303 Computer Science & Engineering (CSE) courses in Leicester delivered Online

Build and publish your own Android game in a few hours with the help of this practical-based course. You will gain a working knowledge of Unity and C# while building a 3D ZigZag racing Android game from start to finish. Learning Unity Android game development will provide you with a strong background to build awesome Android games.

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Do you want to build a simple, reliable, and error-free chatbot for your business? If yes, then this is the course for you! Learn to build a chatbot with Amazon Lex, a fully-controlled AI service with sophisticated natural language models to create, develop, test, and deploy chatbots (conversational interfaces) in applications.

Do you want to learn about Linux, but don't know where to start? Then you are in the right place. Take your first steps with this course. In this course, you will learn Linux installation, configuration, the Linux command line, administration, shell scripting, and much more. It is specially designed for absolute beginners with no prior experience in Linux.

Let's learn the basic concepts for developing chatbots with machine learning models. This compact course will help you learn to use the power of Python to evaluate your chatbot datasets based on conversational notes, online resources, and websites. Garner hands-on practice in text generation with Python for chatbot development.

Why should I learn unit testing? Why spend extra time writing code to test? Is manual testing not sufficient? Well, if you have these questions, then you are on the right course. Unit testing is a very valuable skill in the current development cycle. The purpose is to validate that each unit of the software code performs as expected. So, let's dive into it!

This beginner to the intermediate-level course on .NET MAUI mobile application development enables you to advance your Visual Studio coding skills and implement interfaces using XAML. Learn to develop and publish Minimal API with .NET Core using event driven development while understanding logic and syntax when working on the .NET environment.

Welcome to this dual-phase course. In the first segment, we delve into neural networks and deep learning. In the second, ascend to mastering Generative Adversarial Networks (GANs). No programming experience required. Begin with the fundamentals and progress to an advanced level.

Overview Dive into the dynamic world of computer science with our comprehensive 'Computer Science with Python Course'. Python, a versatile and widely used programming language, serves as the foundation for this course, offering learners a gateway into the intricate realm of computing. From installing Python and understanding its documentation to mastering advanced concepts like closures, classes, and data hiding, this course is meticulously designed to cater to beginners and those looking to deepen their knowledge. With a curriculum that's rich and varied, you'll be equipped with the skills to tackle real-world challenges, making you a sought-after asset in the ever-evolving tech industry. The course curriculum is structured to ensure a smooth learning curve. Starting with foundational topics such as command line usage, variables, and simple Python syntax, learners will gradually progress to more advanced subjects.  In the digital age, proficiency in a programming language like Python is invaluable. Whether you're aiming to kickstart a career in tech, enhance your current skill set, or simply satiate your curiosity, this course promises a transformative learning experience. With a blend of theoretical knowledge and its practical application, you'll be poised to make significant strides in the world of computer science. Learning Outcomes of Computer Science with Python Course: Understand Python's foundational concepts, including its installation, documentation, and basic syntax. Gain proficiency in working with various Python data types such as strings, lists, dictionaries, and tuples. Develop the ability to create and manipulate functions, including lambda functions, generators, and closures. Acquire skills in object-oriented programming with a focus on classes, inheritance, and data hiding. Implement advanced programming constructs and handle exceptions efficiently.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2020/01/Computer-Science-with-Python-Course-Introduction-Video-1.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Computer Science with Python Course? Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Computer Science with Python Course you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Computer Science with Python course for? Beginners eager to delve into the realm of computer science and programming. Individuals looking to add Python programming to their skill set. Tech enthusiasts keen on understanding advanced Python concepts. Students pursuing computer science and needing a comprehensive Python guide. Professionals in tech roles aiming to enhance their coding capabilities. Prerequisites This Computer Science with Python Course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. Career Path Python Developer: £45,000 - £70,000 Annually Data Scientist: £50,000 - £80,000 Annually Software Engineer: £40,000 - £75,000 Annually Backend Developer: £45,000 - £72,000 Annually Systems Analyst: £35,000 - £60,000 Annually DevOps Engineer: £50,000 - £85,000 Annually Course Curriculum Module 01 A Installing Python FREE 00:17:00 Documentation 00:30:00 Command Line 00:17:00 Variables 00:29:00 Simple Python Syntax 00:15:00 Keywords 00:18:00 Import Module 00:17:00 Module 02 Additional Topics 00:23:00 If Elif Else 00:31:00 Iterable 00:10:00 For 00:11:00 Loops 00:20:00 Execute 00:05:00 Exceptions 00:18:00 Module 03 Data Types 00:24:00 Number Types 00:28:00 More Number Types 00:13:00 Strings 00:20:00 More Strings 00:11:00 Files 00:08:00 Lists 00:15:00 Dictionaries 00:04:00 Tuples 00:07:00 Sets 00:09:00 Module 04 Comprehensions 00:10:00 Definitions 00:02:00 Functions 00:06:00 Default Arguments 00:06:00 Doc Strings 00:06:00 Variadic Functions 00:07:00 Factorial 00:07:00 Module 05 Function Objects 00:07:00 Lambda 00:11:00 Generators 00:06:00 Closures 00:10:00 Classes 00:09:00 Object Initialization 00:05:00 Class Static Members 00:07:00 Classic Inheritance 00:10:00 Data Hiding 00:07:00 Mock Exam Mock Exam - Python Developer 00:20:00 Final Exam Final Exam - Python Developer 00:20:00

Gain a thorough grasp of time series analysis and its effects, as well as practical tips on how to apply machine learning methods and build RNNs. Learn to train RNNs efficiently while taking crucial concepts such as overfitting and underfitting into account. The course offers a useful, hands-on manner for learning Python methods and principles.