Master the integration of Python with cloud networking, DevOps practices, and network data analysis. This course prepares learners to automate, analyze, and manage networks in cloud and hybrid environments using industry-standard tools.
This course covers AWS and Azure cloud networking, network data analysis with the Elastic Stack, and essential DevOps practices such as version control with Git and continuous integration with GitLab. Learners will also explore test-driven development for networks, enabling them to implement reliable and scalable network solutions. By the end of the course, participants will be proficient in applying Python to automate and optimize cloud-based and data-driven network operations. Learners engage with practical examples and in-depth discussions that illustrate the application of Python in cloud networking, DevOps workflows, and data analysis. The course focuses on actionable insights and best practices for building resilient, automated network systems. This course is part three of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on Mastering Python Networking, by Eric Chou. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.
