision applications and advance your career in one of the fastest-growing fields of technology.

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$1,500.00 $2,100.00

What's included

  • Standard Training
  • Duration: 8–10 Weeks
  • Classes: 2 Sessions per Week
  • Total Training Hours: 40–50 Hours
  • Weekend Program
  • Duration: 10–12 Weeks
  • Total Training Hours: 50–60 Hours
  • One-to-One Training
  • Duration: 5–6 Weeks
  • Flexible Schedule
  • Total Training Hours: 30–35 Hours

What Will I Learn?

  • ✅ Understand Computer Vision Fundamentals
  • ✅ Build AI-Powered Image Recognition Systems
  • ✅ Develop Object Detection and Tracking Applications
  • ✅ Create Facial Recognition Solutions
  • ✅ Extract Text Using OCR Technologies
  • ✅ Work with OpenCV, TensorFlow, and YOLO
  • ✅ Complete Real-World Computer Vision Projects

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