Melbourne Business School
AI for Business
- Delivery: Face to Face
- Study Level: Intermediate
- Duration: 2 days
- Course Type: Short Course
- Total Price: $3,500
Build the knowledge and strategy to lead responsible Generative AI adoption.
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Course overview
Designed for senior executives, business leaders, managers and decision-makers, MBS’s AI for Business short course provides a practical introduction to AI and Generative AI in a business context. Over two immersive days in Carlton, you will explore AI fundamentals, business applications, prompt engineering, targeted solutions, safety and governance.
Through expert facilitation, practical demonstrations, case studies and hands-on exploration, you will identify high-impact use cases and assess where Generative AI can create value within your organisation. You will leave with a practical business strategy that connects AI opportunities with broader business goals, investment priorities, responsible adoption and execution.
Key facts
10th March, 2027
14th April, 2027
16th June, 2027
8th September, 2027
10th November, 2027
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.
- Retrieval-augmented generation (RAG) 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 building the business case 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.