Computer Vision with AI: Build Intelligent Image Applications

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Computer Vision with AI

Learn the fundamentals and advanced techniques of Computer Vision, including image processing, object detection, facial recognition, and deep learning.

Course Overview

This course covers the essential topics in Computer Vision, from basic image processing techniques to advanced deep learning applications using OpenCV, TensorFlow, and PyTorch. You will learn how to build AI models for object detection, facial recognition, image segmentation, and more.

FAQ

No, the course starts with fundamentals and builds up to advanced topics.

You'll use OpenCV, PyTorch or TensorFlow, and possibly tools like YOLO, Detectron2, or Media Pipe.

A GPU helps, but cloud-based platforms (like Google Colab) are also used in the course.

Yes, if you understand basic Python and ML, you can follow along.

Course curriculum

Computer Vision with AI-Quiz
0:10:0

Requirment

Basic Python programming knowledge
Familiarity with machine learning concepts
Interest in image processing and AI applications
Laptop with Python (and libraries like OpenCV, PyTorch/TensorFlow) installed

Outcomes

Understand core concepts of computer vision and image processing
Build AI models to classify, detect, and track objects in images/videos
Use convolutional neural networks (CNNs) and pre-trained models
Apply AI to real-world tasks like face detection, OCR, and augmented reality
Develop portfolio-ready computer vision projects

₹3499

~~₹4999~~

language
English
Duration
00h 10m
Level
beginner
Expiry period
Lifetime
Certificate
Yes