| Attribute | Detail |
|---|---|
| Format | Online, self-paced course |
| Level | Basic / Beginner |
| Duration | 2–3 Weeks |
| Certification | e-Certification |
| Fee | ₹199 / $20 |
| Tools | Computer Vision Image Processing Object Detection Pattern Recognition Basic Python |
About the Introduction to Computer Vision Course
The Introduction to Computer Vision course is a free, beginner-friendly self-paced program designed to help learners understand how computers interpret and analyze visual data such as images and videos.
The course introduces key concepts such as image processing, pattern recognition, object detection, and visual data analysis. Learners will explore how computer vision is used in real-world applications like facial recognition, medical imaging, self-driving cars, and surveillance systems. This course is ideal for beginners who want to understand how AI works with visual information.
Program Highlights
• Free beginner-level computer vision course
• Online self-paced learning format
• Simple explanation of image and video analysis concepts
• Covers object detection, image processing, and pattern recognition
• Real-world examples from healthcare, security, and technology
• Suitable for students and first-time learners
• e-Certification upon successful completion
Course Curriculum
Module 1: Introduction to Computer Vision
- What is Computer Vision?
- Importance of Visual Data in AI
- Applications of Computer Vision
- Difference Between Human Vision and Computer Vision
Module 2: Understanding Images and Data
- What is an Image in Digital Form?
- Pixels, Resolution, and Image Structure
- Introduction to Image Data
- Basic Image Representation Concepts
Module 3: Basic Computer Vision Techniques
- Image Processing Basics
- Pattern Recognition Concepts
- Introduction to Object Detection
- Examples of Computer Vision Tasks
Module 4: Applications of Computer Vision
- Computer Vision in Healthcare: Medical Imaging
- Face Recognition and Security Systems
- Self-Driving Cars and Automation
- Computer Vision in Retail and Industry
Module 5: Future Scope and Next Steps
- Emerging Trends in Computer Vision
- Introduction to Deep Learning for Vision
- Career Opportunities in AI and Vision
- Mini Learning Activity / Concept-Based Practice
Tools, Techniques, or Platforms Covered
Computer Vision Image Processing Object Detection Pattern Recognition Basic Python
Real-World Applications
- Understanding how facial recognition systems work
- Exploring computer vision in medical imaging and diagnostics
- Learning how self-driving cars detect objects and surroundings
- Using image analysis in security, retail, and automation
- Preparing for advanced learning in AI, deep learning, and computer vision
Who Should Attend & Prerequisites
- This course is suitable for students, beginners, freshers, and professionals who want to understand how computers analyze images and videos.
- It is also useful for learners from engineering, computer science, data science, electronics, robotics, and non-technical backgrounds interested in AI.
Certification
