Big Mistake! Why I Failed CCIE DEVNET V1.0 in September 2022 | Cisco DevNet Expert Lab Exam
Big Mistake! Why I Failed CCIE DEVNET V1.0 in September 2022 | Cisco DevNet Expert Lab Exam
I have been waiting and preparing for the DEVNET Expert exam since its launch and attempted it few days ago and announcing it happily with all the excitement that I FAILED my 1st attempt.
I have been spending time and exploring the DEVNET and Network Automation space since more than 4 years now. Been delivering trainings and consulting in this space even before Cisco launched DEVNET and when Cisco had their early automation courses like NPDESI and NPDEV.
In the past 4 years, I have trained more that 2500+ candidates (in network automation itself) in more than around 100+ public as well as private corporate training batches.
Training DevNet batches have always been full of experience because the candidates in DEVNET trainings range from freshers to 15-20 years experienced Network Engineers, Design experts and even 57 years old defence retired enthusiasts.
Everyone brings different mindset and requirements for implementing automation and providing a decent solution for their requirement definitely has been a learning experience.
This gave me a lot of exposure to me in the space and forced me to go in depth to prepare the concepts and labs for my candidates who’d enrol in my trainings.
With the amazing in-house resourceful DC infrastructure present at PyNet Labs, I was able to prepare and practice amazing labs that helped me prepare for my DEVNET Expert lab exam and I feel proud to announce that we have been working hard to bring the same smooth experience for our candidates so you feel confident for enrolling in the CCIE DEVNET v1.0 Lab Technology + Lab training.
I have shared my CCIE DevNet lab experience and some personal moments in this video. Feel free to go through the same and share your comments.
After the experience I have received, I am planning to attempt the exam again.
At PyNet Labs, we are launching our first CCIE DevNet training batch from December 2022 and I will only take dedicated and committed people in my first batch and maximum 5 people to begin with.
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