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Microsoft Azure IoT Developer with Eazzy Learn

The Internet of Things (IoT) is revolutionizing industries by connecting devices, collecting data, and enabling intelligent decision-making. As businesses adopt IoT solutions, the demand for skilled professionals who can design, develop, and manage IoT systems on Microsoft Azure is growing rapidly.

Eazzy Learn’s Microsoft Azure IoT Developer course is designed to equip you with the expertise needed to build scalable, secure, and efficient IoT solutions using Azure’s powerful cloud services. Whether you're a developer, engineer, or IT professional, this course provides hands-on training to help you master Azure IoT technologies and earn the Microsoft Certified: Azure IoT Developer Specialty certification.

Why Become an Azure IoT Developer?

IoT is transforming industries such as manufacturing, healthcare, agriculture, and smart cities. Companies leverage IoT to monitor equipment, optimize operations, and enhance customer experiences. Microsoft Azure provides a robust platform for IoT development, offering tools for device connectivity, data processing, and AI integration.

By becoming an Azure IoT Developer, you can:

  • Design and implement IoT solutions using Azure services.
  • Connect and manage IoT devices securely at scale.
  • Process and analyze real-time data for actionable insights.
  • Integrate AI and machine learning to enhance IoT applications.
  • Boost your career with a globally recognized Microsoft certification.

Key Skills You Will Gain

This course covers essential Azure IoT concepts and practical skills, including:

✦ Azure IoT Fundamentals

  • Understanding IoT architecture and Azure IoT services.
  • Exploring Azure IoT Hub, Azure IoT Central, and Azure Sphere.
  • Comparing IoT communication protocols (MQTT, AMQP, HTTPS).

✦ Device Provisioning and Management

  • Setting up Azure Device Provisioning Service (DPS) for secure device onboarding.
  • Implementing device twins and module twins for configuration management.
  • Managing device lifecycle with Azure IoT Hub.

✦ Data Processing and Analytics

  • Streaming and storing IoT data using Azure Stream Analytics and Azure Data Lake.
  • Implementing time-series insights for real-time monitoring.
  • Using Azure Functions and Logic Apps for event-driven processing.

✦ Security and Compliance

  • Applying Azure IoT security best practices (device authentication, encryption).
  • Implementing X.509 certificates and TPM-based security.
  • Monitoring threats with Azure Security Center for IoT.

✦ Edge Computing with Azure IoT Edge

  • Deploying Azure IoT Edge for offline and low-latency processing.
  • Running custom modules and AI models on edge devices.
  • Integrating Azure Machine Learning with IoT Edge.

✦ Integration with AI and Business Applications

  • Connecting IoT data to Power BI for visualization.
  • Using Azure Machine Learning for predictive maintenance.
  • Automating workflows with Azure Logic Apps and Event Grid.

Who Should Enroll?

This course is ideal for:

  • Software Developers looking to specialize in IoT solutions.
  • Cloud Engineers wanting to expand their Azure IoT expertise.
  • IoT Architects designing scalable and secure systems.
  • IT Professionals seeking certification in Azure IoT.

Why Choose Eazzy Learn for Azure IoT Developer Training?

Eazzy Learn provides a structured, hands-on learning experience with:

  • Expert-led training from certified Azure professionals.
  • Real-world projects to apply IoT concepts in practical scenarios.
  • Exam-focused preparation to help you pass the AZ-220 certification.
  • Flexible learning options, including self-paced and instructor-led sessions.

Conclusion

The Microsoft Azure IoT Developer course at Eazzy Learn empowers you with the skills to build cutting-edge IoT solutions on Azure. With hands-on labs, expert guidance, and industry-relevant projects, you’ll be well-prepared to design, deploy, and manage IoT systems efficiently.

Take the next step in your IoT career—enroll today and become a certified Azure IoT Developer!

Course Curriculum

The AWS Certified Machine Learning – Specialty certification validates expertise in designing, implementing, and optimizing machine learning (ML) solutions on AWS. This course prepares professionals for the exam by covering data engineering, ML model development, deployment, and operational best practices using AWS AI/ML services.

Module 1: Data Engineering for Machine Learning
  • Data Collection & Storage
    • • AWS data sources (S3, Kinesis, RDS, DynamoDB)
    • • Data ingestion pipelines (Glue, Athena, Lake Formation)
  • Data Preprocessing & Feature Engineering
    • • Handling missing data, normalization, encoding
    • • AWS Glue ETL, AWS Data Wrangler
    • • Feature selection & transformation
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