Master Introduction to Computer Vision in 4 weeks through hands-on, project-based online training with DSTC.
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. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
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.
1. Translate Artificial Intelligence theory into practical, reproducible analysis.
2. Assemble a documented case study that evidences your applied capability.
β’ Master's and senior undergraduate students specializing in Artificial Intelligence
β’ R&D engineers and working professionals applying Artificial Intelligence in industry
β’ Academics and educators building research or teaching capacity in Artificial Intelligence
β’ A demonstrable Artificial Intelligence project for your research or industry portfolio.
β’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
What is Computer Vision? β’ Importance of Visual Data in AI β’ Applications of Computer Vision β’ Difference Between Human Vision and Computer Vision
What is an Image in Digital Form? β’ Pixels, Resolution, and Image Structure β’ Introduction to Image Data β’ Basic Image Representation Concepts
Image Processing Basics β’ Pattern Recognition Concepts β’ Introduction to Object Detection β’ Examples of Computer Vision Tasks
Computer Vision in Healthcare: Medical Imaging β’ Face Recognition and Security Systems β’ Self-Driving Cars and Automation β’ Computer Vision in Retail and Industry
Emerging Trends in Computer Vision β’ Introduction to Deep Learning for Vision β’ Career Opportunities in AI and Vision β’ Mini Learning Activity / Concept-Based Practice
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Computer Vision |
| Covered Tool / Platform | Image Processing |
| Covered Tool / Platform | Object Detection |
| Covered Tool / Platform | Pattern Recognition |
| Covered Tool / Platform | Basic Python |
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