Are you an absolute beginner with no knowledge of computer vision, but would like to learn and become an expert? The Computer Vision in Python for Beginners (Theory & Projects) course is the perfect opportunity for you. This comprehensive course will guide you through the core concepts of computer vision, the digital imaging process, and key application areas in computer vision.
What is computer vision?
Computer vision (CV), a subfield of computer science, focuses on replicating the complex functionalities of the human visual system. In the CV process, real-world images and videos are captured, processed, and analyzed to allow machines to extract contextual, useful information from the physical world.
Thanks to recent innovations in artificial intelligence and deep learning, the field of computer vision has made great strides and continues to surpass humans in most routine tasks connected with detecting and labeling objects.
What will you learn in the course?
The course content is divided into 320+ videos with detailed code notebooks covering multiple topics such as image transformations, image filtering and morphology, motion, key point detection and matching, object detection, and 3D computer vision.
You will learn the theoretical and practical aspects of computer vision concepts, and at the end of each section, your understanding of every concept will be tested. Homework assignments, tasks, activities, and quizzes will assess your learning, and you'll find several of these activities focused on coding to get you ready for implementations.
The course includes two hands-on projects in the last section—Change Detection in CCTV Cameras (Real-time) and Smart DVRs (Real-time). Successful completion of these projects will help you enrich your portfolio and kick-start your career in the field of computer vision.
Course structure and methodology
The course is easy to understand, descriptive, comprehensive, practical, and rich with state-of-the-art and updated knowledge of the field. Teaching follows the proven learning-by-doing methodology. The course starts from the basics and focuses on helping learners understand each concept clearly.
Course material includes online videos, course notes, hands-on exercises, project work, quizzes, and handouts. The aim is to help you master the basic concepts of CV before moving on to advanced concepts. The course creators also provide learning support, and you can contact them in case of any queries, and they respond in quick time.
Who is the course for?
The Computer Vision-Become an ace of Computer Vision, Computer Vision for Apps using Python, OpenCV, TensorFlow, etc. course is designed for:
- Learners who are absolute beginners and know nothing about computer vision.
- People who want to make smart solutions and learn computer vision with real data.
- People who love to learn the theory and then implement it using Python.
- People who want to learn computer vision along with its implementation in realistic projects.
- Data Scientists.
- Machine learning experts.
Course review
The Computer Vision in Python for Beginners (Theory & Projects) course has a 4.40804 rating aggregate from 168 reviews, indicating that it has numerous satisfied students. The course reviews indicate that the course content is concise, and the lectures are easy to understand.
One student notes, "Really love the way the instructor explains every step in detail. The course is to the point and easy to understand even for someone with no prior experience." Another student comments, "I have taken many online computer vision courses, but this one is the best so far."
Why learn computer vision?
Computer vision is a growing field, with applications in various industries such as medicine, transportation, security, media and entertainment, agriculture, sport, and more.
The skills learned from this course will enable learners to make smart solutions and implement them from scratch, focus on advanced concepts of computer vision or seek employment in the field.
The skills acquired from this course will also help individuals develop the ability to relate the concepts and theories of computer vision with real-world problems and gain a comprehensive understanding of both theoretical and practical aspects of computer vision concepts.
Enroll now
Mastering computer vision is a great opportunity, and there's no better time than the present to start. Enroll in the Computer Vision in Python for Beginners (Theory & Projects) course now and start making your smart solutions.
