Harper College

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)
NumberCourse TitleCredits
AIC 1012

Description: Navigates students through the complexity of artificial intelligence (AI), machining learning (ML), and cloud computing careers. Provides an overview of major categories of work and job classifications, and an understanding of required credentials and existing programs of study to prepare for the workforce or transfer.

Lecture Hours: 2

Lab Hours: 0

Contact Hours: 2

Class Schedule: Summer 2026 | Fall 2026

AIC 1103

Description: Basic concepts and applications of artificial intelligence (AI), including AI project cycles. Focus on issues surrounding AI including ethics, bias, culture, regulations, and professional expectations.

Lecture Hours: 3

Lab Hours: 0

Contact Hours: 3

Class Schedule: Summer 2026 | Fall 2026

AIC 1203

Description: Introduction to machine learning concepts and Python applications, including data acquisition, supervised and unsupervised learning, and data modeling.

Lecture Hours: 2

Lab Hours: 2

Contact Hours: 4

Class Schedule: Summer 2026 | Fall 2026

AIC 1303

Description: Covers the basic concepts and topics relevant to develop an appreciation for the role mathematics plays in AI. In this application0based course, students will learn to apply the concepts of statistics, linear algebra, and probability to the AI Project Cycle.

Lecture Hours: 3

Lab Hours: 0

Contact Hours: 3

Class Schedule: Summer 2026 | Fall 2026

AIC 1403

Description: Provides comprehensive introduction to Python programming. Covers fundamental programming concepts, advanced data structures, and essential libraries and frameworks with emphasis on those directly applicable to AI. Students will gain practical experience in writing efficient Python code, developing algorithms, and utilizing Python for data analysis, and AI/machine learning computing applications. Students will be well-equipped to apply Python programming skills to real-world computing problems with an emphasis on AI/machine learning.

Lecture Hours: 2

Lab Hours: 2

Contact Hours: 4

Class Schedule: Summer 2026 | Fall 2026

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: Summer 2026 | Fall 2026

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 Harper College, contact Admission Outreach at 847.925.6700.

Last Updated: 7/7/26