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AI in Computer Vision for Images, Video, and Real-World Applications (Level 3)
This practical, hands-on course introduces participants to the fundamentals of computer vision for image and video analysis. It covers the key stages of building intelligent vision systems, from digital image fundamentals and feature detection to deep learning with Convolutional Neural Networks (CNNs) and transfer learning. Participants will explore object detection, video tracking, and real-world applications such as defect inspection, safety monitoring, and automation. The course includes guided mini-projects where learners apply AI models to real data using standard tools and frameworks. By combining theory, coding exercises, and case studies, participants will gain the confidence to design and prototype computer vision solutions that address real organizational challenges and align with Industry 4.0 transformation goals.
Open to graduates from engineering, computer science, data analytics, or related disciplines, as well as working professionals seeking to apply Artificial Intelligence in industrial or research contexts. Ideal for engineers, technical staff, software developers, and data scientists who wish to enhance their skills in image and video analytics, as well as researchers and educators involved in AI, robotics, or smart system development.
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