2685 Courses delivered Online

Master the art of self-hosting WordPress on Linux with our comprehensive video course, designed to empower technical professionals to fully control their web presence.

This course is an excellent resource to learn network programming using Python. With the help of practical examples, you will learn how to automate networks with Telnet, Secure Shell (SSH), Paramiko, Netmiko, and Network Automation and Programmability Abstraction Layer with Multivendor support (NAPALM).

Learn Kubernetes and prepare yourself for CKA and CKAD certifications. This course helps you gain the knowledge required to design and deploy cloud-native applications on a Kubernetes cluster. All you need is a good understanding of the Docker fundamentals to get started.

In this course, our focus is to create an entire foliage pack completely made in Blender-one of the top open-source and free 3D modeling software out there. You will learn how to create 12 different foliage types with over 30 variations, including plants, grass, water lilies, and reeds; you will also learn how to integrate them into UE5 (Unreal Engine 5).

This Design Patterns course is a unique offering that focuses on modern C++ features and behavioral design patterns. The course content is extensive and carefully curated, with a deep dive into each pattern to ensure a thorough understanding of its implementation. Gain a comprehensive understanding of the pattern's intricacies.

Learn RabbitMQ: Asynchronous Messaging with Java and Spring

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.

The course is crafted to reflect the in-demand skills in the marketplace that will help you in mastering the key concepts and methodologies of RL and deep RL, along with several practical implementations. This course will help you know the theory and practical aspects of reinforcement and deep reinforcement learning.