Data-Science Intermediate Premium

Computer Vision and Image Analytics Virtual Internship

In this virtual internship, students will develop expertise in applying computer vision and deep learning techniques to extract insights from visual data. They will learn to build and deploy image classification, object detection, and image segmentation models, gaining hands-on experience with industry-standard tools and libraries. By the end of the program, students will be able to tackle a wide range of computer vision challenges and be well-prepared for careers in data science, computer vision, and image analytics.

weeks
7 tasks
0 enrolled
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Track price: $49.00

Track Overview

This track provides hands-on experience and real-world projects to build your skills.

Tasks & Milestones

Image Classification with Convolutional Neural Networks

Intermediate

In this task, students will build a deep learning-based image classification model using a convolutional neural network (CNN) to classify images into different categories.

15 hours

Object Detection with Faster R-CNN

Intermediate

In this task, students will implement a Faster R-CNN model for object detection, which can identify and localize multiple objects within an image.

20 hours

Semantic Segmentation with U-Net

Intermediate

In this task, students will implement a U-Net model for semantic segmentation, which can classify each pixel in an image into predefined categories.

15 hours

Instance Segmentation with Mask R-CNN

Intermediate

In this task, students will implement a Mask R-CNN model for instance segmentation, which can identify and segment individual objects within an image.

20 hours

Model Optimization and Deployment

Intermediate

In this task, students will optimize a pre-trained computer vision model for deployment and package it as a containerized application.

12 hours

Serving Computer Vision Models with Web Frameworks

Intermediate

In this task, students will develop a web application to serve a computer vision model using a web framework like Flask or FastAPI.

15 hours

Capstone Project

Intermediate

In this task, students will complete a capstone project that showcases their computer vision and deep learning skills.

40 hours

Prerequisites

  • • Python programming
  • • Familiarity with machine learning concepts
  • • Basic understanding of deep learning

Certificate

Certificate of Completion

Earn a certificate upon successful completion