59451 Courses

Kickstart your journey into deep learning and gain a strong understanding of deep neural networks through practical exercises. Develop your intuition and learn the fundamentals of artificial neural networks, activation functions, and loss functions. Gain practical experience with Python and TensorFlow 2.x, and apply your skills to build powerful deep learning models.

The course is designed to provide complete knowledge of object-oriented programming using C++. We will discuss some core OOP concepts such as classes, objects, functions, encapsulation, and polymorphism. Along with learning how to design implement classes, we will cover the best practices for writing and maintaining code

This course will enable you to master Docker fundamentals that are required for Spring Boot developers. You'll learn the essential concepts needed to create Dockerfiles for your projects using Docker, Docker Compose, Volumes and various Docker commands. You will launch multiple Docker containers for your microservices that will communicate with each other.

Master the OpenGL and GLSL shading language - by writing code! Illustrated theory and practice (from basics to advanced)

This course gives a complete overview of the Scrum framework for Agile project management. Anyone involved in product delivery using the Scrum framework will find this course helpful, but it is particularly beneficial for those in the organization accountable for getting the most out of Scrum, including Scrum masters, managers, and Scrum team members.

This course primarily focuses on explaining the concepts of the Document Object Model through a project-based approach. It will help you enhance your coding skills using JavaScript along with a deeper understanding of the DOM fundamentals.

Accelerate your coding careerâ€'find a great job in programming or app development with this new course from Eazl & Codestars

The Management's Guide to Understanding Risk Management Decisions in Cybersecurity and Information Technology (IT)!

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.

Delve into big data streaming with Azure using Event Hubs, Data Lake, and Azure Stream Analytics