Melbourne MicroCerts

The Future of Women at Work

This Melbourne MicroCert series explores how automation is changing the work we do, and the related gender trends and implications. It will arm you with a fundamental understanding of artificial intelligence (AI) and automation – and how these could affect your profession.

Led by Professor Leah Ruppanner, you will explore how our current technological wave differs from those of the past. You will gain accessible insights into concepts such as big data, algorithms, AI and automation. Crucially, you will explore which skills will be sought after in future workplaces – and how to attain them.

This Melbourne MicroCert is part of our Future of Women at Work series, which examines the policy, digital skills and interpersonal approaches necessary to establish gender equity in our future workplaces. 

MicroCerts

  • Automation is rapidly transforming the way we work. Research shows women could be disproportionately impacted by these shifts.

    This course will give you a better understanding of technological change and how to future-proof your own career.

  • In our shifting world of work, the capacity to adapt to technological and social disruption is more important than ever.

    This Melbourne MicroCert is ideal for professionals of any sector who want to future-proof their careers and increase their adaptability within our era of rapid technological change.

  • As artificial intelligence (AI) and automation become more prevalent across workplaces in all sectors, ensuring policies appropriately factor for the social and ethical implications of these technologies is increasingly important.

    This course is ideal for professionals wanting to be prepared for the policy challenges that accompany technological advancement.

  • Data is a crucial tool in today's workplaces – but it can often be skewed in ways that reinforce gender biases.

    This Melbourne MicroCert is ideal for professionals from any sector seeking the tools to understand how data can hold inherent bias, and how this impacts organisational decision making.