Secure Agentic AI

Pathway
Microcredential
Springboard Funding Available Information Circle Green

Duration

1 Semester

Qualification

Micro-credential

NFQ Level

Level 9, 5 credits

Delivery

Online

Start Date

Starts September

Applications Close

04/09/2026

Overview
Entry Requirements
Fees and Funding
Course Contact

Course Overview

This module introduces learners to the principles, architectures, security considerations, and governance of agentic AI systems. Agentic AI refers to systems composed of autonomous or semi-autonomous agents capable of goal-directed behaviour, interaction, and adaptation within dynamic environments. While such systems offer significant potential, they also expand digital attack surfaces and raise challenges relating to control, exploitability, explainability, assurance, and accountability.

The module emphasises the design of bounded and governed agentic systems operating in adversarial contexts. Learners critically evaluate agent behaviour, autonomy boundaries, coordination mechanisms, and human oversight models, while applying structured threat modelling, risk assessment, and assurance strategies. Particular attention is given to secure architectural design, adversarial failure modes, and the proportional governance of autonomous systems consistent with responsible and secure AI practice.

Modules

Module Descriptor

Secure Agentic AI Module Descriptor

Fees and Funding

EU €800

This course is eligible for funding under the Micro-credential Learner Fee Subsidy 2026 programme. Fees are subsidised at 80% for all eligible learner categories. For more information on funding, click here.

Eligible funding with

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Entry Requirements

Please refer to the associated pathway for information on entry requirements

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Course Lecturer

Lecturer: Anila Mjeda

Department: Computer Science at

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