Explore computer vision techniques and deep learning models used for image recognition, object detection, facial recognition, and video analytics. Gain practical experience using TensorFlow, OpenCV, and convolutional neural networks (CNNs). 
Learning Outcomes
- Process and analyze digital images
- Build CNN models
- Develop image classification systems
- Implement object detection
- Deploy computer vision applications
Curriculum
- 1 Section
- 9 Lessons
- 8 Weeks
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- Computer Vision & Deep Learning Essentials: Image Recognition, Object Detection & AI Vision Systems9
- 1.1Lesson 1: Introduction to Computer Vision and Deep Learning
- 1.2Lesson 2: Digital Images, Image Processing, and Data Preparation
- 1.3Lesson 3: Fundamentals of Deep Learning for Computer Vision
- 1.4Lesson 4: Convolutional Neural Networks (CNNs)
- 1.5Lesson 5: Image Classification and Recognition Systems
- 1.6Lesson 6: Object Detection and Image Segmentation
- 1.7Lesson 7: Advanced Computer Vision Applications
- 1.8Lesson 8: Model Optimization, Deployment, and Edge AI
- 1.9Lesson 9: Responsible AI Vision Systems and Future Trends
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