Applied Machine Learning develops the autonomy of participants to plan and implement a machine learning (ML) project using the whole life cycle, from problem understanding to deployment of results. This practical, problem-based micro-credential enables demonstration of machine learning expertise and professional communication skills.
About this micro-credential
This micro-credential will allow you to develop your skills to apply the full machine learning project lifecycle to professional projects and business challenges. You'll work through a series of case studies and challenges with our expert facilitators and build up a skillset to implement machine learning solutions to specified business problems. You鈥檒l learn to explain and justify your approach, design and implement a range of ML models and clearly communicate the outcomes and insights.
Key benefits of this micro-credential
This micro-credential will equip you to:
Build the autonomy to plan and implement a machine learning project all the way from problem definition through to solution development, deployment and communication of outcomes
Appreciate a highly practical, business-focused program which incorporates demonstrating an understanding of key ML concepts through application to case studies.
Who should do this micro-credential?
This micro-credential is designed for professionals with hands-on experience in machine learning, who are looking to enhance and demonstrate their expertise in the professional design, delivery and communication of machine learning projects.
Course learning objectives
Upon successful completion of this micro-credential, participants will be able to implement a machine learning project in a business environment.
*Price shown is for indicative purposes, please
September 2025
*There may be different IELTS requirements depending on your chosen course.
UTS boasts a culturally diverse campus life and a range of innovative courses that prepare graduates for the workplaces of today and tomorrow.