733 Computing & IT courses delivered Online

Docker enables you to separate your applications from your infrastructure so that you can deliver software quickly. With this course, you'll learn to run Windows Containers, Dockerize ASP.NET Core/Frameworks apps, and set up CI Pipelines with Azure DevOps. Familiarity with .NET Framework and .NET Core application deployment workflows is required.

The course is crafted to reflect the most in-demand workplace skills. It will help you understand all the essential concepts and methodologies with regards to PySpark. This course provides a detailed compilation of all the basics, which will motivate you to make quick progress and experience much more than what you have learned.

Visual Studio Code is currently the number #1 IDE among the programmer's community. All the big companies are moving towards using VS Code for active development. Get ahead of the curve and learn to use Visual Studio Code with ease.

Create a Gatsby.js Progressive Web App with GraphQL, React, and WordPress and add JAMstack to your skills

In this course, you will learn to create Kafka Streams microservices using the Spring cloud framework. This is an example-driven course, and you will learn to use Confluent Kafka distribution for all the examples. By the end of this course, you will learn to create Kafka Streams microservices using different types of serializations, Confluent schema registry, and creating stateless and stateful event processing applications.

Are you fascinated with Netflix and YouTube recommendations and how they accurately recommend content that you would like to watch? Are you looking for a practical course that will teach you how to build intelligent recommendation systems? This course will show you how to build accurate recommendation systems in Python using real-world examples.

This course is perfect for quality assurance professionals who want to step into automation testing with Cypress. You will learn Cypress from scratch and become a specialist in building a solid Cypress automation framework to test any real-world web application.

This course will help you understand the fundamentals of data analysis with Python and Pandas library.

This course focuses on Python 3 and uses modern Python 3.7 and Python 3.8. It is designed to support Python application development on Windows, macOS, and Linux. As Python 2 is no longer maintained by the Python development team, and there are no more security updates, the focus has now shifted to using Python 3.

Throughout this course, you will learn everything you need to know about linear and non-linear regression, regression modeling, and Stata. By the end of this course, you will be able to understand and be confident in interpreting complex types of data using Stata.