Certified IOT expert course (Udemy.com)

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

6. Remote Monitoring Solution (RMS)

7. Quiz ( MCQ) on IOT Certified course

• 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.