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CODEMIA

Artificial Intelligence Algorithms: Computer Vision Specialist

600 000 ₸
Allocated 4 Quotas

About course

More on CODEMIA

The most up-to-date and in-demand computer vision competencies from CODEMIA IT School and leading practitioners shaping the industry. The student will master modern techniques, methods, approaches, architectures and algorithms in the field of computer vision and will be able to solve industrial problems using the acquired skills. In the course, expert practitioners will demonstrate deep learning frameworks, image processing libraries and data markup tools, cloud-based deep learning platforms, tools for working with graphics processors (GPUs), libraries for data augmentation. During the course, the student will learn how to train AI to solve such tasks, prepare data and develop programs for processing video and graphic images, acquire competencies in managing applications and equipment for computer vision.

Special condition

No

Course details

level

For beginner

Study format

Online

Start

September

Entrance exams

No

Duration, in weeks

26

Duration in academic hours

144

Education language

Russian

Classes days_of_week

Monday-Friday

Teaching methodology

There are more practices than theories

Qualifications

Junior Computer Vision Developer

Classes format

Classes are held online on an electronic educational platform. Classes include a format of pre-recorded video lectures, informative educational content for the listener, available 24/7, interactive assignments, online sessions with experienced teachers. Feedback from the listener is provided through the exchange and verification of files on the platform with comments and discussions, including during online sessions with experts. The student completes the final project on a practical case, forming his professional portfolio.

Skills


1. Study different types of images and learn how to identify their main characteristics.

2. Learn how to use the TensorFlow library to analyze images.

3. Learn clustering methods for grouping and classifying graphical data.

4. Master various methods and algorithms to find and track signs in images and videos.

5. Develop programs for processing graphic and video data, including splitting images into parts and matching 3D images.

6. Learn how to install, update and configure machine and computer vision programs and devices.

FAQ

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