Please refer to the Course Planning page for a general idea of when these courses are offered. For exact dates, times, locations, fees, and instructors, please refer to the course finder.

Undergraduate Courses

Course Number & Name Course Format
Course Number & Name: 625.108 - Calculus I Course Format: Asynchronous Online
Course Number & Name: 625.109 - Calculus II Course Format: Asynchronous Online
Course Number & Name: 605.206 - Introduction to Programming Using Python Course Format: Asynchronous Online
Course Number & Name: 605.202 - Data Structures Course Format: Asynchronous Online, Synchronous Online
Course Number & Name: 625.240 - Introduction to Probability and Statistics Course Format: Asynchronous Online
Course Number & Name: 625.250 - Multivariable Calculus and Complex Analysis Course Format: Asynchronous Online
Course Number & Name: 625.252 - Linear Algebra and Its Applications Course Format: Asynchronous Online

Applicants whose prior education does not include the prerequisites listed under Admission Requirements may still be admitted under provisional status, follow by full admission once they have completed the missing prerequisites. All prerequisite courses are available at Johns Hopkins Engineering. These courses do not count toward the degree or certificate requirements.

Any comparable second semester Python programming course can be substituted for Data Structures.

Core Courses

A total of 4 course courses are required and must be completed before selecting any electives.

Course Number & Name Course Format
Course Number & Name: 705.621 - Introduction to Algorithms or Course Format: Asynchronous Online
Course Number & Name: 685.621 - Algorithms for Data Science followed by these three courses: Course Format: Asynchronous Online
Course Number & Name: 605.645 - Artificial Intelligence Course Format: Asynchronous Online
Course Number & Name: 705.601 - Applied Machine Learning Course Format: Asynchronous Online
Course Number & Name: 705.603 - Creating AI-Enabled Systems Course Format: Asynchronous Online

Electives

Must take at least 6 of the following courses

Course Number & Name Course Format
Course Number & Name: 525.661 - UAV Systems and Control Course Format: Asynchronous Online
Course Number & Name: 525.670 - Machine Learning for Signal Processing Course Format: Asynchronous Online
Course Number & Name: 525.724 - Introduction to Pattern Recognition Course Format: Synchronous Online
Course Number & Name: 525.733 - Deep Learning for Computer Vision Course Format: Synchronous Online
Course Number & Name: 525.770 - Intelligent Algorithms Course Format: Asynchronous Online
Course Number & Name: 525.786 - Human Robotics Interaction Course Format: In-person
Course Number & Name: 605.613 - Introduction to Robotics Course Format: Asynchronous Online, Synchronous Online
Course Number & Name: 605.617 - Introduction to GPU Programming Course Format: Asynchronous Online
Course Number & Name: 605.624 - Logic: Systems, Semantics, and Models Course Format: Asynchronous Online
Course Number & Name: 605.633 - Social Media Analytics Course Format: Asynchronous Online
Course Number & Name: 605.634 - Crowdsourcing and Human Computation Course Format: Asynchronous Online
Course Number & Name: 605.635 - Cloud Computing Course Format: Asynchronous Online
Course Number & Name: 605.646 - Natural Language Processing Course Format: Asynchronous Online, In-person
Course Number & Name: 605.647 - Neural Networks Course Format: Asynchronous Online, Synchronous Online
Course Number & Name: 605.649 - Introduction to Machine Learning Course Format: Asynchronous Online, Synchronous Online
Course Number & Name: 605.662 - Data Visualization Course Format: Asynchronous Online
Course Number & Name: 605.716 - Modeling and Simulation of Complex Systems Course Format: Synchronous Online
Course Number & Name: 605.724 - Applied Game Theory Course Format: Asynchronous Online
Course Number & Name: 605.742 - Deep Neural Networks Course Format: Asynchronous Online
Course Number & Name: 605.743 - Advanced Artificial Intelligence Course Format: Asynchronous Online, Synchronous Online
Course Number & Name: 605.745 - Reasoning Under Uncertainty Course Format: Asynchronous Online
Course Number & Name: 605.746 - Advanced Machine Learning Course Format: Asynchronous Online
Course Number & Name: 605.747 - Evolutionary and Swarm Intelligence Course Format: Asynchronous Online
Course Number & Name: 645.651 - Integrating Humans and Technology Course Format: Asynchronous Online
Course Number & Name: 695.637 - Introduction to Assured AI and Autonomy Course Format: Asynchronous Online
Course Number & Name: 705.604 - Optimizing and Deploying Scalable AI Systems Course Format: Hybrid In-person and Synchronous Online
Course Number & Name: 705.612 - Values and Ethics in Artificial Intelligence Course Format: Asynchronous Online, Hybrid In-person and Synchronous Online
Course Number & Name: 705.640 - Cognitive and Behavioral Foundations for Artificial Intelligence Course Format: Hybrid In-person and Synchronous Online
Course Number & Name: 705.643 - Deep Learning Developments with PyTorch Course Format: In-person
Course Number & Name: 705.651 - Large Language Models: Theory and Practice Course Format: Hybrid In-person and Synchronous Online
Course Number & Name: 705.741 - Reinforcement Learning Course Format: Hybrid In-person and Synchronous Online
Course Number & Name: 705.742 - Advanced Applied Machine Learning Course Format: Hybrid In-person and Synchronous Online
Course Number & Name: 705.743 - ChatGPT from Scratch: Building and Training Large Language Models Course Format: In-person

Independent Study

Course Number & Name Course Format
Course Number & Name: 705.801 - Independent Study in Artificial Intelligence I Course Format:
Course Number & Name: 705.802 - Independent Study in Artificial Intelligence II Course Format: