Architecting AI Systems

In this graduate certificate, 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.

 Key Takeaways

• Design fairer and more ethical AI systems by understanding and applying principles and practices of Explainable and Responsible AI.
• Design safer AI systems by identifying security, safety and privacy vulnerabilities, including AI-specific cybersecurity risks, and implementing appropriate risk mitigation.
• Architect robust, highly available, reusable, maintainable and extensible AI systems by applying Agentic AI design patterns and advanced software engineering architecture and design techniques for integrating intelligent components.
• Engineer and automate MLSecOps and LLMSecOps pipelines to enable the continuous delivery and deployment of AI systems.

Duration:	28 days
Level:	Intermediate
Area:	Architecting AI Systems
This graduate certificate is a part of the Stackable Graduate Certificate Programme in Artificial Intelligence and Stackable Graduate Certificate Programme in Smart Systems & Platforms

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