59455 Courses

Want to learn how to use Maven and SonarQube effectively for code building and code quality analysis as a DevOps engineer? Then you are in the right place. This learner-centered hands-on course will help you gain confidence in using important DevOps tools such as SVN, Maven, Jenkins, Chef, Puppet, Nagios, Splunk, Selenium, and more. Some basic knowledge of Linux, Git, and AWS EC2 will help you get the most out of this course.

Learn how to build real-world applications using Spring Framework 5 and Spring Boot 2

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.

A beginner's level course that will help you learn data engineering techniques for building metadata-driven frameworks with Azure data engineering tools such as Data Factory, Azure SQL, and others. You need not have any prior experience in Azure Data Factory to take up this course.

Build your own AI-driven image classifier web application

Welcome to the Linux Network Administration course for beginners, designed for students who want to learn everything about the networking components within a Linux system. This course is essential for anyone working with Linux, covering basic to intermediate networking concepts and skills, providing a solid foundation for pursuing a career in the field.

This course will help you understand the importance of Linux PAM (Pluggable Authentication Module) and its configuration file, module interface, control flags, and modules. You will also discover PAM-aware services and stacks and learn how to verify if a service or program is linked with PAM. No prior knowledge of Linux is required to take this course.

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 AWS SageMaker Canvas course will help you become a machine learning expert and will enhance your skills by offering you comprehensive knowledge and the required hands-on experience on this newly launched cloud-based ML tool, by solving real-time industry-based projects, without needing any complex coding expertise.