Overview
In the Graduate Certificate in Architecting AI Systems, participants will learn to apply essential practices in Explainable and Responsible AI, AI-specific cybersecurity, Agentic AI design patterns, advanced software architecture skills, and MLSecOps/LLMSecOps to design, architect, implement and deploy AI systems that are robust, highly available, reusable, maintainable, and extensible, along with the development of relevant project artifacts.
This Graduate Certificate comprises four course modules and a practice module. The four course modules are:
- Explainable & Responsible Artificial Intelligence
- AI & Cybersecurity
- Architecting Agentic AI Solutions
- Integrating and Deploying AI Solutions
The sections below provide more details about the practice module.
To be awarded the graduate certificate, participants must demonstrate competency in all four course modules and undertake and pass the practice module. The graduate certificate, once awarded, may also be used as one component in a stackable Master of Technology in Software Engineering (MTech SE) and Master of Technology in Artificial Intelligence Systems (MTech AIS).