Postgraduate Certificate in Network Automation Components
-- ViewingNowThe Postgraduate Certificate in Network Automation Components is a comprehensive course designed to equip learners with the necessary skills for career advancement in network automation. This certificate program focuses on the essential components of network automation, including software-defined networking, network function virtualization, and automation tools.
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โข Network Automation Fundamentals: Introduction to network automation, its benefits, and challenges. Understanding the basics of network automation tools and workflows.<br> โข Programming and Scripting for Network Automation: Learning Python and other scripting languages for network automation. Hands-on experience with programming concepts, debugging, and automation scripts.<br> โข Network Automation Tools and Platforms: Overview of popular network automation tools such as Ansible, Puppet, Chef, and SaltStack. Hands-on experience with one or more of these tools.<br> โข Network Configuration Management: Best practices for network configuration management, including version control, change management, and compliance. Understanding of tools such as Git, Mercurial, and Rancid.<br> โข Network Orchestration and SDN: Introduction to network orchestration, software-defined networking (SDN), and network functions virtualization (NFV). Understanding of the principles and benefits of network orchestration and SDN.<br> โข Network APIs and Integration: Learning about network APIs, including REST, NETCONF, and YANG. Understanding of how to integrate network automation with other systems such as IT service management (ITSM) and monitoring tools.<br> โข Network Security and Automation: Understanding the security implications of network automation and learning best practices for securing network automation workflows. Hands-on experience with securing network automation tools and platforms.<br> โข Network Data Analytics and Visualization: Learning how to collect, analyze, and visualize network data using tools such as Grafana, Kibana, and Elasticsearch. Understanding of how to use data analytics to improve network performance and availability.<br> โข &ensp
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