Udemy – Master Computer Vision: From Basics to Advanced Projects 2024-7

Udemy – Master Computer Vision: From Basics to Advanced Projects 2024-7

Udemy – Master Computer Vision: From Basics to Advanced Projects 2024-7
Udemy – Master Computer Vision: From Basics to Advanced Projects 2024-7

Master Computer Vision course: From Basics to Advanced Projects. This course will guide you into the fascinating world of computer vision and provide you with the knowledge and tools to tackle real-world challenges. Why this course? This course is designed for data scientists, software engineers, technology innovators, and anyone interested in artificial intelligence. Whether you’re looking to improve your current role or transition into a new career, our comprehensive curriculum and specialist training will give you the skills you need to succeed. At the end of this course, you will have the confidence and ability to develop complex computer vision solutions. Not only will you meet the challenge set by your manager, but you will exceed expectations and become the trusted expert for all things computer vision in your organization. Join us now and start your journey to become a computer vision hero. Sign up today and unlock the potential of image data!

What you will learn in the Master Computer Vision: From Basics to Advanced Projects course

  • Understanding of key concepts and techniques in computer vision, including image processing, object detection, and object recognition
  • Gain hands-on experience with real-world projects, such as building and deploying object recognition models using libraries like OpenCV and frameworks like YOLO
  • Learning to build and train facial recognition models, from image collection to model training and evaluation, and applying these skills in practical scenarios
  • Explore and implement advanced techniques such as state estimation using Google MediaPipe, and learn to integrate these capabilities into broader applications.
  • Address and overcome common challenges in computer vision tasks, improve problem-solving skills, and increase confidence in applying computer vision solutions.

This course is suitable for people who

  • Individuals seeking to expand their knowledge in artificial intelligence and machine learning with a focus on image data processing
  • Professionals who want to incorporate computer vision capabilities into their programs and projects and take advantage of powerful libraries and frameworks.
  • Students majoring in computer science, engineering, or related fields who want to supplement their academic knowledge with practical skills in computer vision.
  • Innovators and entrepreneurs looking to develop products or solutions that use computer vision technology to gain a competitive edge in the market
  • People from a variety of professional backgrounds who are interested in technology and are looking to transition into the field of computer vision and artificial intelligence.

Master Computer Vision: From Basics to Advanced Projects

Course headings

Master Computer Vision: From Basics to Advanced Projects Master Computer Vision: From Basics to Advanced Projects

Prerequisites of the Master Computer Vision course: From Basics to Advanced Projects

  • Familiarity with Python programming will help you follow along with coding exercises and projects
  • A basic grasp of mathematical concepts such as matrices, vectors, and basic algebra will aid in understanding computer vision algorithms.
  • You’ll need a computer with internet access to watch the course videos, download resources, and complete assignments
  • Tools such as Jupyter Notebook, Anaconda, or any preferred Python IDE for writing and executing code

Course images

Master Computer Vision: From Basics to Advanced Projects

Sample video of the course

Installation guide

After Extract, view with your favorite Player.

Subtitle: None

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 1 GB

Download part 4 – 1 GB

Download part 5 – 587 MB

File(s) password: www.downloadly.ir

File size

4.5 GB