Earning Criteria

• Earner has completed this micro-credential via the Graduate Certificate in Professional Studies pathway or has selected a single course of study from the listed Griffith Professional micro-credentials
• Earners have recognised how a machine learning solution solves a business problem
• Earners can manipulate business data on a platform to perform simple processes of knowledge discovery.
• Earners know how to represent real-world problems in logical systems and use computational logic methods to provide solutions
• Using business-oriented examples, earners have demonstrated that a high-level decision process can be supported by methods of automated reasoning
• Earners have generated an Ontology using the Protege client.
• Earners have applied a formal ontology approach to devise a top­level description of a business context.
• Earners have trained a neural network to forecast sales and devise a marketing plan using TensorFlow.
• Earners have used the TensorFlow platform to build a deep learning mechanism for sales forecasting and to create  a marketing plan.
• Earners have devised a practical Al solution that addresses a business challenge
• Earners have conducted research and submitted a report that proposes the role of Al in a specific business application.