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    SpicyMags.xyz

    Certified IOT expert course

    Posted By: lucky_aut
    Certified IOT expert course

    Certified IOT expert course
    Published 9/2023
    Duration: 1h 13m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 949 MB
    Genre: eLearning | Language: English

    IOT basics, Architecture and Design of Internet of Things,Protocols of IOT,Cloud and IOT,Raspberry Pi and Arduino

    What you'll learn
    IOT Basics
    IOT Architecture and Design
    IOT protocols
    IOT and cloud
    Arduino, Raspberry Pi
    Arduino and Raspberry detailed project
    Humidity measurement and Temperature using Arduino, Raspberry Pi
    IOT Components
    Layer Architecture of Internet of things
    Requirements
    Learn should have basic knowledge of Computer Science
    Awareness of IoT functionality
    Description
    This course will cover below mentioned details
    1. IOT
    IOT definitions
    Advantages and disadvantages
    challenges of IOT
    2. IOT Architecture and Design
    - Components
    - Layer Architecture
    - Middleware of IOT
    3. Internet of things protocols
    IOT Protocols description
    Communication Protocol
    Data Link Protocol
    Networking Layer Protocols
    Transport Layer Protocol
    Application Layer Protocol
    4. Cloud and IOT
    a. Cloud details
    b. Major Cloud service providers
    c. Edge Computing
    d. Fog Computing
    e. Grid Computing
    5. Raspberry Pi and Arduino
    1. Arduino Description
    2. Arduino Boards Types
    3. Raspberry Pi description
    4. Raspberry Pi Models
    5. Raspberry Pi and Arduino comparison

    6. Raspberry Pi and Arduino project
    • Uses of sensor
    • Use interface switches
    • MQTT,COAP Messaging
    • Raspberry and Arduino Pi coordination
    • While the idea of IoT has been in existence for a long time, a collection of recent advances in a number of different technologies has made it practical.

    Access to low-cost, low-power sensor technology.
    Affordable and reliable sensors are making IoT technology possible for more manufacturers.

    Connectivity.
    A host of network protocols for the internet has made it easy to connect sensors to the cloud and to other “things” for efficient data transfer.

    Cloud computing platforms.
    The increase in the availability of cloud platforms enables both businesses and consumers to access the infrastructure they need to scale up without actually having to manage it all.

    Machine learning and analytics.
    With advances in machine learning and analytics, along with access to varied and vast amounts of data stored in the cloud, businesses can gather insights faster and more easily. The emergence of these allied technologies continues to push the boundaries of IoT and the data produced by IoT also feeds these technologies.

    Conversational artificial intelligence (AI).
    Advances in neural networks have brought natural-language processing (NLP) to IoT devices (such as digital personal assistants Alexa, Cortana, and Siri) and made them appealing, affordable, and viable for home use.
    Who this course is for:
    Programmers and Developers
    Software Engineers and Architects
    Project Managers
    Data Analysts
    Application Architects
    University Professors and Students

    More Info