909 GitHub courses

With expert guidance and easy-to-understand narration, this course gets you up and running with the SwiftUI framework. You will learn how to use the SwiftUI framework, its tools, and its technology to build applications with ease.

From installation and project creation to writing tests with JUnit, Mockito, and Hamcrest, this course will cover all the important concepts that you need to get up and running with unit testing.

Learn to effectively integrate and build RESTful API clients into Java and Spring Boot applications using WireMock.

This course will teach you how to link ChatGPT's API directly into your applications and solutions. Learn to integrate the API into Power Apps. Build any business application you want using Power Apps, which can now incorporate ChatGPT. Extend ChatGPT to any platform, including React, Webflow, Zapier, Excel, and so on.

jQuery is a very powerful framework used by all the big companies like Microsoft, Apple, Google etc. It is cross-platform.

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.

Learn to operate Nomad to deploy and manage applications and services across multiple environments, including on-premises, cloud, and hybrid. Learn from the expert who will guide you through lectures, demonstrations, and real-world scenarios, giving you the skills and knowledge you need to succeed with Nomad HashiCorp skillsets.

Want to become an expert NLP engineer and a data scientist? Then this is the right course for you. In this course, we will be covering complex theory, algorithms, and coding libraries in a very simple way that can be easily grasped by any beginner as well.

This course primarily focuses on explaining the concepts of Python and PySpark. It will help you enhance your data analysis skills using structured Spark DataFrames APIs.

The purpose of this course is to teach you how to use Python for machine learning to create real-world algorithms. You will gain an in-depth understanding of the fundamentals of deep learning. This course will help you explore different frameworks in Python to solve real-world problems using the core concepts of deep learning and artificial intelligence.