Udemy - F5 LTM 101 & 201 Training 2022 Free Download

Udemy – F5 LTM 101 & 201 Training 2022
English | Tutorial | Size: 9.88 GB

Learn the F5 BIG-IP Application Delivery Controller (ADC) appliance, including the Local Traffic Manager (LTM) module.

This course is designed to help learners in building their own lab topology in order to acquire the skills and knowledge necessary to manage the F5 BIG-IP Application Delivery Controller (ADC) appliance, including the Local Traffic Manager (LTM) module. We use detailed explanations and presentations to prepare learners for real-world application and success in earning the F5 BIG-IP Administrator certification. This class walks you through the stepwise process of how to construct your own lab environment, and do what you envision in the videos. Your exercise will serve you in mastering F5 technologies.

f5 BIG-IP Local Traffic Manager (LTM) provides intelligent traffic management for rapid application deployment, optimization, load-balancing, and offloading. BIG-IP Local Traffic Manager (LTM) ensures to entail a deep understanding of the network’s application traffic and control over and how it should be handled. It is designed to modify and transform the chaotic volume of network traffic into logically assembled streams of data. It then makes intelligent traffic management decisions thereby, selecting the right destination based on server performance, security, and availability. These courses give network professionals a functional understanding of BIG-IP Local Traffic Manager (LTM) introducing students to both commonly used and advanced LTM features.

This course covers both the 101 as well as 201 syllabus. We are continuously updating the content to cover more and more topics related to the certification.

Updated on 28-09-2022:

Course content for 101 certification added more to come.

Important Announcement, we have update this course with the contents of F5 101 certification and the existing students will get access to the content as is. We will be adding more content to this course. Thanks for the support and love.

Team @ZBNetworks

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