Digitalisation for Everyone
About This Course
Identify the key characteristics of a typical work processes, activities or tasks that are amenable for digitalisation
Explain Robotic Process Automation (RPA) and a typical workflow of a RPA project
Identify workplace processes, activities or tasks that lend to effective deployment of RPA
Understand Data Analytics and the workflow of a data analytics project
Identify benefits that can be gained with insights into data captured of existing work processes, activities or tasks
Understand Machine Learning (ML) and the different stages of a typical ML project including the challenges
Differentiate between supervised and unsupervised learning in ML and identify workplace activities that can apply and benefit from ML
Understand Cloud-based solutions
Identify the opportunities and pros and cons of cloud-based solutions, including migration pathways where applicable
Map the application of various digital technologies to their digitalisation initiatives through the use of a feature-based checklist
What You'll Learn
Entry Requirements
Proficiency in English