This applied learning workshop comprises two learning phases: 

Phase 1 (2 days) prepares participants with the foundational skills and knowledge required to get started with machine learning development. In this phase, we explain the various machine learning techniques, share use cases, prepare machine learning-ready data, perform modelling and prediction, followed by hands-on lab exercises. 

Phase 2 (2 days) focuses on project development facilitation. Participants will form project groups of 1 to 4 participants with a real project in-hand. And a mentor will be assigned to facilitate the engagement of the real project amongst project participants. 

Learning Objectives: 

At the end of the course, you will be able to: 

• Learn the building blocks of Machine Learning solution 
• Gather and prepare data for Machine Learning 
• Train, evaluate and deploy the model
• Apply Machine Learning on a real use-case or other scenarios in the project (Phase 2).