Through Artificial Intelligence (AI), machines such as a computer can perform tasks that normally require human intelligence. Most AI today are powered by some form of learning - Machine Learning, Deep Learning, Computer Vision, or Natural Language Processing. The AI field in Singapore is poised to grow and develop further, as companies in all sectors look towards AI adoption and implementation. Our courses below will provide you with updated and relevant skills to take on an AI role.
Machine Learning (ML) is a field that involves computational methods that ‘learn’ or methods that leverage data to improve performance on a given task. This micro course is an introduction to how ML works.
This micro course presents the fundamentals of Convolutional Neural Networks (CNN), a type of Neural Network (NN) within Artificial Intelligence that is often used to solve image-related problems.
This micro course introduces the fundamentals of Recurrent Neural Networks (RNN), a type of Neural Network (NN) that is used to solve problems related to time series data, text data and audio data.
This micro course uncovers the mathematics behinds Gradient Descent, an algorithm used to find a local minimum/maximum of a given function which is commonly used in Machine Learning and Deep Learning.
Learn to automate tasks using ChatGPT and other AI tools while understanding potential pitfalls. Enhance your skills, increase efficiency, and gain a competitive edge in the digital landscape. Transform your workflow and stand out from the competition!
This course sharpens your questioning and prompt crafting skills for generative AI models, highlighting their importance in AI performance optimisation. With hands-on activities and real-life scenarios, you'll learn techniques for creating diverse AI applications and strategies for evaluating prompt effectiveness in AI-assisted content generation.
This is a one-day course empowering educators with the knowledge and skills to utilise AI, particularly ChatGPT, to create engaging and enriching learning experiences. Gain in-depth understanding of AI's capabilities, limitations, and its real-world applications to maximise educational outcomes.
This introductory course for individuals who are keen to get an overview of AI and its applications.
AI's transformative impact on our lives and industries necessitates efficient project management for AI initiatives. We are 're offering a one-day workshop to address this need, as well as provide critical skills and insights for successful AI project management. The workshop tackles AI project challenges, applying the Agile framework in this context, and the six pivotal phases of managing AI projects.
Embark on a self-paced learning journey with our Essentials of Artificial Intelligence with Python course. Gain hands-on Python experience, understand fundamental AI concepts, and learn to develop AI solutions at your own pace. This course is perfect for those ready to upskill and embrace the AI revolution.
This course introduces participants to the Python programming language, with a specific focus on data science. This means the skills and knowledge required to conduct and problem solve data science experiments programmatically.
This workshop that will take participants through various code-free tools and platforms to experience machine learning without programming.
Have you ever wondered how Netflix recommends the perfect show for you to watch? Uncover the magic behind it with our Essentials of Machine Learning course! Learn how predictive models analyse your viewing habits to suggest your next binge-worthy series. Sign up for our course to unlock the secrets of this cutting-edge technology and become a master of machine learning!
goML is an applied learning workshop that provides the foundational skills and knowledge to start in Machine Learning development, coupled with a project development facilitation.
Participants will learn specific concepts and advanced techniques of machine learning, such as Support Vector Machines, Random Forest, Boosting and Stacking, Cross Validation, Pipeline and many more.
This comprehensive two-day course teaches you to construct, enhance, and oversee machine learning workflows. It covers data strategies, Tensorflow pre-processing, model analysis, and deployment, using tools like Apache Beam and Airflow for a hands-on pipeline orchestration experience.
Ever wondered how self-driving cars and Siri work? Unlock the secrets of AI technology with our engaging two-day e-Learning course! Learn Deep Learning essentials using Python, master pattern recognition, and get hands-on with Keras in interactive projects. Begin your journey toward understanding and building neural networks today!
Participants will learn the fundamentals of Deep Learning with Python, and an understanding on techniques used to teach computers how to recognise different objects and patterns.
This course equips participants with knowledge to develop framework for deep learning optimisation, and techniques to optimise generalisation and prediction.
Unlock the future of AI with Advanced Deep Learning! This course is vital in today's tech-driven world, as mastering Long-Short Term Memory (LSTM), Generative, Autoencoder, and Attention mechanisms will empower you to tackle intricate real-world challenges. Grasp these tools and become an indispensable asset in the ever-evolving field of artificial intelligence. Join us now!
In this course, participants will learn the features, advantages and disadvantages of Cloud Computer Vision. Through the hands-on workshop, participants will develop simple applications that implement the Cloud Computer Vision.
This course introduces participants to the field of computer vision and basic image processing.
This course covers advanced deep learning techniques, and participants will learn to conduct transfer learning, object detection and localisation, image segmentation, and image generation.
This hands-on course will teach participants how to build, analyse and deploy chatbots with the help of Dialogflow.
goChatBot is an applied learning workshop where participants will be trained and then mentored on their journey towards creating their chatbots.
Participants will learn various machine learning models to train automatic speech recognition. Participants will also get to build a customised speech recognition engine from scratch.
This course covers techniques for analysing videos to detect and determine and temporal and spatial events.
Participants will be introduced to machine learning and deep learning, with a focus on image recognition. Participants will also use tools such as Keras, TensorFlow and Jupyter Notebook to create the deep learning models.
This module covers the development of artificial intelligent (AI) solutions for computer vision (CV) problems. The solutions will use classical, modern, or/and cloud-based image processing and analysis methods.
This module introduces participants to the use of open-source data platforms and frameworks to store large amount of data. Participants will also get to familiarise with data management and the development of databases for operations.
This module covers concepts such as Supervised and Unsupervised Learning. Learn to use open source Python libraries like Scikit-learn, Pandas and Numpy to preprocess datasets, train, test and evaluate different Machine Learning (ML) models. Choose between ML models such as Linear Regression, k-NN, Naïve Bayes and K-Means to solve problems through regression, classification and/or clustering.
This module introduces students to the development of AI solutions for Natural Language Processing (NLP). Participants will acquire knowledge in common NLP tasks, and the different approaches used to design and perform these tasks.
This module equips students with the fundamentals of programming using Python. Participants will be able to create software to solve simple programming problems related to AI.
This module introduces you to the fundamental underpinnings of Artificial Neural Networks (ANN), Convolution Neural Networks (CNN), Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM) networks, supported with practical work that involves participants developing and deploying ANN, CNN, RNN, and LSTM.
This one-year programme will help participants who have experience in the IT industry to broaden their skillsets in the AI field, or deepen their knowledge in the use and implementation of AI.
This one-year work-study programme will help fresh diploma graduates get a head start in their career by enabling them to deepen their skills and knowledge, and at the same time supporting their transition into the work place. Participants will be working full-time in the areas relating to AI while pursing the Specialist Diploma.