
This video will tell topics to covered in IOT expert course.
This video will covers basics of IOT.
This video will cover IOT advantages and disadvantages of IOT.
This video will tell students about IOT challanges.
This video will tell details about IOT major key components.
This video tell details of IOT layer architecture and working of all 7 layers of IOT.
This video tell about basics of IOT middleware, types of middleware and there advantages of using same. Aside how this coordinate with different node with connectivity diagram explained it well.
The application layer of a network enables network entities to identify and interact with each other.This video will cover IOT protocol.
This video will cover Communication Protocol of IOT.
This video will cover data link layer protocols of IOT.
This video will tell details about networking Layer protocol.
This video tell about transport layer protocol.
This video tell about application layer protocol.
This video tell about session Layer protocol.
This video tells about , Cloud Computing,Cloud Computing Architecture, Layered Architecture of Cloud Computing,Cloud Computing Benefits,Types of Cloud, Cloud Computing Services.
This video tell about Cloud Computing Services, Iaas, Pass and Sass , its comparsion, advantages and disadvantages, serverless computing.
This video covers about Edge Computing and Benefits of edge Computing, along edge Computing chart.
This video covers about Fog Computing and Benefits of Fog Computing,Challages for using fog computing along fog Computing chart.
This video covers about Grid Computing and Benefits of Grid Computing, along grid Computing chart.
This video covers Ardunio architecture, block diagram, basic details and mirco controller.
This video explains why ardunio board required in IOT and different type of Arduino boards details.
This video covers Raspberry Pi description, Raspberry Pi Board description details and about Operating Systems Raspberry Pi.
This video covers different Different Models of Raspberry Pi.
This video covers differnce between Raspberry Pi and Arduino.
This video tell how to interact with Arduino.
This video tell how to interface sensor with Arduino.
This video tell how intertact Raspberry Pi sense HAT.
This video will tell methods to connect Raspberry Pi.
This video tell about interfacing swith with Ardiuno.
This video tell way to connect toggle switch with Raspberry Pi.
This video tell about motion sensor interfacing with Raspberry Pi.
This video tells students about Temperature and Humidity measurement with Aurdino.
This video tells about Temperature measurement with Raspberry Pi .
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.