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Updated in [March 06th, 2023]

This course, Automating Networks with Ansible the Right Way, provides learners with the foundational knowledge required to manage networks like a professional through programming. Learners will gain an understanding of infrastructure as code, including SSH/CLI-based implementations, and how to leverage modern APIs such as NETCONF and RESTCONF with Ansible to simplify network management. Additionally, learners will explore how to build quality into their code using supplementary tools. Upon completion of the course, learners will have the skills and knowledge of Ansible needed to design, implement, operate, and troubleshoot network-based automation solutions in production.

[Applications]
Upon completion of this course, learners will be able to apply their knowledge of Ansible to automate networks in a variety of ways. Learners will be able to use SSH/CLI-based implementations to manage any network device, leverage modern APIs such as NETCONF and RESTCONF, and build quality into their code using supplementary tools. Additionally, learners will be able to design, implement, operate, and troubleshoot network-based automation solutions in production.

[Career Paths]
1. Network Automation Engineer: Network Automation Engineers are responsible for designing, implementing, and managing automated network solutions. They use Ansible to create scripts and automation tasks that can be used to manage and configure network devices. They must have a strong understanding of network protocols, scripting languages, and automation tools. As the demand for automation increases, the need for Network Automation Engineers is expected to grow.

2. Network Programmer: Network Programmers use Ansible to create scripts and automation tasks that can be used to manage and configure network devices. They must have a strong understanding of network protocols, scripting languages, and automation tools. They must also be able to troubleshoot and debug network-related issues. As the demand for automation increases, the need for Network Programmers is expected to grow.

3. Network Security Engineer: Network Security Engineers use Ansible to create scripts and automation tasks that can be used to manage and configure network devices. They must have a strong understanding of network protocols, scripting languages, and automation tools. They must also be able to troubleshoot and debug network-related security issues. As the demand for automation increases, the need for Network Security Engineers is expected to grow.

4. Network Architect: Network Architects use Ansible to create scripts and automation tasks that can be used to manage and configure network devices. They must have a strong understanding of network protocols, scripting languages, and automation tools. They must also be able to design and implement secure network architectures. As the demand for automation increases, the need for Network Architects is expected to grow.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, including programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. This degree is becoming increasingly popular as automation and artificial intelligence become more prevalent in the workplace.

2. Bachelor of Science in Network Engineering: This degree path focuses on the design, implementation, and maintenance of computer networks. It covers topics such as network security, network protocols, and network topology. This degree is becoming increasingly important as organizations rely more heavily on networks for communication and data storage.

3. Master of Science in Cybersecurity: This degree path focuses on the security of computer networks and systems. It covers topics such as cryptography, malware analysis, and digital forensics. This degree is becoming increasingly important as organizations become more reliant on digital systems and data.

4. Master of Science in Data Science: This degree path focuses on the analysis and interpretation of large datasets. It covers topics such as machine learning, data mining, and predictive analytics. This degree is becoming increasingly popular as organizations look to leverage data to gain insights and make better decisions.