Insights Schulungen finden - Das passende Seminar in Ihrer Nähe

Course Introduction

• Instructor introduction
• Learning objectives
• Course structure and objectives
• Course logistics and agenda

Module 1: Governance at Scale

• Governance at scale focal points
• Business and Technical Challenges

Module 2: Governance Automation

• Multi-account strategies, guidance, and architecture
• Environments for agility and governance at scale
• Governance with AWS Control Tower
• Use cases for governance at scale

Module 3: Preventive Controls

• Enterprise environment challenges for developers
• AWS Service Catalog
• Resource creation
• Workflows for provisioning accounts
• Preventive cost and security governance
• Self-service with existing IT service management (ITSM) tools
• Lab 1: Deploy Resources for AWS Catalog
• Create a new AWS Service Catalog portfolio and product.
• Add an IAM role to a launch constraint to limit the actions the product can perform.
• Grant access for an IAM role to view the catalog items.
• Deploy an S3 bucket from an AWS Service Catalog product.

Module 4: Detective Controls

Operations aspect of governance at scale

Resource monitoring

Configuration rules for auditing

Operational insights

Remediation

Clean up accounts

Lab 2: Compliance and Security Automation w...

AZ-801 Configuring Windows Server Hybrid Advanced Services

- Using the CMS: managing accounts, authentication, roles, representatives, and teams; Opt-out
- Managing infringement and revocation proceedings, appeals and related proceedings
- Dealing with the court: dates, documents, payments, languages
- Case management functions: formal checks, service, hard copy, and physical exhibits
- Visibility, public access, and confidentiality; Protective letters and provisional measures
- Internal activities - what clerks and judges do; How to deal with CMS problems

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.

Excel Experten: Power BI Desktop

Der Datenschutzkongress ist im deutschsprachigen Raum der wichtigste Treffpunkt für Datenschutzexpert:innen. Als qualitativ hochwertige Veranstaltung bieten wir Ihnen Top-Insights von den führenden Köpfen aus Politik, Wirtschaft und Wissenschaft sowie Networking mit Gleichgesinnten.

Seien Sie am 22. und 23. Mai 2024 in Berlin oder digital dabei und erfahren Sie, wie Sie Ihr Unternehmen datenschutzkonform aufstellen.

Ein professioneller und positiver Umgang mit Kolleg:innen, Vorgesetzten und Kund:innen ist Voraussetzung, um die immer anspruchsvolleren Herausforderungen zu erfüllen. Zur Erreichung Ihrer Ziele werden Sie immer mehr zum:zur Beziehungsmanager:in Ihrer Geschäftsbeziehungen. Besonders mit konfliktreichen, spannungsgeladenen Situationen souverän umzugehen, fordert unsere soziale Kompetenz. Erfahren Sie in diesem Kommunikationstraining, wie Sie mit den eigenen Emotionen und Erwartungen und denen anderer Beteiligter souverän umgehen sowie Gespräche zielführend und wertschätzend gestalten.

Overview

Learn how to successfully install and successfully maintain an Information Management System (IMS) system, with insights on common problems, how to avoid them and how to correct them should they occur. In the hands-on lab, select an IBM-supported Version of IMS to actually install, then install that IMS and run the IMS Installation Verification Program (IVP) process in the environment of your choice:

• Database Control (DBCTL)
• Database Coordinator Controller (DCCTL)
• Database/Data Communications (DB/DC)
• DB/DC with Extended Recovery Facility (XRF)

Um KI-Tools nutzen zu können, müssen Sie nicht gleich ein Abo abschließen oder viel Geld investieren. Inzwischen gibt es einige Standardprogramme, wie Microsoft Office 365®, mit denen Sie Ihre Effizienz maximieren können.

In diesem Booster-Seminar lernen Sie, mit welchen Standardprogrammen und Tools Sie Ihre Arbeit effizienter gestalten können, ohne zusätzliche Abonnement- und Lizenzkosten zu nutzen.