Power up your network applications with Python programming
Master the art of using Python for a diverse range of network engineering tasks
Develop real-world applications powered by the latest advances in intelligent systems
Set up complete CI and CD pipelines for your serverless applications using DevOps principles
Choose the smarter way to learn about containerizing your applications and running them in production.
Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries
Explore the high-in demand core DevOps strategies with powerful DevOps tools such as Ansible, Jenkins, and Chef
Learn how to run new and old applications in Docker containers on Windows - modernizing the architecture, improving security and maximizing efficiency.
Learn to apply cloud-native patterns and practices to deliver responsive, resilient and message-driven systems with confidence
This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems.
A highly detailed guide to performing powerful attack vectors in many hands-on scenarios and defending significant security flaws in your company's infrastructure
A hands-on guide with a minimalist and flexible approach that enables quick learning and rapid delivery of cloud-ready enterprise applications with Angular 6