Postgraduate Certificate in Network Automation Components
-- viewing nowThe 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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Course Details
• Network Automation Fundamentals: Introduction to network automation, its benefits, and challenges. Understanding the basics of network automation tools and workflows.<br> • 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> • 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> • 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> • 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> • 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> • 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> • 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> • &ensp
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Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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