●Gather and interpret data from various sources to define an AI solution to a real-life world problem.
●Critically analyse data and create a solution design document (SDD) that defines an artificial intelligence (AI) solution that solves a real-life world problem.
●Choose a type or category of AI learning and the relevant algorithm to analyse data, gain insight and make subsequent prediction, or create a determination with it.
●Train the AI model through a machine learning process and ensure that model accuracy is strictly maintained within the selection framework.
●Select a machine learning system and build an artificial intelligence (AI) solution to a real-life world problem.
●Implement and run the AI solution on a selected platform and check the prediction results in real-life use, then select and run the AI solution on a platform.
