NLP – Seminare und Ausbildungen bei Seminarmarkt.de

Overview

In this classroom course, you will learn basic concepts and skills you need to be productive users on Power Systems with IBM i. With plenty of hands-on lab exercises, we show everything from signing onto the available user interfaces green screen environment and IBM Navigator for i. You will learn how objects are managed on the system and how you display these objects. You will learn to use control language (CL) commands (fast path) and how to work with and manage messages on the system. Students will also learn how to the system manages work and how you manage your printouts. Lastly, students will also get a basic overview of security.

Overview

In this classroom course, you will learn basic concepts and skills you need to be productive users on Power Systems with IBM i. With plenty of hands-on lab exercises, we show everything from signing onto the available user interfaces green screen environment and IBM Navigator for i. You will learn how objects are managed on the system and how you display these objects. You will learn to use control language (CL) commands (fast path) and how to work with and manage messages on the system. Students will also learn how to the system manages work and how you manage your printouts. Lastly, students will also get a basic overview of security.

Overview

This course begins with an introduction to the z/OS environment, TSO and ISPF/PDF, batch processing, and z/OS data sets. Hands-on labs allow you to gain experience with viewing and allocating data sets, submitting a batch job, and viewing job output. After the introduction to z/OS, you will then learn, through lecture and exercises, how to use basic RACF command parameters and panels to define users and groups, protect general resources, z/OS data sets, and choose a basic set of RACF options.

Overview

This course begins with an introduction to the z/OS environment, TSO and ISPF/PDF, batch processing, and z/OS data sets. Hands-on labs allow you to gain experience with viewing and allocating data sets, submitting a batch job, and viewing job output. After the introduction to z/OS, you will then learn, through lecture and exercises, how to use basic RACF command parameters and panels to define users and groups, protect general resources, z/OS data sets, and choose a basic set of RACF options.

Overview

This course introduces test managers to the basics of using IBM Engineering Test Management to manage a test effort within a software development project. The course teaches how to plan the test effort, develop test artifacts, align with requirements and development, manage the test team' s work, monitor progress, submit and track defects, and report test results and status. Through hands-on lab exercises that reinforce learning, you will experience the benefits of test management that is integrated with requirements and development through Engineering Lifecycle Management (ELM). IBM Engineering Test Management is a key component of Engineering Lifecycle Management (ELM), providing quality management capabilities in a fully-integrated environment that can also include Engineering Workflow Management for change and configuration management. 

Overview

This course is designed to teach you the basic skills required to write programs using the REXX language in z/OS. The course covers the TSO extensions to REXX and interaction with other environments such as the MVS console, running REXX in batch jobs, and compiling REXX.

Overview

This course is designed to teach you the basic skills required to write programs using the REXX language in z/OS. The course covers the TSO extensions to REXX and interaction with other environments such as the MVS console, running REXX in batch jobs, and compiling REXX.

Overview

IBM Safer Payments is an innovative real-time payment fraud prevention and detection solution for all cashless payment types. IBM Safer Payments provides not only model capabilities based on inbuilt tools, but also the option to import externally built fraud models for real-time decisioning. In this course, all of the IBM Safer Payments model capabilities are presented in details. The following modelling concepts are covered: index, profiling techniques (with and without index sequence), model components comprised of rulesets, PMML, Python and Internal Random Forest, elements of the simulation environment including Rule Generation and Internal Random Forest, as well as the sampling techniques. All these concepts will be followed by the hands-on exercises that students are expected to complete.