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DSTC-A12 Online (e-LMS) Advanced Postgrad

Introduction to Computer Vision

by - DSTC

Master Introduction to Computer Vision in 4 weeks through hands-on, project-based online training with DSTC.

β˜…β˜…β˜…β˜…β˜… Be the first to review β€’ 4 Weeks Β· 40 hrs β€’ e-Certificate Included
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From β‚Ή200 + GST

Programme Parameters

Educational Level:
Advanced Postgrad
Duration & Workload:
4 Weeks (40 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
β€’ Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
β€’ A laptop or desktop with a stable internet connection.
β€’ Willingness to complete assignments and the capstone project.

About This 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. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

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.

πŸ“‹ Course Objectives

1. Translate Artificial Intelligence theory into practical, reproducible analysis.
2. Assemble a documented case study that evidences your applied capability.

πŸ‘₯ Who Should Enroll?

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

πŸš€ Key Learning Outcomes

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.

πŸ’Ž What You'll Gain

πŸŽ₯

Live & Recorded Sessions

Lifetime access to class recordings
πŸŽ“

e-Certificate on Completion

Cryptographically verified credential
πŸ’¬

Post-Programme Support

Direct access to mentors & council
πŸ’»

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Outline

Introduction to Computer Vision

What is Computer Vision? β€’ Importance of Visual Data in AI β€’ Applications of Computer Vision β€’ Difference Between Human Vision and Computer Vision

Module 2 Outline

Understanding Images and Data

What is an Image in Digital Form? β€’ Pixels, Resolution, and Image Structure β€’ Introduction to Image Data β€’ Basic Image Representation Concepts

Module 3 Outline

Basic Computer Vision Techniques

Image Processing Basics β€’ Pattern Recognition Concepts β€’ Introduction to Object Detection β€’ Examples of Computer Vision Tasks

Module 4 Outline

Applications of Computer Vision

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

Module 5 Outline

Future Scope and Next Steps

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

Technical Specifications

ParameterRequirement
Covered Tool / PlatformComputer Vision
Covered Tool / PlatformImage Processing
Covered Tool / PlatformObject Detection
Covered Tool / PlatformPattern Recognition
Covered Tool / PlatformBasic Python

Frequently Asked Questions

Yes. This is a free online self-paced course designed for beginners.

No. This course focuses on basic concepts and does not require prior coding experience.

You will learn how images are processed, how object detection works, and how computer vision is applied in real-world scenarios.

Students, beginners, and professionals from any background interested in AI can join.

Yes. Learners receive an e-Certification after completing the course.

Computer vision is a field of artificial intelligence that helps computers interpret, analyze, and understand visual data such as images and videos.

The Introduction to Computer Vision course is designed as a 2–3 week online self-paced course.

Yes. The course introduces object detection as one of the key computer vision techniques used in real-world AI applications.

Yes. This course provides a beginner-friendly foundation in image processing, pattern recognition, and visual data analysis before moving into advanced deep learning for computer vision.

The course explains images, pixels, object detection, image processing, and real-world applications using simple language without requiring prior coding or computer vision knowledge. The Introduction to Computer Vision course provides a simple and structured foundation in how machines interpret visual data. It helps learners understand image processing, object detection, and real-world applications, making it an ideal starting point for advanced AI and deep learning in computer vision.

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