1021 Programming Languages courses delivered Online

Unreal Engine is well-known for its realistic lighting and graphics, but when paired with the stunningly realistic library of assets from Quixel, it is unbeatable! In this course, you'll learn how to use Unreal Engine 4 and Quixel Suite to create eye-catching outdoor environments for video games.

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.

Get started with using linear algebra in your data science projects

The course helps you learn Snowflake from scratch and explore a few of its important features. You will build automated pipelines with Snowflake and use the AWS cloud with Snowflake as a data warehouse. You will also explore Snowpark to be worked on the data pipelines.

The course is crafted to help you understand not only the role and impact of recommender systems in real-world applications but also provide hands-on experience in developing complete recommender systems engines for your customized dataset using projects. This learning-by-doing course will help you master the concepts and methodology of Python.

In this course, you will learn C# programming for desktop applications. These lessons assume no prior knowledge of programming or the C# language and will have you up and running in no time. By the end of this course, you will have enough knowledge to build a functional Windows Forms application, connected to a Microsoft SQL Server database, with all your program code and changes being tracked on GitHub.

All about containers, Docker, and Kubernetes for Python engineers.

Take your first step toward Natural Language Processing with this beginner-to-pro course. Gain an in-depth understanding of deep learning models for NLP with the help of examples. Learn the essential concepts from the absolute beginning with complete unraveling along with examples in Python.

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

This course will help you become familiar with the implementation of creational design patterns. Featuring real-world examples written in modern C++, each pattern is explained in detail to help you to understand how the pattern can be implemented efficiently using language features.