Insights Schulungen finden - Das passende Seminar in Ihrer Nähe

In this live online training, you will learn the importance of effective and successful networking to your business life and how to build your skills in this area. You will learn virtually together how to expand your network through ideas, expertise and insights - both inside and outside your organization. Successful networking generates many valuable business opportunities as well as opportunities for collaboration and personal and business growth. This will help you build productive relationships and expand collective knowledge.

This seminar is part of the BUSINESS SKILLS qualification planner.

In diesem Seminar lernen die Teilnehmer das notwendige Wissen darüber, wie Sie Azure-Dienste zur Entwicklung, Schulung und Bereitstellung von automatisierten Lernlösungen nutzen können. Das Seminar beginnt mit einem Überblick über Azure-Dienste, die die Datenverarbeitung unterstützen. Dort wird der Fokus auf die Nutzung des führendem Data Science Service, dem Azure Machine Learning Service gelegt.

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...

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.