Become a Computer Vision Expert with this Udacity Course

This Computer Vision Nanodegree Program by Udacity will help you master the advanced Computer Vision (CV) skills needed for a career in robotics and automation. You will learn to write programs that will help you analyze images, recognize objects and implement feature extraction with the help of deep learning models. It will help you gain extensive knowledge in the domain of computer vision and elevate your earning potential as a computer vision engineer.

Students are supposed to complete the learning within the given time frame, and if they have any doubts, they can ask the peer group or reach out to mentors who are specifically assigned for guidance. The instructor for this course is Cezanne Camacho.

It takes around 3 months to complete the computer vision certification course and requires learners to put in 10-15 hours of work per week. In the first few weeks, the CV basics are covered. This helps learn basic image processing and how to build and customize Convolutional Neural Networks (CNN). Both the past and present methods used in the CV field are discussed in the course of the curriculum. The learning level progresses from easy to medium. 

A timeline is given to complete the modules. You will get to learn novel topics that need to be implemented in your projects. The learning was based on numerous animations and real-life examples. The course is divided into 3 parts, namely: 

• Introduction to Computer Vision
  
  You will learn the fundamentals of CV and image processing, how to extract key features from image data, and how to apply deep learning techniques to classification tasks.
   
• Advanced Computer Vision and Deep Learning
  
  You will learn how to use deep learning architectures to solve CV problems. You will understand how to build an automatic image captioning application by combining CNN and Recurrent Neural Network (RNN) networks.
   
• Object Tracking and Localization
  
  You will learn how to locate and track an object over time as these methods are used in various moving systems, including self-driving cars and drone flight.

There are assessments after each week which help recall what was taught. The study materials provided throughout the week are enough to attempt the assessments successfully.

I am a full stack developer who has developed and delivered net core applications for major public cloud providers such as Azure, AWS and Google. I used the knowledge gained in this course to take decisions and build models in ML and CV at work. 

I have always loved the idea of image recognition and how our phones have facial unlock features; hence I was searching for courses that offered similar features or learning points. That is why I opted for this Udacity course which has helped me in gain knowledge in the field. 

It was an excellent experience as I met many talented and passionate individuals. This course is self-explanatory and excellent for Computer vision Specialists. Learners are connected with mentors if they need to clear doubts. The tips and guidance provided in the course helped me navigate the various challenges I face in my workplace. This course will be relevant not only in 2023 but for many years to come.