51社区

51社区

Computer Vision/Deep Learning Specialist Certificate

A deep learning professional showing programmers example code on a whiteboard.

Begin a career in deep learning with a professional certificate

This program provides hands-on training in designing, training, and deploying image recognition and pattern detection models. Students gain experience using industry-standard tools such as TensorFlow and OpenCV to develop applications that support automation, manufacturing, healthcare, and security systems. The program prepares students for careers in applied AI development and computer vision technologies.

Certificate program requirements

This 17 credit-hour certificate program provides hands-on training in designing, training, and deploying image recognition and pattern detection models. Students gain experience using industry-standard tools such as TensorFlow and OpenCV to develop applications that support automation, manufacturing, healthcare, and security systems. The program prepares students for careers in applied AI development and computer vision technologies.

No requirement text found.

Program Requirements

Program Requirements (Hours required: 17)
NumberCourse TitleCredits
AIC 1012
AIC 1103
AIC 1203
AIC 1303
AIC 1403
NET 1053

Description: Provides students with the skills required to identify and explain the basics of computing, IT, infrastructure, application and software, software development, database fundamentals and security. Contains basic computer maintenance and support principles. Includes computer science related topics including programming concepts and principles of software development and database design. Aligns to the CompTIA IT (ITF+) Fundamentals certification.

Lecture Hours: 2

Lab Hours: 2

Contact Hours: 4

Class Schedule:  |

Total Hours17

Program learning outcomes

Upon completion of the program, students will be able to:

  • Design and train image recognition and pattern detection models using tools such as TensorFlow and OpenCV.
  • Apply deep learning algorithms to solve problems in automation, manufacturing, healthcare, and security.
    Assessment
  • Evaluate the performance and accuracy of trained models through testing and validation processes.
    Assessment
  • Integrate computer vision applications into broader AI and data systems.

Related programs

Students interested in Artificial Intelligence and Cloud Computing may also be interested in:

For more information about computer vision and deep learning courses at 51社区, contact Admission Outreach at 847.925.6700.