Microsoft Azure IoT Developer
Microsoft Azure IoT Developer
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.
At the end of the course the students will be able of:
- 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.
Perfil de los alumnos
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.
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.
Cloud Solution Awareness: Students should have a basic understanding of PaaS, SaaS, and IaaS implementations. Microsoft Azure Fundamentals (AZ-900), or equivalent skills, is recommended.
Our team of highly qualified instructors combine training activities with the development of their profession as experts in the field of IT. Professionals certified by the major manufacturers capable of transferring an enjoyable and easy to understand technical concepts more abstract.
A copy of the official Microsoft documentation.
Contenidos del Microsoft Azure IoT Developer
- Introduction to IoT and Azure IoT Services
- 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: Getting Started with Azure IoT Services
- Devices and Device Communication
- IoT Hub and Devices
- IoT Developer Tools
- Device Configuration and Communication
- Lab: Setup the Development Environment
- Lab: Connect IoT Device to Azure
- Device Provisioning at Scale
- 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
- Message Processing and Analytics
- Messages and Message Processing
- Data Storage Options
- Azure Stream Analytics
- Lab: Device Message Routing
- Lab: Filtering and Aggregating Message Data
- Insights and Business Integration
- 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
- Azure IoT Edge Deployment Process
- Introduction to Azure IoT Edge
- Edge Deployment Process
- Edge Gateway Devices
- Lab: Introduction to IoT Edge
- Lab: Set Up an IoT Edge Gateway
- Azure IoT Edge Modules and Containers
- 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
- Device Management
- 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
- Solution Testing, Diagnostics, and Logging
- Monitoring and Logging
- Lab: Configure Metrics and Logs in Azure IoT Hub
- Lab: Monitor and Debug Connection Failures
- Azure Security Center and IoT Security Considerations
- 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
- Build an IoT Solution with IoT Central
- 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
Active and participatory course through demonstrations, practical exercises and clinical analysis of users of all the theoretical topics taught by the instructor in order to deal with real cases of the related product. The trainer will also use different dynamics that allow group work in the classroom as challenges, evaluation exams and real cases to prepare for the associated Microsoft certification exam, if there is one.
Se emitirá Certificado de Asistencia sólo a los alumnos con una asistencia superior al 75% y Diploma aprovechamiento si superan también la prueba de evaluación.