Hybrid Cloud and Datacenter Monitoring with Operations Management Suite

This course will provide students with the key knowledge required to deploy and configure Operations Management Suite Enroll & Get Certified now!

  • ✔ Course Duration : 40 hrs
  • ✔ Training Options : Live Online / Self-Paced / Classroom
  • ✔ Certification Pass : Guaranteed
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40 hrs

Course Duration

20+

Countries And Counting

25+

Corporates Served

20+ hrs

Workshop

Hybrid Cloud and Datacenter Monitoring with Operations Management Suite

This five-day course will provide students with the key knowledge required to deploy and configure Operations Management Suite. Using hands-on labs, students will learn the following:

  • An overview of System Center 2016.
  • How to upgrade to System Center 2016 from System Center 2012 R2.
  • Integrate System Center 2016 with Operations Management Suite
  • An overview of Operations Management Suite.
  • Base configuration and operations of Operations Management Suite
  • Configuring Operations Management Suite Automation and Control.
  • Operating Operations Management Suite Automation and Control.
  • Configuring Operations Management Suite Insight and Analytics.
  • Operating Operations Management Suite Insight and Analytics.
  • Configuring Operations Management Suite Protection and Recovery.
  • Operating Operations Management Suite Protection and Recovery.
  • Configuring Operations Management Suite Security and Compliance.
  • Operating Operations Management Suite Security and Compliance.

What you will Learn

This course is intended for service administrators, devops, and cloud architects who are interested in using Operations Management Suite to provide hybrid cloud and datacenter monitoring for their organization.

PREREQUISITES

Before attending this course, students must have:

  • 1 year’s experience of System Center 2012 R2 or System Center 2016.
  • Working knowledge of SQL Server 2012, 2014, or 2016
  • Working knowledge of Windows Server 2012 R2 and Windows Server 2016.

CURRICULUM

Learning Objectives:
  • Artificial Intelligence
  • Machine Learning
  • Machine Learning algorithms
  • Applications of Machine Learning

 

Learning Objectives:
  • Supervised Learning
  • Unsupervised Learning
  • Semi-supervised Learning and Reinforcement Learning
  • Some Important Considerations in Machine Learning

 

Learning Objectives:
  • Data Preparation
  • Feature engineering
  • Feature scaling
  • Datasets
  • Dimensionality reduction

Learning Objectives:
  • Eigenvalues, Eigenvectors, and Eigendecomposition
  • Concepts of Linear Algebra
  • Introduction to Calculus
  • Probability and Statistics

 

Learning Objectives:
  • Regression and Its Types
  • Linear Regression: Equations and Algorithms

 

Learning Objectives:
  • Classification
  • Logistic regression
  • K-nearest neighbors
  • Support Vector Machines
  • Kernel SVM
  • Naive Bayes
  • Decision tree classifier
  • Random forest classifier

Learning Objectives:
  • K-Means Clustering
  • K-means Clustering
  • Clustering Algorithms

Learning Objectives:
  • Meaning and importance of deep learning
  • Artificial Neural networks
  • TensorFlow

FAQs

You can enroll for this classroom training online. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.
1. Online ,By deposit the mildain bank account
2. Pay by cash team training center location

Highly qualified and certified instructors with 20+ years of experience deliver more than 200+ classroom training.

Contact us using the form on the right of any page on the mildaintrainings website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

You will never miss a lecture at Mildaintrainigs! You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.

We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

Yes, you can cancel your enrollment if necessary prior to 3rd session i.e first two sessions will be for your evaluation. We will refund the full amount without deducting any fee for more details check our Refund Policy

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

Just give us a CALL at +91 8447121833 OR email at [email protected]

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+91 8447121833

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