965 Programming Languages courses delivered Online

This updated course helps you to grasp the core concepts of the Cucumber behavior-driven development (BDD) framework from scratch. You will learn various automation terminologies, the process to integrate the Cucumber framework with Maven, Jenkins, and Selenium, and a lot of interesting topics that will help you to develop high-class automation test cases.

In this course, you will learn the fundamentals of data visualization in Python using the well-known Matplotlib and Seaborn data science libraries and perform exploratory data analysis (EDA) by visualizing a data set using a variety of charts.

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

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.

Learn to build a RESTful API using ASP.NET Core Minimal API, entity framework, and employ enterprise-level development practices and patterns. We will implement various support tools for data validations, logging, documentation, and security. You will learn everything you need to know about building a Minimal API using .NET 6 (or .NET 7 preview).

If you are someone with a background in Python programming and is interested in presenting your analysis in interactive web-based dashboards, then you are in the right place. This course primarily focuses on Dash, along with other key data science libraries, including Pandas and Plotly. Learn to use Dash and Plotly in Python which can help you to visualize your critical insights and KPIs in web apps that are easily sharable.

Are you eager to learn Django and build real web applications? Do you want to gain hands-on experience with Python, Django, and Git? Look no further! This beginner-friendly course has got you covered. Discover the secrets of Django applications, templates, models, and migrations as we guide you through the process step-by-step. Tired of struggling with deployment? We will show you how to deploy your applications on a Railway Server effortlessly.

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.

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.