AutoML is a technique that democratises machine learning, making it accessible to non-experts, and enabling the rapid and efficient development of high-quality models. It saves time and resources by automating complex tasks, and enhances productivity by allowing professionals to focus on innovative problem solving. AutoML provides a competitive edge, future-proofs skills, and makes advanced machine learning more affordable and scalable for businesses of all sizes.
The AutoML microcredential will equip you with the knowledge and skills to streamline and automate machine learning tasks. You’ll develop a comprehensive understanding of the Fujitsu AutoML platform; as well as algorithm selection and hyperparameter tuning; model evaluation, selection and interpretability, and how AutoML can be applied to solve real-world challenges.
To undertake this microcredential, you should have:
Basics of Python
This microcredential is designed for:
With knowledge of AutoML, you'll significantly boost productivity in various machine learning tasks, enabling you to pursue a range of roles in AI, data science and related fields, including:
Completing this microcredential will provide you with skills relevant to these professions:
Professor Amin Beheshti is the founder and director of Macquarie’s Centre for Applied Artificial Intelligence, the head of the Data Science Lab and the founder of the Big Data Society. Beheshti received the prestigious AI Academic/Researcher of the Year award at the inaugural Australian AI Awards in 2024. He was also a finalist in two additional categories: AI Leader of the Year – Enterprise and AI Rising Star of the Year – Enterprise.
Dr Yuankai Qi is a lecturer in Artificial Intelligence (AI). He has published more than 60 papers on top-tier venues in computer vision and artificial intelligence, is the winner of several international awards, and received an Australian Pattern Recognition Society ECR Award Honourable Mention. He serves as Area Chair for the International Conference on Learning Representations and the International Conference on Computer Vision.
On successful completion of this microcredential you'll be able to:
During your microcredential studies, you’re required to:
Read the information on this page so you're across all of the details prior to enrolling.
$1,250 (incl. GST).
Note: Fees are in Australian dollars
To undertake this microcredential, you should have the basic coding skills using Python
Note: Please register an account on the login page when enrolling if you do not have an existing account
Date |
Title |
Location |
|
|---|---|---|---|
| 30 Apr 2025 | AutoML | Online | Enrol Now |
You'll need access to a computer with access to internet.
This microcredential does not have an expiry date.
Upon completing this microcredential successfully, you will be awarded Macquarie University digital credentials, certifying your achievement of the knowledge, skills, and capabilities that underpin your learning, as outlined in the What you’ll study section. See example digital credentials.
There are many ways you can use your digital credentials, such as sharing them on your LinkedIn with a click of a button. Visit our digital credential page to see these various options and features available to you to utilise, share, and manage your Macquarie digital credentials.
Purchasing this microcredential is subject to the University’s Terms and Conditions.
Please get in touch with microcredentials@mq.edu.au or +61 (2) 9850 9677 if you have any questions regarding the delivery of this microcredential and your purchase, enrolment, and learning journey.
If you’d like to know more about studying at Macquarie University, we’d love to hear from you.