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.
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.
Through this three-day workshop, you will gain a deeper understanding of the OT Cybersecurity ecosystem as we touch on concepts like embedded systems, protocols fundamentals, known vulnerabilities discovery, forensic investigation and process exploitation.
“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.
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.
Designed for anyone who has little or no prior knowledge in Cybersecurity, this course will equip you and your organisation with defence mechanisms to mitigate the risks of cyber vulnerability; allowing you to react to present and future Cybersecurity challenges.
This workshop is currently full, we apologise for any inconvenience caused. Please register your interest for the next session with the button below.
In this module, we dive deeper into some of the latest techniques for using Deep Learning through Unsupervised, Self-Supervised and Reinforcement Learning.
Throughout this workshop, you will be able to identify critical security risks and problems posed by new technologies and business practices and define security specifications which fulfil security objectives and functional requirements.
Build the foundations for an exciting and lucrative career in blockchain and distributed ledger technology. Together with Kingsland University – School of Blockchain and Ngee Ann Polytechnic, SGInnovate is pleased to introduce a 1 Day Technical Seminar on Building blocks: Introduction to Blockchain.