Machine Learning for Business

Machine Learning is disrupting industry. From financial services to medical devices to legal services, machine learning technology is changing the way businesses operate.

  • Understand basic concepts of machine learning, and classic learning paradigms such as: Supervised Learning, and Unsupervised Learning.
  • Understand basic principles and theory of machine learning and their main applications in a business perspective.
  • Have the ability to visualize business problems and identify possible machine learning use cases.
  • Have the ability to identify potential employees and groups that can provide a positive collaboration, and bring valuable contributions to the company's business model.
  • What is covered in the course?

    • Articulate why machine learning techniques have been able to disrupt numerous industries.
    • Describe the fundamental phases of a machine learning project.
    • Recall the historical development of machine learning technology.
    • List example problems that machine learning can solve.
    • Distinguish between regression and classification problems.
    • Distinguish between supervised and unsupervised machine learning.
    • Identify aspects of your work that can benefit from machine learning.
    • Organise a machine learning project using an AI canvas.
    • List the stakeholders that are involved in the execution of a machine learning project.
    • Formulate data governance processes which establish the necessary foundations for a machine learning project.
    • Differentiate between various data types.
    • Assess the performance of a machine learning solution.
  • Should I attend?

    This program is particularly suited for leaders and managers who want to understand what machine learning is, and how it could apply to your business. 

    The program is not suitable for technical experts.

  • How will I benefit?

    In this practical workshop, you will gain a working knowledge of machine learning and how it could apply to your business. You will learn what machine learning is, what data is required that will equip you with the relevant knowledge to discover opportunities and drive efficiency in your business.

  • How will my organisation benefit?

    Your organisation will gain an individual with an understanding of artificial intelligence and machine learning and how it being applied to business and if it could be applied to your business and context.

    Need customised training for your organisation?

    Contact our team to discuss customising this course to meet your needs.


  • AQF Equivalence, Articulation Pathways CPD Points and Certification

    • You will receive a soft copy University of Adelaide Certificate of Completion.
    • This PACE course may contribute to earning Continuing Professional Development (CPD) points or credit. Many professional associations accredit CPD at a standard rate of 1 hour of professional development / learning = 1 CPD point. This should be used as a guide only and confirmation should be sought from your accrediting body prior to registration in any PACE course or program.

What will I receive as part of this course?

  • Printed course book and materials (PDF copy for tablet on request)
  • Certificate of Completion and training record
  • Refreshments during the day, including a light lunch on full day courses

What should I bring to the course?

Our courses are designed to be work-related and interactive. Please bring current workplace examples related to this topic for use on the day.

What further development can I do?

We recommend Strategic Thinking and Project Management Essentials.

Available course dates:

No dates for this course are currently being offered. Please register your interest for future dates by emailing