Certificate in Artificial Intelligence for People Analytics
Artificial intelligence (AI) and machine learning is at the heart of the fourth industrial revolution which is taking the economy by storm and it will change how we work and what work means for us and our future generations ahead. Come discover what AI means for the human resource (HR) sector and how it can be applied in the space of talent analytics, and be equipped with the necessary skills and knowledge to take advantage of the next wave of industrial changes with confidence.
Spanning a total duration of 2 days, this course seeks to empower participants with a sound grounding in artificial intelligence and machine learning techniques in solving pressing human resource challenges, where learning is facilitated with up-to-date case studies and applications in areas such as strategic decisions making in terms of employee recruitment, retention, prediction of employee performance across time, management of risk due to attrition, payroll analytics, compensation and benefit analysis and better management of employee engagement in responding to queries through the adoption of text analytics.
In particular, this course is an extension of the “Certificate in Applied Talent Analytics” and covers more grounds and depth in terms of advanced artificial intelligence and machine learning modelling techniques, model evaluation and how to tackle issues facing deployment of analytical solutions at the departmental and organizational level.
Certificate / Award
A Certificate of Achievement will be awarded by STADA for participants who meet the minimum course requirements of passing a Quiz at the end of the course.
Participants who fail to meet the passing criteria but have attended at least 75% of the course will be awarded a Certificate of Participation.
Who Should Attend
This course is an extension of the “Certificate in Applied Talent Analytics” and covers more grounds and depth in terms of artificial intelligence and machine learning modelling techniques, model evaluation and how to tackle issues facing deployment of analytical solutions at the departmental and organizational level.
Participants with the relevant training and background in terms of knowledge and/or working experiences with analysing data in areas of business intelligence, business analytics and predictive analytics are welcome to apply.
||Overview of Artificial Intelligence (AI) involving Machine Learning Tools and Techniques
||Applications of Regression Modeling: Making sense of advanced regression models
||Advanced Artificial Machine Learning Algorithms and Models
||Model Deployment and Model Management
||Case Studies and Applications
||Practical application: Applying principles of analytics using analytics software