965 Programming Languages courses delivered Online

Increase your cybersecurity capability by learning to perform dynamic and static malware analysis!

Make your code and programs faster and more efficient by using algorithms

Begin your machine learning journey by learning all about linear regression, logistic regression, and cluster analysis

In this course, we'll create Python APIs with the Django REST framework. We'll be using an existing project called Todo and learn how to add an API to it. This course requires beginner-level experience with Django; if you've created a Django project before, it will be beneficial.

Unlock your creative prowess in the exhilarating realm of game development through this course. This step-by-step guide empowers you to grasp the nuances of crafting captivating 2D games using Python and the robust Pygame library. Understanding of concepts such as control flow, data structures, and object-oriented programming would be beneficial.

In this course, we will understand the absolute basic concepts of programming. Learn essential C# scripting for game development by building 20+ mini projects. We will also build 2D games with Unity and C#, and master C# by building these games with Unity.

Implement machine learning-based clustering and classification in Python for pattern recognition and data analysis

In this course, we will explore some features introduced recently in the language and a few important things that should be kept in mind while programming JavaScript. Learn some important JavaScript concepts and hacks to eliminate your fear of coding and improve your JavaScript coding skills. This course expects a fair understanding of JavaScript to start with.

This is an introductory course on machine learning. The course covers a wide range of topics, from handling a dataset to model delivery. Some prior training in Python programming and basic calculus knowledge will help you get the best out of this course.

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.