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Course Outline

Unlock IoT Potential

IoT Platform Architecture: AWS IoT, Azure IoT, and Google Cloud IoT Training Course

Rating

9/10

Duration

4 Days

Course Overview

This training course provides a comprehensive understanding of IoT platform architecture, focusing on AWS IoT, Azure IoT, and Google Cloud IoT. Participants will learn how to integrate IoT devices with cloud-based platforms, manage data storage, analytics, and security, and develop scalable IoT solutions. The course includes hands-on exercises to configure and deploy IoT applications on leading cloud platforms.

Format of Training

  • Instructor-led sessions
  • Hands-on lab exercises
  • Practical demonstrations
  • Interactive discussions

Course Objectives

  1. Understand the architecture of AWS IoT, Azure IoT, and Google Cloud IoT.
  2. Connect and manage IoT devices on cloud platforms.
  3. Implement data storage and real-time analytics for IoT applications.
  4. Secure IoT communication and cloud-based deployments.
  5. Explore edge computing and AI integration with cloud IoT.
  6. Optimize IoT workflows using cloud automation tools.
  7. Develop and deploy an end-to-end IoT application on AWS, Azure, or Google Cloud.

Prerequisites

  • Basic understanding of IoT concepts
  • Familiarity with networking and cloud computing fundamentals
  • Basic programming knowledge (Python, C/C++ preferred)
  • No prior experience with cloud IoT platforms required
Course Outline

Day 1

Session 1: Introduction to IoT Cloud Platforms

  • The role of cloud computing in IoT
  • Overview of AWS IoT, Azure IoT, and Google Cloud IoT
  • Benefits of cloud-based IoT deployments

Session 2: AWS IoT Core Architecture

  • Components of AWS IoT Core (Things, Device Shadow, Rules Engine)
  • AWS IoT communication protocols (MQTT, HTTP, WebSockets)
  • Hands-on: Connecting an IoT device to AWS IoT Core

Session 3: AWS IoT Data Storage and Analytics

  • Storing IoT data in AWS S3, DynamoDB, and AWS IoT Analytics
  • Processing IoT data with AWS Lambda and Amazon Kinesis
  • Hands-on: Implementing real-time analytics for IoT data on AWS

Day 2

Session 1: Azure IoT Hub and Device Management

  • Overview of Azure IoT Hub and IoT Edge
  • Configuring device provisioning and monitoring
  • Hands-on: Onboarding and managing IoT devices in Azure IoT Hub

Session 2: Azure IoT Data Processing and Visualization

  • Using Azure Time Series Insights and Power BI
  • Processing IoT data with Azure Stream Analytics and Azure Functions
  • Hands-on: Building an IoT analytics dashboard on Azure

Session 3: Security and Access Control in Cloud IoT Platforms

  • Implementing TLS/SSL encryption, authentication, and IAM policies
  • Securing IoT data transmission and cloud storage
  • Hands-on: Configuring security policies for IoT devices

Day 3

Session 1: Google Cloud IoT Core Architecture

  • Understanding Google Cloud IoT Core components
  • IoT device communication using Google Pub/Sub and MQTT
  • Hands-on: Connecting an IoT device to Google Cloud IoT Core

Session 2: Google Cloud AI and IoT Integration

  • Implementing AI and machine learning on IoT data using Google AI Platform
  • Automating IoT analytics using BigQuery and Cloud Functions
  • Hands-on: Deploying a predictive analytics model on Google Cloud IoT

Session 3: Hybrid IoT Architecture: Combining Edge and Cloud

  • Understanding edge-to-cloud communication strategies
  • Deploying Azure IoT Edge and AWS Greengrass for real-time processing
  • Hands-on: Running edge computing workloads with cloud IoT platforms

Day 4

Session 1: Case Studies of Cloud-Based IoT Deployments

  • IoT applications in smart cities, healthcare, industrial automation
  • Lessons from successful cloud IoT implementations
  • Hands-on: Evaluating an industry case study

Session 2: Building an End-to-End IoT Solution

  • Designing an IoT system with sensors, cloud storage, and analytics
  • Configuring data pipelines for real-time monitoring
  • Hands-on: Developing a cloud-integrated IoT prototype

Session 3: Future Trends in Cloud IoT Architecture

  • The role of 5G, AI, and edge intelligence in cloud IoT
  • Emerging serverless and event-driven IoT architectures
  • Hands-on: Finalizing and presenting a cloud-based IoT project

Bespoke Option

We are open to customizing this program to align with your specific learning objectives. If your team has particular goals or areas they wish to focus on, we would be happy to tailor the course outline to meet those needs and ensure the program supports the achievement of your desired outcomes.

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Course Name: IoT Platform Architecture: AWS IoT, Azure IoT, and Google Cloud IoT Training Course

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