Skip to menu Skip to content Skip to footer

You're viewing this site as a domestic an international student

You're a domestic student if you are:

  • a citizen of Australia or New Zealand,
  • an Australian permanent resident, or
  • a holder of an Australian permanent humanitarian visa.

You're an international student if you are:

  • intending to study on a student visa,
  • not a citizen of Australia or New Zealand,
  • not an Australian permanent resident, or
  • a temporary resident (visa status) of Australia.
You're viewing this site as a domestic an international student
Change

Applied Machine Learning

Delivered by Executive Education

Overview

Unlock the power of machine learning (ML) to drive strategic decision-making and innovation in your organisation. Designed for non-technical professionals, this course demystifies ML concepts and equips you with the tools to evaluate and apply machine learning outcomes effectively.

Whether you're managing large-scale data, working with text, audio, or image data, or needing to communicate confidently with data experts, this program provides practical insights to help you harness ML's potential. Learn how to identify opportunities, interpret results, and leverage ML to create a competitive advantage in a data-driven business landscape.

Upcoming courses

Delivery mode
in-person, classroom
Date
18–19 August 2025

Who should attend

This course is ideal for professionals who:

  • Know the importance of machine learning but don’t know how to use it.
  • Need to understand and evaluate ML outcomes to make informed decisions.
  • Manage large-scale data but struggle to extract its value.
  • Need to communicate effectively with data and technical experts.
  • Work in data-centric fields, including non-technical consultants, healthcare, insurance, telecommunications, marketing, and industries handling text, voice, or image data.

No prior technical knowledge is required. A basic understanding of data is beneficial but not essential.

Entry requirements

There are no entry requirements for this course.

What you'll learn

  • ML fundamentals: Develop a clear understanding of core ML concepts and techniques, including multimodal data (text, voice, audio, and images).
  • Outcome evaluation: Learn to interpret ML results and evaluate their relevance to business challenges.
  • Strategic fit: Identify opportunities to integrate ML to solve organisational problems and improve decision-making.
  • Data management: Understand how to manage large-scale data effectively and uncover its strategic value.
  • Effective communication: Build confidence to collaborate with technical teams and communicate ML insights to stakeholders.

Assessment

There are no assessments for this short course.

Certification and accreditation

Showcase your capabilities with a Digital Badge that verifies your skills and achievements.

Facilitators

Profile image of Morteza Namvar
Dr Morteza Namvar
Lecturer in Business Analytics, UQ Business School
Profile image of James Boyce
James Boyce
PhD Candidate, UQ Business School

Cost

Applicant Price
Early Bird A$2,376
Individual A$2,640
UQ Alum A$2,112
UQ Staff A$2,400

GST is included in the cost

Contact