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" This five-day course starts with introducing the concepts and usage of the Database and Middleware Automation (DMA) software, continues with detailed use cases of DMA, and finally students learn to modify out-of-the-box (OOTB) flows. DMA is part of Cloud Automation solutions. Working with DMA 10.50 includes using the DMA UI and the DMA runtime engine to locate, run, monitor, author, and deploy automated workflows. A flow is a set of actions linked by decision-making logic to automate tasks. Other topics in the course include using Solution Packs for Microsoft SQL, Oracle, and JBoss. This course also covers creating custom workflows, using the Database and Middleware discovery process, doing compliance checks as well as using the Representational State Transfer (REST) API. The course consists of focused, task-oriented lectures, text, and a series of detailed hands-on labs to teach the course material to the student. The hands-on labs use version 10.50 of the software.

This learning series covers how a Service or Process Owner will use the Service Management Automation X (SMAX) agent interface to sponsor, design, document, publicize and continuously improve different processes by ensuring compliance with enterprise policies. SMAX is a new suite designed to simplify the way businesses manage their IT services and assets. It uses the Information Technology Infrastructure Library (ITIL)-compliant IT processes with embedded machine learning and contextual analytics. Course available with all lessons or you can purchase lessons separately.

In this course, students will learn to configure and deploy patches with Micro Focus ZENworks 11 Configuration Management and ZENworks Patch Management.

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Machine learning is used to discover trends, uncover patterns, peel back layers and detect relationships over large volumes of data. Once put to work, predictive models will identify insights and predict where projects or opportunities will lead. We have incorporated machine learning algorithms into Vertica, enabling in-database prediction-based machine learning over very large data sets and at high speed. During this course, you will learn: How to prepare your data for model development How to create and evaluate regression, classification, and regression algorithms How to manage existing database models

The purpose of this course is to enable administrators to perform basic administrative tasks using Identity Manager 4.7. The course provides instruction and hands-on experience with tasks such as installing the NetIQ Identity Manager Engine and drivers, eDirectory rights, and drivers, and administering Identity Manager In addition, students learn how to use analyzer, manage policies and filters, use DSTrace to track driver content flow, and implement Identity Manager password synchronization.