Melbourne Business School
Generative AI for Business
- Delivery: Face to Face
- Study Level: Intermediate
- Duration: 2 days
- Course Type: Short Course
- Total Price: $3,500
Unlocking transformative potential.
On this page
Course overview
Utilise Generative AI to drive growth, innovation, and a competitive edge.
65% of organisations are already regularly using Generative AI in at least one business function (McKinsey, 2024).
Used wisely, Generative AI has the potential to drive growth, nurture innovation and provide your organisation with a competitive edge.
Led by top educators from Melbourne Business School and the University of Melbourne, develop a deeper understanding of the fundamentals of Generative AI to unlock innovative applications and address the associated risks.
At the completion of the program, you will have your own practical business strategy that outlines how to integrate Generative AI with your broader business goals, ideas for where to invest, and execution plans to ensure its responsible use and long-term value.
Join the two-day program to discover the tools, and technologies to better harness the power of Generative AI in your business.
Key facts
25th March, 2026
9th September, 2026
What you will study
- Demystifying data, analytics and artificial intelligence - Learn the essential language of AI and large language models.
- Cracking the code of AI - Core concepts and business applications.
- Generative AI - The game changer for innovation and strategy.
- Generative AI in action - Applications and the power of prompt engineering.
- RAGs and fine-tuning - Optimising AI for targeted business solutions and mitigating risk.
- AI safety and governance - Ensure responsible innovation.
- AI’s future - Insights beyond the hype and looking to the future.
- Building an AI strategy - From business-casing to execution.
Who should attend
Senior Executives and Business Leaders
- Those responsible for driving innovation, strategy and decision-making within their organisations.
Managers and Decision-Makers
- Managers and decision-makers in any industry and context looking to understand Generative AI’s potential, optimise business processes and enhance data-driven decision-making within their teams.
Outcomes
The possibilities of AI and Generative AI
- Understand the tools, technologies and opportunities available for innovation and business growth.
Formulate a business strategy
- Design your own practical business strategy that integrates AI and Generative AI into your organisation’s broader goals.
- Maximise return on resources and leverage opportunities.
High-impact use cases
- Identify high-impact use cases from specific functions (e.g. marketing, HR) and make decisions about where to best deploy Generative AI, relevant to your context.
Lead the change
- Responsibly accelerate Generative AI adoption by enabling and empowering your people to be part of the transformation.
Responsible AI use
- Be aware of the ethical considerations.
- Learn how to maintain regulatory compliance.
Who You Will Learn From
Yalçın Akçay
Program Director and Professor of Operations
Yalcin is a Professor of Operations Management at Melbourne Business School. He holds a dual-title PhD degree in Business Administration and Operations Research from Pennsylvania State University. Yalçın’s research focuses on revenue management, dynamic pricing, inventory management, retail operations, stochastic modelling of service and manufacturing systems.
Ujwal Kayande
Program Director and Professor of Marketing
Ujwal teaches Marketing Strategy, Marketing Analytics, Digital Product Management, and Business Analytics in MBA and Executive Education programs. He has delivered short programs on data analytics to over 2000 senior executives across the world. His research focuses on measurement and understanding market phenomena, including consumer decision making, firm actions, and competitive interactions between firms. He currently serves as an Advisor to L'Oréal, Forethought, Lauretta.io, and Zetaris.
Jeannie Paterson
Program Director
Jeannie is a Professor of Law and the Director of the Centre for AI and Digital Ethics at the University of Melbourne. Jeannie’s teaching and research focuses on consumer and data protection law in the context of emerging digital technologies, including issues of fairness, privacy, transparency, security and existential risk in the emergence of AI. Jeannie has a track record of consultation and collaboration with government, industry, regulators and community legal centres, as well as being a regular media commentator.
Eduard Hovy
Program Director
Eduard is the Executive Director of the University of Melbourne’s Melbourne Connect and Professor in the School of Computing and Information Sciences. He completed a PhD in Artificial Intelligence at Yale University. After a period in Carnegie Mellon University's Language Technologies Institute, he served as a Program Manager at DARPA in Washington.