Build intelligent vision systems with Python, machine learning, deep learning and AI
Master the foundations of Computer Vision, Machine Learning and Artificial Intelligence through practical, engineering-focused projects.
This course takes you from the fundamentals of image processing and machine learning to building intelligent vision systems capable of classification, object detection and automated decision-making.
You will work with Python and industry-standard AI tools to process images, train machine-learning models, build neural networks and develop practical computer-vision applications.
What you will learn
• Python fundamentals for AI and computer vision
• Image processing with OpenCV
• Data preparation, feature engineering and model evaluation
• Supervised and unsupervised machine learning
• Neural networks and deep learning
• Convolutional Neural Networks (CNNs)
• Image classification
• Object detection and tracking
• Real-time computer vision
• AI model evaluation and optimization
• Deployment of AI models in practical applications
• Industrial inspection and automation use cases
Practical Projects
Throughout the course, you will build progressively more advanced projects, including image classification, object detection, real-time vision systems and an industrial inspection application.
Who is this course for?
This course is designed for engineering students, automation engineers, robotics enthusiasts, developers and technical professionals who want to develop practical AI and computer-vision skills.
No previous AI experience is required, although basic programming knowledge is recommended.
By the end of the course, you will be able to design, train, evaluate and deploy basic AI and computer-vision solutions for real-world engineering and automation applications.
