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|Start Date||No. of Hrs||Time (IST)||Day|
|09 Jul 2022||24||06:00 PM - 09:00 PM||Sat, Sun|
|23 Jul 2022||24||06:00 PM - 09:00 PM||Sat, Sun|
|06 Aug 2022||24||06:00 PM - 09:00 PM||Sat, Sun|
|20 Aug 2022||24||06:00 PM - 09:00 PM||Sat, Sun|
IBM® Security QRadar SIEM (Security Information and Event Management) 7.2 Administration and Configuration availed by Multisoft Virtual Academy gives an understanding about the network, application activity, and the users. It also provides the normalization, secure storage of events, collection, vulnerabilities, assets, flows, and topologies.
The IBM® Security QRadar SIEM 7.2 Administration and Configuration online training course provide the learning experience of configuring and administering QRadar SIEM, Log Source Extensions, creating Universal DSMs. The skills learnt in the QRadar online training course allows the candidates to maintain the QRadar SIEM, analyze the offenses created by rules, and work with log sources, Build a network hierarchy, Create customize log sources, Use and create rules.
In addition to this, the learners may also choose from other online courses, like Ethical Hacking and CHFI v8 to name a few.
This training is also available as SPVC (Self Paced Virtual Classes).
The IBM® Security QRadar SIEM 7.2 Administration and Configuration online training program is designed for the following:
Multisoft Virtual Academy provides certificates of completion to all the aspirants on successful completion of the program.
These digital credentials will allow trained professionals to present a globally-recognized record of their learning to anyone, at any time.
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"Training sessions were very useful with practical example and it was overall a great learning experience. Thank you Multisoft."
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"Agile Training session were very useful. Especially the way of teaching and the practice session. Thank you Multisoft Virtual Academy"
"Great learning and experience on Golang training by Gaurav Gupta, cover all the topics and demonstrate the implementation."
"Attended a virtual training 'Data Modelling with Python'. It was a great learning experience and was able to learn a lot of new concepts."
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