Academy for Continuing Education (ACE)

For many, learning to code has always been the first and biggest obstacle into the world of computer science. Many people run into the hurdle of writing a simple line of code, much less developing a useful Artificial Intelligence (AI) program that can help them predict their customers’ preference and recommend a suitable product that meets their needs. 

With the recent advancements in AI and Machine Learning, the world is entering into a Code-free era where you can create your very own program without writing a single line of code! Using a variety of Code-free machines, you can teach machines to learn and apply these useful knowledge to solve everyday problems on their own. These Code-free machines often come in guided platforms, offering classic drag-and-drop functionality to fully automated machine learning services suitable for beginners and Machine Learning professionals alike. 

In this one-day hands-on workshop, you will learn to create many cool programs ranging from training an image classifier to building a book genre predictor with no code at all!

Learning Objectives

Upon completion of this course, you will gain a deeper understanding and practical knowledge on the following topics:

• Overview of Machine Learning 
• Machine Learning workflow
• Solving a regression problem 
• Training an image classifier 
• Performing sentiment analysis
• Building a book genre predictor

Who should attend?

This course is designed for anyone with a keen interest in making full use of data to make useful predictions.

Entry Requirement 

Participants should be IT-savvy and comfortable with performing basic software setup and configuration. Although no prior knowledge in AI is required, participants should have a basic understand and appreciation of AI or have completed the AI for Everyone – A Practical Experience Workshop. 

Certification

Participants will be awarded a certificate of completion upon meeting the 75% course attendance requirement.

For courses with assessment component, participants will be awarded the certification of completion upon passing the assessment. Otherwise, a certification of attendance will be issued instead upon meeting the 75% course attendance requirement.

Trainers Profile

Jimmy Goh is a Senior Lecturer in Republic Polytechnic, School of Infocomm. He joined RP since 2006 and he had taught several different modules including programming, software engineering, databases, web and mobile developments, and Agile/SCRUM. His PhD research area was Artificial Intelligence (AI) in Education. His current interest is in Deep Learning and Computer Vision. He is the trainer for several Continuing Education and Training (CET) courses in Deep Learning and Computer Vision.  Companies that Jimmy had trained include MHA and MINDEF.