Skip to content
FullStackDostFullStackDostLearn · Build · Level Up
  • All Courses
  • Updates
  • My Account
  • All Courses
  • Updates
  • My Account
  • Home
  • Full Stack Development

Cloud Services

Curriculum

  • 3 Sections
  • 38 Lessons
  • 6 Weeks
Expand all sectionsCollapse all sections
  • Amazon Web Services (AWS)
    Amazon Web Services (AWS) is a comprehensive and widely used cloud computing platform provided by Amazon.com. It offers a broad range of cloud services, including computing power, storage options, networking capabilities, databases, machine learning, artificial intelligence, analytics, security, and more.
    8
    • 1.1
      Compute Services (EC2): Your First Virtual Server
      45 Minutes
    • 1.2
      Storage Services (S3)
      35 Minutes
    • 1.3
      Database Services
      40 Minutes
    • 1.4
      Networking Services
      40 Minutes
    • 1.5
      Machine Learning and AI Services
      60 Minutes
    • 1.6
      AWS Analytics Services: Unlocking Data Insights
      45 Minutes
    • 1.7
      Security and Identity Services
      50 Minutes
    • 1.8
      Developer Tools
      120 Minutes
  • Azure Cloud Services
    Azure, Microsoft's cloud computing platform, offers a wide range of services for building, deploying, and managing applications and services through Microsoft-managed data centers.
    18
    • 2.1
      Mastering Azure Compute Services: Your Cloud Application Engine
      40 Minutes
    • 2.2
      Networking Services
      120 Minutes
    • 2.3
      Networking Services
    • 2.4
      SQL Database
      60 Minutes
    • 2.5
      Storage Services
      40 Minutes
    • 2.6
      Database Services
      120 Minutes
    • 2.7
      Identity and Access Management
      120 Minutes
    • 2.8
      Security Services
      60 Minutes
    • 2.9
      Monitoring and Management
      80 Minutes
    • 2.10
      Development Tools
      50 Minutes
    • 2.11
      Azure AI & Machine Learning: Empowering Your Full-Stack Applications
      140 Minutes
    • 2.12
      Internet of Things (IoT)
      100 Minutes
    • 2.13
      Unlocking Insights: Analytics and Big Data in Azure
      120 Minutes
    • 2.14
      Developer Tools
      50 Minutes
    • 2.15
      Containers and Serverless Computing: Modernizing Your Azure Applications
      120 Minutes
    • 2.16
      Web and Mobile Services
      60 Minutes
    • 2.17
      Enterprise Integration
      100 Minutes
    • 2.18
      Blockchain Services on Azure: Building Decentralized Solutions
      140 Minutes
  • Google Cloud Platform (GCP)
    Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google, covering various computing resources such as compute power, storage, databases, machine learning, networking, and more. GCP provides businesses and developers with a range of tools and services to build, deploy, and manage applications and services on Google's infrastructure.
    12
    • 3.1
      Compute Services in Google Cloud Platform
      40 Minutes
    • 3.2
      Mastering Container Services on Google Cloud Platform (GCP)
      100 Minutes
    • 3.3
      Serverless Computing
      120 Minutes
    • 3.4
      Storage Services
      90 Minutes
    • 3.5
      Networking Services
      110 Minutes
    • 3.6
      GCP Big Data & Analytics Services: Unlocking Data Insights
      85 Minutes
    • 3.7
      Machine Learning and AI Services
      145 Minutes
    • 3.8
      Developer Tools
      120 Minutes
    • 3.9
      Identity and Access Management
      140 Minutes
    • 3.10
      Security Services
      150 Minutes
    • 3.11
      Internet of Things (IoT) Services
      120 Minutes
    • 3.12
      Monitoring and Management
      60 Minutes

Internet of Things (IoT)

Azure offers a comprehensive suite of Internet of Things (IoT) services and solutions to help organizations build, deploy, and manage IoT applications and solutions at scale. Here are some key Azure IoT services:

  1. Azure IoT Hub:
    • Azure IoT Hub is a managed service that provides bi-directional communication between IoT devices and cloud applications. It enables secure device connectivity, message routing, device management, and telemetry ingestion at scale, allowing organizations to monitor and control their IoT devices remotely.
  2. Azure IoT Central:
    • Azure IoT Central is a fully managed IoT application platform that simplifies the process of building, deploying, and managing IoT solutions without requiring expertise in cloud computing or IoT development. It offers customizable templates, device management features, and analytics dashboards for monitoring and optimizing IoT deployments.
  3. Azure IoT Edge:
    • Azure IoT Edge is a platform for deploying cloud workloads, including AI and analytics, to edge devices such as gateways, sensors, and cameras. It allows organizations to run machine learning models, perform data processing, and implement business logic at the edge, reducing latency, bandwidth costs, and dependency on cloud connectivity.
  4. Azure IoT Hub Device Provisioning Service:
    • Azure IoT Hub Device Provisioning Service automates the provisioning and registration of IoT devices at scale, simplifying the process of onboarding new devices to IoT solutions. It provides zero-touch, just-in-time provisioning, automatic device registration, and integration with IoT Hub for secure device management and communication.
  5. Azure IoT Central Device Bridge:
    • Azure IoT Central Device Bridge enables bi-directional communication between IoT devices and Azure IoT Central applications using various protocols such as MQTT, AMQP, and HTTP. It allows organizations to connect legacy or third-party devices to Azure IoT Central without modifying existing firmware or protocols.
  6. Azure IoT Hub Device SDKs:
    • Azure IoT Hub Device SDKs are client libraries and tools that enable developers to build and deploy IoT device applications for various platforms and programming languages. They provide APIs for device connectivity, message handling, and device management, as well as integration with Azure IoT services for secure and scalable IoT solutions.
  7. Azure IoT Solutions Accelerators:
    • Azure IoT Solutions Accelerators are pre-built, customizable solutions for common IoT scenarios, such as remote monitoring, predictive maintenance, and asset tracking. They provide reference architectures, sample code, and best practices for accelerating the development and deployment of IoT solutions in specific industries and use cases.
  8. Azure IoT Edge Modules:
    • Azure IoT Edge Modules are containerized workloads that run on edge devices within Azure IoT Edge runtime. They can be used to implement custom logic, analytics, or AI inferencing at the edge, allowing organizations to process data locally, reduce latency, and enhance privacy and security in IoT deployments.

These Azure IoT services and solutions empower organizations to connect, monitor, analyze, and act on data from IoT devices effectively, enabling them to derive insights, optimize operations, and drive innovation across a wide range of industries and applications. By leveraging Azure’s scalable and secure platform, organizations can accelerate their IoT initiatives and unlock new business opportunities in the digital era.

Azure AI & Machine Learning: Empowering Your Full-Stack Applications
Prev
Unlocking Insights: Analytics and Big Data in Azure
Next

Copyright © 2026 FullStackDost. All Rights Reserved.

Powered by EduPress