Arrow Electronics, Inc.

Microsoft Azure IoT Developer

CODE: MCS_AZ-220T00

LÄNGE: 4 Tage

PREIS: €2 120,00

Beschreibung

Dieser Kurs vermittelt den Teilnehmern die Fähigkeiten und Kenntnisse, die zum erfolgreichen Erstellen und Verwalten der Cloud- und Edge-Bereiche einer Azure IoT-Lösung erforderlich sind.
Der Kurs umfasst die vollständige Abdeckung der wichtigsten Azure IoT-Dienste wie IoT Hub, Gerätebereitstellungsdienste, Azure Stream Analytics, Zeitreihenerkenntnisse und mehr.
Neben dem Schwerpunkt auf Azure PaaS-Diensten enthält der Kurs Abschnitte zu IoT Edge, Geräteverwaltung, Überwachung und Problembehandlung, Sicherheitsaspekten und Azure IoT Central.

Lernziel

Nach Abschluss dieser Ausbildung haben Sie Wissen zu diesen Themenbereichen aufgebaut:

    Create, configure, and manage an Azure IoT hub.
    Provision devices by using IoT Hub and DPS, including provisioning at scale.
    Establish secure 2-way communication between devices and IoT Hub.
    Implement message processing by using IoT Hub routing and Azure Stream Analytics.
    Configure the connection to Time Series Insights and support business integration requirements.
    Implement IoT Edge scenarios using marketplace modules and various edge gateway patterns.
    Implement IoT Edge scenarios that require developing and deploying custom modules and containers.
    Implement device management using device twins and direct methods.
    Implement solution monitoring, logging, and diagnostics testing.
    Recognize and address security concerns and implement Azure Security Center for IoT.
    Build an IoT Solution by using Azure IoT Central and recongize SaaS opportunities for IoT.

Zielgruppe

Dieses Seminar richtet sich an:

    Ein Azure IoT-Entwickler ist für die Implementierung und Wartung der Cloud- und Edge-Bereiche einer Azure IoT-Lösung verantwortlich.
    Neben der Konfiguration und Wartung von Geräten mithilfe von Azure IoT-Diensten und anderen Microsoft-Tools richtet der IoT-Entwickler auch die physischen Geräte ein und ist für die Wartung der Geräte während des gesamten Lebenszyklus verantwortlich.
    Der IoT-Entwickler implementiert Entwürfe für IoT-Lösungen, einschließlich Gerätetopologie, Konnektivität, Debugging und Sicherheit. Für Edge-Geräteszenarien stellt der IoT-Entwickler auch Computing / Container bereit und konfiguriert das Gerätenetzwerk, das verschiedene Edge-Gateway-Implementierungen umfassen kann.
    Der IoT-Entwickler implementiert Entwürfe für Lösungen zum Verwalten von Datenpipelines, einschließlich Überwachung und Datentransformation in Bezug auf IoT. Der IoT-Entwickler arbeitet mit Dateningenieuren und anderen Interessengruppen zusammen, um eine erfolgreiche Geschäftsintegration sicherzustellen.

Voraussetzungen

 Für dieses Seminar werden folgende Vorkenntnisse empfohlen:

Software-Entwicklungserfahrung ist eine Voraussetzung für diesen Kurs, es ist jedoch keine spezielle Software-Sprache erforderlich, und die Erfahrung muss nicht auf professionellem Niveau sein.
allgemeines Verständnis der Datenspeicherung und Datenverarbeitung wird empfohlen, ist jedoch nicht zwingend erforderlich.
grundlegende Kenntnisse zu PaaS-, SaaS- und IaaS-Implementierungen verfügen. Microsoft Azure Fundamentals (AZ-900) oder gleichwertige Kenntnisse werden empfohlen.
IoT-Entwickler sollten sich mit Azure-Diensten einschließlich Datenspeicheroptionen, Datenanalyse, Datenverarbeitung und den Optionen Azure IoT PaaS versus SaaS auskennen. IoT-Entwickler sollten über grundlegende Programmierkenntnisse in mindestens einer von Azure unterstützten Sprache verfügen, einschließlich C #, Node.js, C, Python oder Java.

 

Inhalt

 Module 1

    Business Opportunities for IoT
    Introduction to IoT Solution Architecture
    IoT Hardware and Cloud Services
    Lab Scenarios for this Course
    Lab : Getting Started with AzureLab : Setting Started with Azure IoT ServicesAfter completing this module, students will be able to:
    Explain how IoT and Azure IoT could be applied to their business
    Describe the core components of an Azure IoT Solution Architecture
    Describe the Azure IoT Services and how they relate to an IoT solution
    Create an Azure account and use the Azure portal to create an IoT Hub and DPS service

Module 2:

    IoT Hub and Devices
    IoT Developer Tools
    Device Configuration and Communication
    Lab : Setup the Development EnvironmentLab : Connect IoT Device to AzureAfter completing this module, students will be able to:
    Explain the core features of the IoT Hub services
    Describe the lifecycle of an Azure IoT device
    Describe how IoT Hub manages device identities and implements other security features
    Register devices with the IoT Hub using the Azure portal, Azure CLI, and Visual Studio Code
    Implement the IoT Hub Device and Service SDKs

Module 3:

    Device Provisioning Service Terms and Concepts
    Configure and Manage the Device Provisioning Service
    Device Provisioning Tasks
    Lab : Individual Enrollment of Devices in DPSLab : Automatic Enrollment of Devices in DPSAfter completing this module, students will be able to:
    Explain the process of device provisioning and the features of the Device Provisioning Service
    Explain the security considerations associated with device provisioning and how they are managed
    Implement the Device Provisioning Service SDKs
    Manage the device enrollment process, including deprovisioning and disenrollment

Module 4:

    Messages and Message Processing
    Data Storage Options
    Azure Stream Analytics
    Lab : Device Message RoutingLab : Filtering and Aggregating Message DataAfter completing this module, students will be able to:
    Configure message and event routing
    Route data to the built-in and custom endpoints
    Implement message enrichment
    Implement Azure Stream Analytics Inputs, Queries, and Outputs
    Store message data in a warm storage for historical purposes and additional analysis
    Use an Azure Function within a message processing and analytics solution

Module 5:

    Business Integration for IoT Solutions
    Data Visualization with Time Series Insights
    Data Visualization with Power BI
    Lab : Integrate IoT Hub with Event GridLab : Explore and Analyze Time Stamped Data with Time Series InsightsAfter completing this module, students will be able to:
    Explain the options for business integration within an IoT solution and how to achieve them
    Develop business integration support using Logic Apps and Event Grid
    Configure IoT Data for Visualization in Time Series Insights
    Configure IoT Data for Visualization in Power BI

Module 6:

    Introduction to Azure IoT Edge
    Edge Deployment Process
    Edge Gateway Devices
    Lab : Introduction to IoT EdgeLab : Set Up an IoT Edge GatewayAfter completing this module, students will be able to:
    Describe the difference between an IoT device and an IoT Edge device
    Configure an IoT Edge device
    Implement an IoT Edge deployment using a deployment manifest
    Configure an IoT Edge device as a gateway device

Module 7:

    Develop Custom Edge Modules
    Offline and Local Storage
    Lab : Develop, Deploy, and Debug a Custom Module on Azure IoT EdgeLab : Run an IoT Edge Device in Restricted Network and OfflineAfter completing this module, students will be able to:
    Explain the requirements for building a custom edge module
    Configure Visual Studio Code for developing containerized modules
    Deploy a custom module to an IoT Edge device
    Implement local storage on an IoT Edge device in support of an offline scenario

Module 8:

    Introduction to IoT Device Management
    Manage IoT and IoT Edge Devices
    Device Management at Scale
    Lab : Remotely Monitor and Control Devices with Azure IoT HubLab : Automatic Device ManagementAfter completing this module, students will be able to:
    Describe the most common device management patterns and configuration best practices
    Describe when and how to use device twins and direct methods to implement device management
    Implement device management for various patterns using device twins and direct methods
    Implement device management at scale using automatic device management and jobs

Module 9:

    Monitoring and Logging
    Troubleshooting
    Lab : Configure Metrics and Logs in Azure IoT HubLab : Monitor and Debug Connection FailuresAfter completing this module, students will be able to:
    Describe the options for monitoring and logging an Azure IoT solution
    Configure Azure Monitor to support of an IoT solution
    Configure IoT Hub Metrics to support of an IoT solution
    Implement diagnostics logging
    Troubleshoot IoT device connection and communication issues

Module 10:

    Security Fundamentals for IoT Solutions
    Introduction to Azure Security Center for IoT
    Enhance Protection with Azure Security Center for IoT Agents
    Lab : Implementing Azure Security Center for IoTAfter completing this module, students will be able to:
    Describe security concerns and best practices for an IoT solution
    Describe the Azure IoT Security Architecture and Threat Modeling
    Describe the features and support provided by Azure Security Center for IoT
    Configure Security Agents and Security Module Twins
    Aggregate Azure Security Center for IoT Events

Module 11:

    Introduction to IoT Central
    Create and Manage Device Templates
    Manage Devices in Azure IoT Central
    Lab : Get Started with Azure IoT CentralLab : Implementing IoT Solutions with Azure IoT CentralAfter completing this module, students will be able to:
    Describe the difference between Azure IoT Central and the Azure IoT PaaS services
    Describe the features provided by Azure IoT Central
    Describe the purpose and components of a Device Template
    Create and publish a Device Template
    Manage devices using rules and notifications
    Mange devices at scale using jobs

 

Test und Zertifizierung


Dieses Seminar behandelt prüfungsrelevante Themen zum Examen:
AZ-220: Microsoft Azure IoT Developer

Kurstermine
Datum
Lokation
Time Zone
Sprache
Type
Durchführungsgarantie
PREIS

12 Sep 2022

Wien

CEDT

German

Classroom

€ 2 120,00

12 Sep 2022

Wien

CEDT

German

Instructor Led Online

€ 2 120,00

06 Feb 2023

Wien

CET

German

Classroom

€ 2 120,00

06 Feb 2023

Wien

CET

German

Instructor Led Online

€ 2 120,00

30 Mai 2023

Wien

CEDT

German

Classroom

€ 2 120,00

30 Mai 2023

Wien

CEDT

German

Instructor Led Online

€ 2 120,00

04 Okt 2023

Wien

CEDT

German

Classroom

€ 2 120,00

04 Okt 2023

Wien

CEDT

German

Instructor Led Online

€ 2 120,00

We also offer sessions in other countries