SPECIALIST DIPLOMA IN APPLIED ARTIFICIAL INTELLIGENCE

SPECIALIST DIPLOMA IN APPLIED ARTIFICIAL INTELLIGENCE

About the Course

Artificial Intelligence (AI) is having a transformational effect on the broad industry. It greatly influences the way we conduct businesses and the way we make decisions. It disrupts existing business models, industries and creates new ones. With advances in algorithms, computing power, and the availability of massive amount of data, AI capabilities will continue to enhance and create new ways to solve a wide range of problems and challenges that seem impossible to surmount only a few years ago. In Singapore, AI has been identified as one of the key technologies in Singapore Industry Transformation Map and will be key to growing our digital economy.

The Specialist Diploma in Applied Artificial Intelligence aims to equip the graduates with a strong foundation in AI concepts and practical skills in architecting and developing end-to-end AI solutions. Throughout the course, students will gain hands-on experience to use industry standard tools and techniques and apply them to the real-world problems.

The knowledge and skill sets gained from this course will prepare the graduates for a career in AI-related jobs across a broad spectrum of industries.

  • Target Participants

    Professionals with IT and/or STEM education background

  • Certification

    Participants will be awarded the Specialist Diploma in Applied Artificial Intelligence upon successful completion of the following two Post-Diploma Certificates:

    • Post-Diploma Certificate in AI Foundation and Machine Learning
    • Post-Diploma Certificate in Deep Learning and AI Applications
  • Admission Requirements

    Applicants should be degree graduates in IT, Engineering, Science or related disciplines 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: Evidence of at least 5 years of relevant working experience; OR Supporting evidence of competency readiness. Interview and/or entrance test. The Polytechnic reserves the right to shortlist and admit applicants.

  • Course schedule (conducting days & time)

    Lessons are either conducted online via Zoom or face-to-face in a school. PCs are provided for the lessons if conducted in school. Some of the lessons will be conducted off-campus through facilitated e-learning. There will be two to three assessments per module for the coursework modules. All modules do not have final examinations. Assessments range from the practical test, written tests, quizzes, and assignments.

  • What You'll Study

  • Programme structure

    PDC in AI Foundations and Machine Learning comprises four 30-hour coursework modules and one 30-hour project module. The duration of this PDC is 150 hours. "Introduction to AI" module introduces fundamentals of classical AI versus modern AI, Python programming, foundational mathematic, and AI ethics. "Data Science Foundation" module covers data gathering, extraction, transformation, visualization, and preparation techniques. The two machine learning modules, "Essentials of Machine Learning" and "Machine Learning Algorithms" provide participants to the machine learning concept with knowledge and skills in AI application design, data preparation, modelling, implementation, testing, and deployment scenarios using machine learning. Students also learn how to approach domain-specific problems, including how to evaluate and resolve data and model-related issues commonly associated with machine learning applications. The team-based project module, "Machine Learning Project", sums up the knowledge and skills learned in the four coursework modules of this PDC and apply them to develop AI applications for selected business scenarios. This PDC is taught using Python programming language with the established Python tools, frameworks, and libraries.

    The PDC in Deep learning and AI Applications comprises four 30-hour coursework modules and one 30-hour project module. The duration of this PDC is 150 hours. In the "Foundations of Deep Learning" module, learners are introduced to essential theories and practice in different types of deep learning networks together with their applications in solving problems in different business domains. In the "Deep Learning Algorithm" module,  learners are introduced with knowledge and practical skills in the different deep learning networks, in particular in Convolutional Neural Networks (CNN) and Recurrent Neural Network (RNN). These two deep learning modules provide learners with adequate knowledge and skill to explore natural language processing (NLP), computer vision, autonomous systems, or robotic process automation problems and solutions in "AI Application with Deep Learning" module."Application Development using AI services" module provides knowledge and skills on how to use and deploy solutions using pre-build deep learning models via cloud services APIs without requiring much pre-training or deep expertise in AI or Data Science. The team-based project module, "Deep Learning Project", sums up the knowledge and skills learned in the four coursework modules of this PDC and applies them to develop Deep learning applications for selected business scenarios. This PDC is taught using Python programming language with the established Python tools, frameworks, and libraries including GPU systems provisioned in a cloud environment.

  • Course delivery methods and assessments

    Lessons are either conducted online via Zoom or face-to-face in a school. PCs are provided for the lessons if conducted in school. Some of the lessons will be conducted off-campus through facilitated e-learning. There will be two to three assessments per module for the coursework modules. All modules do not have final examinations. Assessments range from the practical test, written tests, quizzes, and assignments.

  • Course Fees and Funding

  • Contact for course enquiries

    Mr TIN AUNG WIN, tin_aung_win@nyp.edu.sg, Tel No:65501752
    Mr MAR KHENG KOK, mar_kheng_kok@nyp.edu.sg, Tel No:65501647
    Ms KOH ANGELINE, angeline_koh@nyp.edu.sg, Tel No:65501604
  • Remarks

    1) Fees quoted in the Course Fees Table are inclusive of GST. They are based on prevailing funding policies and subject to review by SSG basis. Terms & conditions apply.

    2)Singapore Permanent Residents will only be eligible for subsidy for first part-time diploma and first post diploma (i.e. first Advanced Diploma, first Specialist Diploma and first Diploma (Conversion) respectively). This is subject to SPR not having previously attained a qualification at the diploma or higher level that was subsidised through a MOE subsidy or Government sponsorship.

    3) NYP reserves the right to reschedule/cancel any programme and amend the fees/info without prior notice.

    4) Please refer to Course Website for details for course.