5136 Computing & IT courses delivered Online

It doesn't matter where you are in your web development journey, and you will benefit if you have at least a little knowledge of AJAX. If you have an interest in advancing in AJAX, getting better in the world of full-stack programming, and knowing how you can use AJAX in a practical way to perform CRUD operations-then this course is for you.

This ARM assembly programming course will help you gain a solid understanding of bare-metal firmware development for ARM-based microcontrollers. You'll learn how to navigate the microcontroller reference manual and datasheet to extract the right information to build peripheral drivers and firmware like a pro. This course does not use any libraries and only applies the ARM assembly language.

This course introduces you to the paradigm and features of object-oriented programming using Java, an object-oriented language popular in the industry and IntelliJ. The course entails modeling objects and classes, object-oriented facilities like inheritance and polymorphism, native data structures, exception handling, file management, and streams.

Explore ChatGPT, a cutting-edge world of AI content creation, with our comprehensive course. This meticulously curated program unravels the technology behind ChatGPT to practical applications in machine learning, social media, data analysis, and image generation. This course unveils new facets of AI to navigate this evolving landscape with prowess.

In this course, we will master the syntax and structure of RSpec then learn to utilize test-driven development principles to design and implement clean test specs and reduce dependencies in the test suite by mocking objects with class and instance doubles. We will also explore the wide collection of RSpec matches available to test the code.

Learn to code in C++, one of the oldest and most popular programming languages in the market. This course is created to quickly give you the knowledge and practice you really need to master C++ basics. We will cover core concepts such as variables, arrays, vectors, functions, scope, namespaces, loops, references, prototypes, and more.

The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.