Designmanagement Schulungen finden - Das passende Seminar in Ihrer Nähe

Overview

This course will expose the beginning z/OS DBAs (Database Administrators) to fundamentals of Database Administration for a Db2 13 for z/OS. This course will teach the students how to physically implement a logical database design using DDL, and teaches considerations of referentially related tables. This course discusses the use of basic utilities, program preparation, serialization, and basic database security. This course does not cover distributed data processing, nor does it cover data sharing.

Overview

This course will expose the beginning z/OS DBAs (Database Administrators) to fundamentals of Database Administration for a Db2 13 for z/OS. This course will teach the students how to physically implement a logical database design using DDL, and teaches considerations of referentially related tables. This course discusses the use of basic utilities, program preparation, serialization, and basic database security. This course does not cover distributed data processing, nor does it cover data sharing.

Overview

This course teaches you how to use IBM App Connect Enterprise to apply advanced topics such as basic security authentication on deployed integrations, message flow monitoring to help in problem determination, and creating user-defined properties in a message flow. The first part of this course covers message flow aggregation, encrypting credentials and storing them in the IBM App Connect vault, and debugging message flows. The second half introduces dynamic features that use IBM App Connect web user Interface to Record and Replay messages, create a business transaction definition, and view various business events in a completed, failed, inconsistent, and in-progress state.

Overview

This course teaches you how to use IBM App Connect Enterprise to apply advanced topics such as basic security authentication on deployed integrations, message flow monitoring to help in problem determination, and creating user-defined properties in a message flow. The first part of this course covers message flow aggregation, encrypting credentials and storing them in the IBM App Connect vault, and debugging message flows. The second half introduces dynamic features that use IBM App Connect web user Interface to Record and Replay messages, create a business transaction definition, and view various business events in a completed, failed, inconsistent, and in-progress state.

Overview

In this course, the learner is guided through a realistic data science project. The project focuses on extracting business insights from large amounts of unstructured voice data, by using IBM Watson APIs. Starting from voice recorded customer reviews, the data are transcribed by using Watson Speech to Text and then are analyzed for emotion and keywords by using Watson Discovery. The structured results are stored in a tabular form and used to extract business insights in Watson Studio.

The course focuses on hands-on coding exercises that provide an opportunity to work with Watson Studio, Watson Discovery, and Watson Speech to Text. The exercises guide the learner on importing data and manipulating in a Watson Studio project, activate instances of installed services, and authenticate API connections by using Jupyter Notebooks. The exercises also introduce how to configure Watson Speech to Text and create custom language models, work with Watson Discovery, and introduce enrichments. Also, every exercise demonstrates suitable data manipulation that results in saved structured data.

The three hands-on exercises are included in this course, each focusing on a Jupyter Notebook and correspond to the three modules of the course. The necessary data, notebooks, and services are all available in the corresponding lab environment.

Overview

In this course, the learner is guided through a realistic data science project. The project focuses on extracting business insights from large amounts of unstructured voice data, by using IBM Watson APIs. Starting from voice recorded customer reviews, the data are transcribed by using Watson Speech to Text and then are analyzed for emotion and keywords by using Watson Discovery. The structured results are stored in a tabular form and used to extract business insights in Watson Studio.

The course focuses on hands-on coding exercises that provide an opportunity to work with Watson Studio, Watson Discovery, and Watson Speech to Text. The exercises guide the learner on importing data and manipulating in a Watson Studio project, activate instances of installed services, and authenticate API connections by using Jupyter Notebooks. The exercises also introduce how to configure Watson Speech to Text and create custom language models, work with Watson Discovery, and introduce enrichments. Also, every exercise demonstrates suitable data manipulation that results in saved structured data.

The three hands-on exercises are included in this course, each focusing on a Jupyter Notebook and correspond to the three modules of the course. The necessary data, notebooks, and services are all available in the corresponding lab environment.

In Konstruktion und Entwicklung sind Sie heute stark gefordert: Produktlebenszyklen werden immer kürzer, Kunden- und Marktanforderungen zunehmend komplexer und individueller. Um diesen Ansprüchen gerecht zu werden, braucht es einerseits eine strategische Produktplanung, andererseits aber auch Tempo und Anpassungsbereitschaft bei der Umsetzung sowie eine kreative Problemlösungsfähigkeit.

Dies ist nur möglich, wenn es gelingt, in Entwicklung und Konstruktion wirksame Prozesse zu etablieren, die eine zielgerichtete, methodenbasierte und effektive Teamarbeit gewährleisten.

In diesem Seminar lernen Sie zum einen bewährte Instrumente für Konstruktion und Entwicklung technischer Systeme und Produkte kennen, wie sie die VDI-Richtlinie 2221 vorstellt. Zum anderen erhalten Sie einen systematischen Überblick über moderne Methoden wie agile Produktentwicklung, Scrum, TRIZ, Design Thinking und antizipierende Fehleranalyse.