Course Briefing

Specialist Diploma in

Applied Artificial Intelligence

Tin Aung Win (Course Manager)

Why Learn AI?

AI in National Agenda

InfoComm Media Transformation Map (ITM) by IMDA

Learning Outcomes of SDAAI

The course is carefully designed for participants with Science, Technology, Engineering or Mathematics (STEM) background. Upon graduating from the course, you will be able to:• Understand and explain artificial intelligence principles and

practices, and its applications in different business domains • Perform data gathering, extraction, transformation, visualization,

training and testing for building machine learning models• Develop, test and deploy AI solutions using machine learning and

deep learning algorithms, AI services APIs, software frameworks and tools, in different problem domains• Analyse, tune and optimize the data set, machine learning and deep

learning models for performance improvements

Specialist Diploma in Applied AI

• Commencing on 15 April 2019

• Applications closed on 15 Mar 2019

• Class size of up to 30

• Total Course Duration of 300 hours

• Consists of two Post Diploma Certificates (150 hours each):

• PDC in AI Foundation and Machine Learning

• PDC in Deep learning and AI Applications

• Total 10 modules (30 hours each)

• 8 course-work and 2 project modules

• No final examinations for all modules but appropriate regular assessments

Entry Requirements

• Science, Technology, Engineering or Mathematics (STEM) Degree

graduates or experience in any one of the domains; or

• Having attended a Specialist/Advanced Diploma in Data Analytics

or related courses; or

• Polytechnic diploma graduates in IT, Engineering or related

disciplines, with a minimum of 2 years' relevant working

experience.

• Applicants who do not meet the entry requirements may be

considered for admission to the course based on case-by-case evaluation:

• The Polytechnic reserves the right to shortlist and admit applicants.

Course Fees

Same as PDC-1

PDC in AI Foundation and Machine Learning:15 Apr – 21 Aug 2019 - Course Schedule

PDC StructurePDC in AI Foundation & Machine Learning

No Module Name Module Hours

1 Introduction to Artificial Intelligence 30

2 Data Science Foundation 30

3 Essentials of Machine Learning 30

4 Machine Learning Algorithms 30

5 Machine Learning Project 30

Duration of PDC-1 150

PDC StructurePDC in Deep Learning and AI Applications

No Module Name Module Hours

1 Foundations of Deep Learning 30

2 Deep Learning Networks 30

3 AI Application with Deep Learning 30

4 Applications Development Using AI Services 30

5 Deep Learning Project 30

Duration of PDC-2 150

Language and Tools

• Language: Python• Environment: Jupyter• Container: Docker• Frameworks/Libraries: Scikit-Learn, Numpy, Pandas, Keras,

Scrapy, Matplotlib, Tensorflow, MLXtend,Spark, Android Studio, and others

AI Services: Google Cloud ML, Microsoft Cognitive Services

Hardware: GPU ( Cloud/Native)