47225 Courses in Glasgow delivered On Demand

Be enthralled in a full guide to building a game environment in UE5, from creating a landscape to making water flow through your mountains, and learn the best way to place environmental details with this course for beginners. We will go over the entire Quixel library and add realistic elements using the Niagara particle system to build our 3D environments.

Join this course to take your 3D modeling skills up a notch! Graduate to the next level of game design by learning all about the Blender to Unreal Engine 5 (UE5) professional workflow for medieval dungeon props. You will learn how to build assets in Blender and then how to import them into Unreal Engine 5 for your project.

This beginner's course exclusively delivers Python programming from basic to advanced. You will learn Python concepts in real-life programming examples by building real-world applications. Learn the syntax of Python language and understand the logic behind the programming process to create your Python programs successfully and master Python coding.

Would you like to have a good command of Linux, one of the most important and widespread operating systems? This Linux Crash Course for Beginners will teach you the basics of Linux administration, including downloading and installing VirtualBox and PuTTY, along with helpful demonstrations on the use of Linux CentOS 7 in order to improve your technical skills and know-how of this popular operating system.

Unlock the world of web development with our comprehensive course! Whether you are a beginner or looking to enhance your coding skills, our masterclass will take you on an exciting journey. A project-based course that will help you learn and implement HTML, CSS, and JavaScript. With hands-on experience, you will design web pages, add interactive elements, and create a polished final project. Gain practical skills, optimize your coding workflow, and create professional web applications.

In this self-paced course, you will learn how to use TensorFlow 2 to build deep neural networks. You will learn the basics of machine learning, classification, and regression. We will also discuss the connection between artificial and biological neural networks and how that inspires our thinking in deep learning.

In this self-paced course, you will learn how to use TensorFlow 2 to build convolutional neural networks (CNNs). You will learn how to apply CNNs to several practical image recognition datasets and learn about techniques that help improve performance, such as batch normalization, data augmentation, and transfer learning.

In this compact intermediate-level course, you will learn how to use Facebook Prophet to do time series analysis and forecasting. You will learn how Prophet works under the hood and the Prophet API. We will apply Prophet to a variety of datasets, including store sales and stock prices.

In this self-paced course, you will learn how to use TensorFlow 2 to build recurrent neural networks (RNNs). You will learn about sequence data, forecasting, Elman Unit, GRU, and LSTM. You will also learn how to work with image classification and how to get stock return predictions using LSTMs. We will also cover Natural Language Processing (NLP) and learn about text preprocessing and classification.

This video course is designed to teach you about the latest WidgetKit developments in iOS 16, and how to use them with SwiftUI. You will learn about new features such as live activities and Dynamic Island, and explore how to create dynamic widgets for your iOS applications using SwiftUI. It's a great way to enhance your skills and create high-quality widgets.