Deep Learning Specialist Certificate: 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.

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Program Requirements

Program Requirements (Hours required: 17)
Number	Course Title	Credits
AIC 101	Careers in Artificial Intelligence, Machine Learning, and Cloud Computing	2
AIC 110	Introduction to Artificial Intelligence (AI)	3
AIC 120	Introduction to Machine Learning	3
AIC 130	Applied Math for Artificial Intelligence	3
AIC 140	Python Programming for AI	3
NET 105	Information Technology Fundamentals	3
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 Hours		17

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.