Advanced Certificate in Artificial Intelligence in the Digital Economy Module 4: Computer Vision and Image Recognition Technologies
About This Course
This module provides an in-depth exploration of computer vision and image recognition technologies within the context of artificial intelligence. Participants will gain a comprehensive understanding of the underlying principles, algorithms, and applications of computer vision, including object detection, image classification, and semantic segmentation. The module also covers advanced topics such as deep learning architectures for visual recognition, convolutional neural networks (CNNs), and transfer learning techniques. Practical hands-on exercises using popular frameworks like TensorFlow or PyTorch will enable participants to develop skills in implementing computer vision solutions for real-world problems. Additionally, ethical considerations related to the use of computer vision technology will be discussed to ensure that participants are equipped with a holistic perspective on its societal impact.
What You'll Learn
• Understand the fundamental principles and techniques of computer vision and image recognition technologies, including feature extraction, object detection, and image classification
• Develop proficiency in using popular computer vision libraries and frameworks such as OpenCV, TensorFlow, and PyTorch to implement image processing algorithms and build deep learning models for image recognition
• Analyse real-world applications of computer vision in various industries such as healthcare, automotive, retail, and security to identify opportunities for leveraging these technologies in digital economy solutions
• Evaluate the ethical considerations related to the use of computer vision technologies in the digital economy, including privacy concerns, bias mitigation strategies, and responsible deployment practices
• Demonstrate practical skills by completing hands-on projects that involve designing and implementing computer vision solutions for specific business challenges within the context of the digital economy
Entry Requirements
Nil