Online Artificial Intelligence and Machine Learning Certificate

The Artificial Intelligence and Machine Learning certificate is a 12-credit program that equips novices and seasoned professionals with the essential skills to harness the power of modern Artificial Intelligence and Machine Learning in their respective fields of operation. 

Please note: This certificate is intended for working professionals and is not open to current Texas A&M students.

Technical Qualifications

Successful candidates for the certificate, should have proficiency in at least two programming languages in addition to demonstrating an understanding of core concepts in computer science or equivalent covered in the categories below:

• Program Design and Concepts: programming proficiency through problem-solving with a high-level programming language, emphasizing computational thinking, data types, object-oriented design, dynamic memory management, and error handling for robust program development.
• Data Structures: implementing essential abstract data types and algorithms covering stacks, queues, sorting, searching, graphs, and hashing; examining performance trade-offs, analyzing runtime and memory usage.
• Algorithms: computer algorithms for numeric and non-numeric problems; design paradigms; analysis of time and space requirements of algorithms; correctness of algorithms.
• Discrete Structures for Computing: foundations from discrete mathematics for algorithm analysis, focusing on correctness and performance; introducing models like finite state machines and Turing machines.
• Mathematical Foundations: Calculus, Probability, and Linear Algebra.

Students must take four out of five possible courses to complete this certificate. See course information below.

To qualify for this certificate, you must complete 12 semester credit hours (SCH) of coursework from the following list of courses. All courses must be completed with a grade of C or above. Each course is linked to its course description within the catalog.  Each course is 3 credit hours.

Courses (12 credits):

Required Courses:

CSCE 625 Artificial Intelligence
CSCE 633 Machine Learning

Select two of the following:

CSCE 631 Intelligent Agents
CSCE 636 Deep Learning
CSCE 642 Deep Reinforcement Learning
CSCE 752 Robotics and Spatial Intelligence

* Additional courses are available with the consultation of an academic advisor.

For more information, please see the course catalog.