Kursusmål
This course provides students with the skills and knowledge required to successfully create and maintain the cloud and edge portions of an Azure IoT solution. The course includes full coverage of the core Azure IoT services such as IoT Hub, Device Provisioning Services, Azure Stream Analytics, Time Series Insights, and more. In addition to the focus on Azure PaaS services, the course includes sections on IoT Edge, device management, monitoring and troubleshooting, security concerns, and Azure IoT Central.Deltagere
An Azure IoT Developer is responsible for implementing and then maintaining the cloud and edge portions of an Azure IoT solution. In addition to configuring and maintaining devices by using Azure IoT services and other Microsoft tools, the IoT Developer also sets up the physical devices and is responsible for maintaining the devices throughout the life cycle. The IoT Developer implements designs for IoT solutions, including device topology, connectivity, debugging and security. For Edge device scenarios, the IoT Developer also deploys compute/containers and configures device networking, which could include various edge gateway implementations. The IoT Developer implements designs for solutions to manage data pipelines, including monitoring and data transformation as it relates to IoT. The IoT Developer works with data engineers and other stakeholders to ensure successful business integration. IoT Developers should have a good understanding of Azure services, including data storage options, data analysis, data processing, and the Azure IoT PaaS versus SaaS options. IoT Developers should have basic programming skills in at least one Azure-supported language, including C#, Node.js, C, Python, or Java.Skills gained
- 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.
Prerequisites
- Cloud Solution Awareness: Students should have experience using the Azure Portal and a basic understanding of PaaS, SaaS, and IaaS implementations.
- Software Development Experience: Software development experience is a prerequisite for this course, but no specific software language is required, and the experience does not need to be at a professional level.
- Data Processing Experience: General understanding of data storage and data processing is a recommended but not required.
Kursusmateriale
Før kurset- Mulighed for at tale med en instruktør, der kan hjælpe dig med at finde det helt rigtige kursus.
- Undervisning af Danmarks mest erfarne instruktørteam i hyggelige og fuldt opdaterede kursuslokaler i centrum af København.
- Et kursus bestående af en vekslen mellem teori og praktiske øvelser. Vi ved, hvor vigtigt det er, at du får tid til at arbejde med opgaverne i praksis, og derfor har vi altid fokus på hands-on i undervisningen.
- Et kursusmateriale, som du efterfølgende kan bruge som opslagsværk samt et opgavesæt, der understøtter kurset.
- Fuld forplejning, som inkluderer morgenmad, friskbrygget kaffe, te, frugt, sodavand, frokost på en italiensk restaurant på Gråbrødretorv, kage, slik, og naturligvis Wi-Fi til dine devices.
- Et kursuscertifikat med bevis på dine nye kvalifikationer.
- Adgang til vores gratis hotline, som betyder, at du op til et år efter kurset kan ringe eller skrive til os, hvis du har spørgsmål til de emner, der er blevet gennemgået på kurset.
- Vores unikke tilfredshedsgaranti, som er din tryghed for at få fuldt udbytte af dit kursus.
Kurset bliver afholdt på dansk, men vi benytter Microsofts digitale materiale (DMOC), som er på engelsk.
Du vil efterfølgende have adgang til materialet både online og lokalt. I tilfælde af at Microsoft laver en ny version af kursusmaterialet, vil du automatisk få adgang til det. Derudover vil du have adgang til øvelser via Microsoft Labs Online i 180 dage i alt, og du kan derfor fortsætte eller starte forfra på en øvelse hjemmefra, under eller efter kurset, alt efter behov.materialet både online og lokalt. I tilfælde af at Microsoft laver en ny version af kursusmaterialet, vil du automatisk få adgang til det
Kursusindhold
Module 1: Introduction to IoT and Azure IoT Services
In this module, students will begin by examining the business considerations for various IoT implementations and reviewing how the Azure IoT Reference Architecture supports IoT solutions. This module also provides students with an overview of the Azure services commonly used in an IoT solution and provides an introduction to the Azure portal.
Lessons
Lab Scenarios for this Course
Lab : Getting Started with Azure
Lab : Setting Started with Azure IoT Services
After completing this module, students will be able to:
Lessons
- Business Opportunities for IoT
- Introduction to IoT Solution Architecture
- IoT Hardware and Cloud Services
Lab Scenarios for this Course
Lab : Getting Started with Azure
Lab : Setting Started with Azure IoT Services
After 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: Devices and Device Communication
In this module, students will take a closer look at the Azure IoT Hub service and will learn how to configure secure two-way communication between IoT hub and devices. Students will also be introduced to IoT Hub features such as Device Twins and IoT Hub Endpoints that will be explored in more depth as the course continues.
Lessons
Lab : Connect IoT Device to Azure
After completing this module, students will be able to:
Lessons
- IoT Hub and Devices
- IoT Developer Tools
- Device Configuration and Communication
Lab : Connect IoT Device to Azure
After 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 at Scale
In this module, students will focus on device provisioning and how to configure and manage the Azure Device Provisioning Service. Students will learn about the enrollment process, auto-provisioning and re-provisioning, disenrollment, and how to implement various attestation mechanisms.
Lessons
Lab : Individual Enrollment of Devices in DPS
Lab : Automatic Enrollment of Devices in DPS
After completing this module, students will be able to:
Lessons
- Device Provisioning Service Terms and Concepts
- Configure and Manage the Device Provisioning Service
- Device Provisioning Tasks
Lab : Individual Enrollment of Devices in DPS
Lab : Automatic Enrollment of Devices in DPS
After 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: Message Processing and Analytics
In this module, students will examine how IoT Hub and other Azure services can be used to process messages. Students will begin with an investigation of how to configure message and event routing and how to implement routing to built-in and custom endpoints. Students will learn about some of the Azure storage options that are common for IoT solutions. To round out his module, students will implement Azure Stream Analytics and queries for a number of ASA patterns.
Lessons
Lab : Device Message Routing
Lab : Filtering and Aggregating Message Data
After completing this module, students will be able to:
Lessons
- Messages and Message Processing
- Data Storage Options
- Azure Stream Analytics
Lab : Device Message Routing
Lab : Filtering and Aggregating Message Data
After 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: Insights and Business Integration
In this module, students will learn about the Azure services and other Microsoft tools that can be used to generate business insights and enable business integration. Students will implement Azure Logic Apps and Event Grid, and they will configure the connection and data transformations for data visualization tools such as Time Series Insights and Power BI.
Lessons
Lab : Integrate IoT Hub with Event Grid
Lab : Explore and Analyze Time Stamped Data with Time Series Insights
After completing this module, students will be able to:
Lessons
- Business Integration for IoT Solutions
- Data Visualization with Time Series Insights
- Data Visualization with Power BI
Lab : Integrate IoT Hub with Event Grid
Lab : Explore and Analyze Time Stamped Data with Time Series Insights
After 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: Azure IoT Edge Deployment Process
In this module, students will learn how to deploy a module to an Azure IoT Edge device. Students will also learn how to configure and use an IoT Edge device as a gateway device.
Lessons
Lab : Introduction to IoT Edge
Lab : Set Up an IoT Edge Gateway
After completing this module, students will be able to:
Lessons
- Introduction to Azure IoT Edge
- Edge Deployment Process
- Edge Gateway Devices
Lab : Introduction to IoT Edge
Lab : Set Up an IoT Edge Gateway
After 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: Azure IoT Edge Modules and Containers
In this module, students will develop and deploy custom edge modules, and will implement support for an offline scenario that relies on local storage. Students will use Visual Studio Code to build custom modules as containers using a supported container engine.
Lessons
Develop Custom Edge Modules
Offline and Local Storage
Lab : Develop, Deploy, and Debug a Custom Module on Azure IoT Edge
Lab : Run an IoT Edge Device in Restricted Network and Offline
After completing this module, students will be able to:
Lessons
Develop Custom Edge Modules
Offline and Local Storage
Lab : Develop, Deploy, and Debug a Custom Module on Azure IoT Edge
Lab : Run an IoT Edge Device in Restricted Network and Offline
After 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: Device Management
In this module, students will learn how to implement device management for their IoT solution. Students will develop device management solutions that use devoice twins and solutions that use direct methods.
Lessons
Introduction to IoT Device Management
Manage IoT and IoT Edge Devices
Device Management at Scale
Lab : Remotely Monitor and Control Devices with Azure IoT Hub
Lab : Automatic Device Management
After completing this module, students will be able to:
Lessons
Introduction to IoT Device Management
Manage IoT and IoT Edge Devices
Device Management at Scale
Lab : Remotely Monitor and Control Devices with Azure IoT Hub
Lab : Automatic Device Management
After 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: Solution Testing, Diagnostics, and Logging
In this module, students will configure logging and diagnostic tools that help developers to test their IoT solution. Students will use IoT Hub and Azure Monitor to configure alerts and track conditions such as device connection state that can be used to troubleshoot issues.
Lessons
Lab : Configure Metrics and Logs in Azure IoT Hub
Lab : Monitor and Debug Connection Failures
After completing this module, students will be able to:
Lessons
- Monitoring and Logging
- Troubleshooting
Lab : Configure Metrics and Logs in Azure IoT Hub
Lab : Monitor and Debug Connection Failures
After 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: Azure Security Center and IoT Security Considerations
In this module, students will examine the security considerations that apply to an IoT solution. Students will begin by investigating security as it applies to the solution architecture and best practices, and then look at how Azure Security Center for IoT supports device deployment and IoT Hub integration. Students then use Azure Security Center for IoT Agents to enhance the security of their solution.
Lessons
Lab : Implementing Azure Security Center for IoT
After completing this module, students will be able to:
Lessons
- 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 IoT
After 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: Build an IoT Solution with IoT Central
In this module, students will learn how configure and implement Azure IoT Central as a SaaS solution for IoT. Students will begin with a high-level investigation of IoT Central and how it works. With a basic understanding of IoT central establish, students will move on to creating and managing device templates, and then managing devices in their IoT Central application.
Lessons
Lab : Get Started with Azure IoT Central
Lab : Implementing IoT Solutions with Azure IoT Central
After completing this module, students will be able to:
Lessons
- Introduction to IoT Central
- Create and Manage Device Templates
- Manage Devices in Azure IoT Central
Lab : Get Started with Azure IoT Central
Lab : Implementing IoT Solutions with Azure IoT Central
After 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
Tilmelding til kurset:
AZ-220 Microsoft Azure IoT Developer
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Din bestilling
AZ-220 Microsoft Azure IoT Developer
Længde
4 dage
Pris
15.600 kr.
ex moms
Sted
København K
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0
Samlet pris
0 kr. ex moms
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Amagertorv 21, 2. sal
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Indgang fra Læderstræde 22-26
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Kursusindgang
Amagertorv 21, 2. sal
Indgang fra Læderstræde 22-26
1201 København K
Indgang fra Læderstræde 22-26
1201 København K
Åbningstider
| Mandag: | 08.30 - 16.00 |
| Tirsdag: | 08.30 - 16.00 |
| Onsdag: | 08.30 - 16.00 |
| Torsdag: | 08.30 - 16.00 |
| Fredag: | 08.30 - 16.00 |
Kontaktoplysninger
Amagertorv 21, 2. sal
Indgang fra Læderstræde 22-26
1201 København K
Indgang fra Læderstræde 22-26
1201 København K
