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Updated in [March 06th, 2023]

This course provides an introduction to Cisco Modeling Labs (CML 2) and VIRL 2, which are powerful tools for virtualizing Cisco IOS networks and preparing for CCNA, CCNP, and DevNet exams. Learners will learn how to use CML for free in the cloud, install CML locally, run Cisco ASAv software, use the CML breakout tool, export and import CML topologies, and use CML to learn network automation and network programmability with Python and Ansible.
Possible Development Paths:
Learners of this course can use the skills they learn to pursue a career in network engineering, network automation, or network programmability. They can also use the skills to prepare for Cisco certifications such as CCNA, CCNP, and DevNet.
Learning Suggestions:
In addition to this course, learners should also consider taking courses related to network engineering, network automation, and network programmability. They should also practice their skills with hands-on labs and simulations. Finally, they should consider taking practice exams to prepare for Cisco certifications.

[Applications]
After completing this course, learners can apply their knowledge of Cisco Modeling Labs (CML 2 & VIRL 2) to virtualize Cisco networks, prepare for CCNA, CCNP, and DevNet exams, and learn network automation and network programmability with Python and Ansible. Learners can also use the software to practice technologies such as Python, Ansible, Spanning-Tree, OSPF, EIGRP, BGP, Etherchannel, and more.

[Career Paths]
1. Network Engineer: Network Engineers are responsible for designing, implementing, and maintaining computer networks. They must have a strong understanding of network protocols, routing, and switching. They must also be able to troubleshoot network issues and provide technical support. Network Engineers are in high demand as organizations continue to rely on technology for their operations.

2. Network Security Engineer: Network Security Engineers are responsible for designing, implementing, and maintaining secure networks. They must have a strong understanding of network security protocols, firewalls, and intrusion detection systems. They must also be able to troubleshoot security issues and provide technical support. Network Security Engineers are in high demand as organizations continue to prioritize security in their operations.

3. Network Automation Engineer: Network Automation Engineers are responsible for automating network tasks using scripting languages such as Python and Ansible. They must have a strong understanding of network protocols, routing, and switching. They must also be able to troubleshoot network issues and provide technical support. Network Automation Engineers are in high demand as organizations continue to look for ways to streamline their operations.

4. Network Programmer: Network Programmers are responsible for developing software applications that interact with networks. They must have a strong understanding of network protocols, routing, and switching. They must also be able to troubleshoot network issues and provide technical support. Network Programmers are in high demand as organizations continue to rely on technology for their operations.

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

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, routing protocols, and network topologies. This degree path is becoming increasingly important as businesses rely on secure and reliable networks to conduct their operations.

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 path is becoming increasingly important as businesses need to protect their data and systems from malicious actors.

4. Master of Science in Data Science: This degree path focuses on the analysis of large datasets. It covers topics such as data mining, machine learning, and predictive analytics. This degree path is becoming increasingly popular as businesses need to make sense of the vast amounts of data they collect.