Introduction to Computer Vision AI
Course Overview
This course provides a comprehensive introduction to the dynamic field of Computer Vision AI. The curriculum begins with the history of computer vision and the fundamentals of how AI models are trained to interpret visual data. Students will then explore a wide range of core capabilities, including image classification, object detection, facial recognition, and spatial analysis. Finally, the course will cover the real-world application of these technologies through industry use cases, while also examining the critical importance of responsible and ethical AI, data governance, and emerging career paths in the field.
Course Topics
Intro to Computer Vision AI
Computer Vision History
Overview of CV AI Models
Model Training Process
Data Prep for Model Training
How Computer Vision AI Works
Overview of CV AI Capabilities
CV AI Industry Use Cases
Responsible and Ethical CV AI
Computer Vision AI Governance
OCR and ICR
Feature Extraction
Image Classification
Object Detection
Spatial Analysis
Image Segmentation
Facial Recognition
Emerging Trends in CV AI
Leading CV AI Platforms
Careers in Computer Vision AI
