Building deep tech capabilities through world-class learning opportunities | SGInnovate

Artificial Intelligence

  • Foundations of Deep Learning

    This Workshop is the first module of the Deep Learning Developer Series and is a prerequisite to the advanced Deep Learning modules. It goes through both the overall concepts and techniques for not only understanding, but building a variety of Deep Learning models for tabular data, image data, audio data and text data.

  • Advanced Computer Vision with Deep Learning

    In this module, we go beyond the basic skills taught in module one such as Convolutional Neural Networks (CNNs). This would expand your ability to build modern image networks using a variety of architectures and for applications beyond simple classification.

  • Advanced Natural Language Processing (NLP) and Temporal Sequence Processing

    This is the last run of the Deep Learning Developer Workshop Series – Don’t miss this chance to learn new AI competencies from leading professionals! In this module, we dive deeper into some of the latest Deep Learning techniques for text and time series applications.

  • Unsupervised, Self-Supervised and Reinforcement Learning

    In this module, we dive deeper into some of the latest techniques for using Deep Learning through Unsupervised, Self-Supervised and Reinforcement Learning.

  • Building AI Applications for the Real World

    In this module, we will focus on building and training basic neural networks, getting these models into production in real-world applications such as cloud, mobile and even on hardware devices.

  • Machine Learning For Humans: How to think like a Data Scientist

    “Machine Learning for Humans” seeks to develop the cognitive capacities of participants, to help them think like a Data Scientist. These include learning to frame problem statements using the lens of Data Science, understanding the data requirements, and designing and selecting the most appropriate Machine Learning models that can be used to address various problem statements. Upon completion of the course, participants will receive a Certificate of Completion issued by Ngee Ann Polytechnic.

Blockchain

    Cybersecurity

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