Agentic AI unit (KIT329)

Introduction

This unit introduces you to the emerging field of Agentic AI, focusing on the foundations, principles, and practical development of intelligent systems capable of autonomous reasoning, learning and interaction with users and environments. You will explore key technologies underpinning agentic AI, including reinforcement learning (RL), large language models (LLMs), retrieval-augmented generation (RAG) and agent collaboration. Through this unit, you will learn how to design, implement, and evaluate AI agents for real-world applications, while considering challenges related to reliability, safety, ethics, and human–AI interaction. The unit builds on foundational artificial intelligence knowledge and equips you with contemporary skills to develop the next generation of autonomous and intelligent systems.

Summary

Unit name	Agentic AI
Unit code	KIT329
Credit points	12.5
College/School	Sciences and Engineering School of Information and Communication Technology
Discipline	Information & Communication Technology
Coordinator	Associate Professor Julian Dermoudy
Available as an elective?	Yes
Delivered By	University of Tasmania and Third Party(ies): ECA
Level	Advanced

Learning Outcomes

• Explain the fundamental concepts, architectures, and enabling technologies of Agentic AI.
• Analyse complex real-world computing problems and design agentic AI solutions using appropriate AI techniques.
• Develop and evaluate prototype agentic AI systems using contemporary AI frameworks, considering performance, reliability, ethical, and societal implications.

Fee Information

Field of Education	Commencing Student Contribution 1,3	Grandfathered Student Contribution 1,3	Approved Pathway Course Student Contribution 2,3	Domestic Full Fee 4
			not applicable

¹ Please refer to more information on student contribution amounts.
² Please refer to more information on eligibility and Approved Pathway courses.
³ Please refer to more information on eligibility for HECS-HELP.
⁴ Please refer to more information on eligibility for FEE-HELP.

If you have any questions in relation to the fees, please contact UniConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.

Requisites

Prerequisites

KIT220

Teaching

Assessment	Tutorial tasks (10%)|Classic Agentic AI Project (25%)|Test (30%)|Generative Agenti AI Project (35%)
Timetable	View the lecture timetable | View the full unit timetable

Textbooks

Required	Required readings will be listed in the unit outline prior to the start of classes.

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