Artificial Intelligence (Graduate Certificate)

The graduate certificate in artificial intelligence lets either existing graduate students or working professionals gain exposure to cutting-edge topics in contemporary AI. Available courses cover many AI interest areas, including: Generative language models such as Llama and ChatGPT, Theory and application of machine learning, Robotics and planning. The certificate can be pursued alone, or as part of another graduate degree. All classes are offered in-person only. Students enrolled in the program have access to UNH’s innovative DeepThought AI infrastructure, which provides both inference and fine-tuning access to hosted Llama models, including a retrieval-augmented generation (RAG) infrastructure.

Certificate Requirements

Incoming students must have at least one semester of computer programming or equivalent experience. Some courses require extensive programming background and others require extensive math background. Students  interested in the certificate should have at least one of these two possible backgrounds.

Required Courses

  • Students complete four courses for the certificate.
  • It is recommended that students select one of the pathways outlined below. Or, the certificate may be completed by selecting any four courses from the list of elective courses.
AI and Robotics
CS 830Introduction to Artificial Intelligence4
CS 833Mobile Robotics4
CS 931Planning for Robots3
CS 933Human Robot Interaction3
AI for Text
CS 852Foundations of Neural Networks4
CS 853Information Retrieval and Generation Systems4
CS 859ANatural Language Processing4
CS 881Data Science for Knowledge Graphs and Text4
Mathematical Foundations of ML
CS 850Machine Learning4
CS 852Foundations of Neural Networks4
CS 857Mathematical Optimization for Applications4
CS 950Advanced Machine Learning3
AI for the Physical Sciences
CS 850Machine Learning4
CS 851AReinforcement Learning4
CS 852Foundations of Neural Networks4
CS 959Fair, Accountable and Transparent Machine Learning3
AI for Business and Finance
CS 850Machine Learning4
CS 851AReinforcement Learning4
or CS 852 Foundations of Neural Networks
CS 859ANatural Language Processing4
CS 959Fair, Accountable and Transparent Machine Learning3
AI for the Social Sciences, Law, and Medicine
CS 850Machine Learning4
CS 852Foundations of Neural Networks4
or CS 853 Information Retrieval and Generation Systems
CS 859ANatural Language Processing4
CS 959Fair, Accountable and Transparent Machine Learning3
Elective Courses
Select four courses from the following: 1
CS 830Introduction to Artificial Intelligence4
CS 833Mobile Robotics4
CS 850Machine Learning4
CS 851AReinforcement Learning4
CS 852Foundations of Neural Networks4
CS 853Information Retrieval and Generation Systems4
CS 855Computer Vision4
CS 857Mathematical Optimization for Applications4
CS 859ANatural Language Processing4
CS 881Data Science for Knowledge Graphs and Text4
CS 931Planning for Robots3
CS 933Human Robot Interaction3
CS 950Advanced Machine Learning3
CS 959Fair, Accountable and Transparent Machine Learning3
1

It is recommended that students complete one of the four pathways listed. However, this certificate may be completed by taking any four of the courses from the list of electives.