Certified IOT expert course
IOT basics, Architecture and Design of Internet of Things,Protocols of IOT,Cloud and IOT,Raspberry Pi and Arduino
Internet Of Things,Cloud Computing
Lectures -32
Duration -5.5 hours
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Course 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
6. Remote Monitoring Solution (RMS)
- 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.
Goals
What will you learn in this course:
- 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
Prerequisites
What are the prerequisites for this course?
- Learn should have basic knowledge of Computer Science
- Awareness of IoT functionality
Curriculum
Check out the detailed breakdown of what’s inside the course
IOT, IOT architecture,Advantages and disadvantages of IOT, Challanges in IOT
4 Lectures
- IOT course introduction 04:56 04:56
- IOT basics 14:17 14:17
- IoT Advantages and disadvantages 12:31 12:31
- IoT challenges 08:58 08:58
IOT Architecture and Design
3 Lectures
Protocols of IOT
7 Lectures
Concept & Arctech. major cloud services, providers, Edge, Fog and grid computing
5 Lectures
Raspberry Pi and Arduino details
5 Lectures
Project on Raspberry Pi and Arduino
6 Lectures
Temperature and Humidity measurement with Aurdino and Raspberry Pi
2 Lectures
Instructor Details
Satyendra singh
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