Graduate Diploma in Artificial Intelligence

La Trobe University

CRICOS Institution Code 00115M

Duration

52 weeks

Delivery

Online

Study Load

Full-time or part-time

Intakes

LTU Term 2 (March 2026), LTU Term 3 (May 2026), LTU Term 4 (July 2026), LTU Term 5 (September 2026)

Graduate Diploma in Artificial Intelligence

Course Overview

About This Course

Learn to use AI technology in a wide range of contexts, including digital healthcare, smart manufacturing, smart cities, sustainable energy infrastructure, precision agriculture and more. You'll learn from world-renowned lecturers who are leading the advancement of virtual reality and computer engineering.

Get a hands-on approach. Use your AI skills to solve real-world problems when you take on an industry-based project with leading organisations including Microsoft, Optus, 4Pi Labs, Aerion, Quantum Victoria, Nanjing University of Information Science and Technology, Pivot Maritime International and Axicor.

You'll learn:

Problem-solving with AI
- Discover how research skills and deep learning algorithms are used to develop AI-based solutions to real-world problems.
Machine learning
- Learn how to analyse data to design, implement and evaluate machine learning techniques for solving real-world problems.
Deep learning techniques
- Explore deep learning techniques and apply them to AI functions like image recognition, machine translation and speech synthesis.
Social, legal and ethical impact of AI
- Gain an understanding of the legal, moral and societal issues faced by today's IT industry and their impact on how AI technology is used.

Where You Can Study

Available Locations

Melbourne

Plenty Rd, Bundoora, Melbourne, Victoria 3086

Open in Maps ↗

Student Information

Fees & Entry by Student Type

Provider's Published Fee

A$34,800

Duration

52 weeks

Intakes

LTU Term 2 (March 2026), LTU Term 3 (May 2026), LTU Term 4 (July 2026), LTU Term 5 (September 2026)

Study Mode

Full-time or part-time

Eligibility

Entry Requirements

General Requirements

All applicants:

Successful completion of an Australian bachelor degree (or equivalent).

International students:

English language requirements

Offshore applicants are considered for admission based on the stated course entry requirements. IELTS may be considered.

Career & Study Pathways

Where this takes you

Career Opportunities

Digital disruption is producing strong demand for AI professionals in healthcare, manufacturing, agriculture, automotive and more. Graduates can pursue a range of career opportunities, including:

Artificial intelligence architect
- Identify how AI technology can be applied successfully in business settings.
Software engineer
- Use engineering principles and computer language to design, develop and maintain software systems.
Data scientist
- Work with computer hardware systems and networks to optimise performance.

Quality & Recognition

Accreditation & Migration

Academic Regulator

TEQSA

Accreditation Status

Accredited

Course Content

Units of Competency

All Units7 units

LTU0AIM

Academic Integrity Module

CSE4002

Artificial Intelligence Fundamentals

CSE4004

Cyber Security Principles

CSE4DBF

Database Fundamentals

CSE4IFU

Information Technology Fundamentals

CSE4IP

Introduction to Programming

CSE5ML

Machine Learning

Common Questions

Frequently Asked Questions

What is the Graduate Diploma in Artificial Intelligence at La Trobe University?

La Trobe University offers a Graduate Diploma in Artificial Intelligence, however the detailed course overview, entry requirements, and unit information were not available on the page content provided at the time of extraction.

Is La Trobe University a registered higher education provider?

Yes, La Trobe University is registered as an Australian University under TEQSA PRV12132 and is a CRICOS Provider with the number 00115M, meaning it is authorised to offer courses to both domestic and international students.

Does La Trobe University have an artificial intelligence research focus?

Yes, La Trobe University has an Australian Centre for Artificial Intelligence in Medical Innovation (ACAMI) listed among its research centres, indicating a strong institutional focus on artificial intelligence research and innovation.

Application

How to Apply

Three simple steps to get enrolled

Step 01

Enquire

Click "Enquire Now" and tell us a little about yourself. It's free and takes 2 minutes.

Step 02

Submit Documents

Our team will guide you on exactly which documents to prepare and submit.

Step 03

Get Enrolled

Receive your offer letter and confirm your enrolment. Welcome to the course!

Processing time: Offer letter issued within approximately 1 business days.

Course Snapshot

Typical Salary (AUD)

Entry-level (0-2 years)$80,000 – $105,000/yr

Early Career (2-5 years)$105,000 – $140,000/yr

Mid-Level (5-10 years)$140,000 – $180,000/yr

Career Paths

Machine Learning Engineer
Data Scientist
AI Engineer
Deep Learning Engineer
Natural Language Processing (NLP) Engineer

Key Skills

Machine learning model design, training, and evaluation
Deep learning and neural network architecture (CNNs, RNNs, Transformers)
Natural language processing (NLP) and large language model (LLM) integration
Data wrangling, cleaning, and feature engineering using Python, R, and SQL
Statistical modelling and probabilistic reasoning

Full course overview

💬

Need guidance?

Free advisor support

Our advisors help international students choose the right course and navigate visa pathways — at no cost.

Hear From the Students

Honestly I was lost when I first started looking at Australian colleges. There are just too many options and every agent gives you different info. A friend told me about FindTheCourses and within a week I had shortlisted 3 programs that actually matched my budget and visa situation. My advisor Sanjay was super helpful — never felt like I was being pushed into anything.

Priya Sharma

India

Master of Nursing · Griffith University

Promote your Institution with Find the Courses