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IOT

Redefine Dimensions Convergence Pvt. Ltd. (RDCPL) offers IoT Training in Delhi in order to facilitate students to start their career in Internet of Things. IoT is an extensive field where anyone from electronics, computer science or mechanical domain can find an opportunity. As this industry grows, more software engineers, IoT Developer will be required. So this is the right time to prepare you and be IoT-ready professional. Now days IOT have a big part in IT industry

RDCPL is one of the IOT Training Institute in Delhi that offers hands on practical knowledge / practical implementation on live projects and will ensure the job with the help of advance level IOT Training Courses. At RDCPL IOT Training in Delhi is conducted by specialist working certified corporate professionals having 27+ years of experience in implementing real-time IOT projects.

IOT Course Structure

  • Architecture of Internet of Things
  • IoT components, devices, hardware and software requirements
  • IoT embedded systems and micro-controllers
  • Various layers of IoT infrastructure
  • Arduino and Raspberry Pi interface for IoT
  • Working with Big Data and deploying Data Analytics
  • USB, HDMI and Ethernet protocols of IoT communication
  • Programming for IoT components and systems
  • Controlling physical IoT devices like switches, motors and sensors
  • IoT support, security, testing, compliance and data management

What is IoT?

The Internet of Things (IoT), is a system of computing devices which are connected together, digital and mechanical machines, objects, animals or people who are provided with UIDs (Unique Identifiers) and the capability to transfer data over a network without the need of human to computer interaction or human to human.
IoT (Internet of Things) can be a person with a heart implant for monitoring, a farm animal can also be implanted with a biochip transponder, an automobile that is equipped with sensors for alerting the driver when the tire pressure is low or in any other man made or natural object that can be assigned an IP address and is apt to transfer data over a network.
Industries are using IoT (Internet of Things) to perform more efficiently, to deliver enhanced customer service, it improves in decision making and also increases the value of the business.


How IoT works?
An IoT (Internet of Things) ecosystem consists of smart devices which are web-enabled and use an embedded processor, sensors and hardware for communication to collect or send and act on a data they receive from the environment. IoT (Internet of Things) devices share the data they which they have collected by connecting to an IoT (Internet of Things) gateway or other edge devices where data is locally analyzed or sent to the cloud to be analyzed. These devices interact with other related devices and act on the data they get from one another. The devices perform most of their work without human interference, although people can still interact with the devices - to set them up or give them instructions.
The communication, networking and connectivity protocols used with these web enabled devices, largely depend on the specific IoT (Internet of Things) devices.

Benefits of IoT (Internet of Things):

  • Monitor overall business processes.
  • Improving the customer experience.
  • Save money and time.
  • Enhances employee productivity.
  • Adapt business models.
  • Better business decisions.
  • Generate more profits.
The future of IoT (Internet of Things)

It is expected that there will be more than 21 billion IoT (Internet of Things) devices by 2025

There were more than 4.7 billion things connected to the internet in 2016, according to the analytics. The market will increase to nearly 11.6 billion IoT (Internet of Things) devices by 2021.

Cyber criminals will keep using IoT devices to facilitate DDoS attacks
The world was introduced to the first "IoT"malware in 2016 ''Mirai Malware" - a type of malicious software that can harm connected devices such as security cameras, DVRs, and more. This malware accessed the devices using default usernames and password.
This malware turned all the affected devices into a "botnet" to facilitate a "DDoS" (Distributed Denial of Service) attack, which intends to flood websites with internet traffic.
This type of malware is named as "Open Source," meaning the code is openly available to modify.

More cities will become "smart"
Consumers are not the only ones who are using IoT devices. Companies and cities will be adopting smart technologies to save their money and time.
That means cities will be able to remotely collect and manage data through devices like visitor kiosks, surveillance systems, bike rental stations.

Artificial intelligence will keep on growing
Smart home thermostats, lighting, hubs, and even coffee maker analyzes and collects data on your patterns of usage. When you plug-in voice-controlled devices, you grant permission to them to record what you speak to them and they store those recordings in their cloud servers. Usually, the data is accumulated to help facilitate "machine learning".
"Machine learning" is a sort of "AI" (Artificial Intelligence) that helps the computer to learn without programming them each time. These computers are programmed in such a way that they only focus on the data they are receiving. This new data helps the machine to learn about your preferences and then adjust accordingly.

Routers will become more secure and smarter
Most of the consumer IoT (Internet of Things) devices reside in the home and security software cannot be installed on them, they are very vulnerable to attacks. This is where the home routers play a vital role. Router is basically the entry point of the internet for your home.
The router is built to provide security at the entry point. A standard wifi router provides mediocre security, like firewalls, password protection.

5G Networks will help the growth of IoT
5G - Fifth Generation cellular wireless - ensures greater speed and an ability to connect more smart devices at a time.
Faster network results in the data collected by the smart devices will be grouped, analyzed and managed quicker. That will help to make more intelligent IoT devices and boost demand for new products.

Cars will get even smarter
The auto industry will shift into a higher gear after the arrival of 5G. The rise of driver less cars will be benefited from faster internet speed.
You might not think that your car as an IoT (Internet of Things) device. But new cars will be analyzing your data and will connect with other IoT devices.

The arrival of 5G will raise new privacy and security concerns
More of the IoT devices will be connected directly to the 5G network rather than a Wi-Fi. Connecting these devices directly to a 5G network will make the devices more exposed to attack.
For home users, where the IoT devices are connected with Wi-Fi are less vulnerable to attack, because they will have to bypass a central router.

IoT based DDoS (Distributed Denial of Service) attacks will get more dangerous
Affected IoT devices are used to bring down websites by Botnet powered DDoS (Distributed Denial of Service) attacks. IoT (Internet of Things) devices can also be used to direct other attacks.
Attempts to weaponize IoT devices may be possible in the future. A viable example would be shutting down home thermostats of the country during the harsh winter in an enemy state. 

Why should you join IoT training?

To get expert level knowledge of IoT tools and technology.

To understand core concepts, sub-domains, and background technologies of IoT.

To gain knowledge and skills of sensors, communication, and micro controller interfaces for building IoT devices.

To get skill and knowledge to build and design a network based on the client server, and collect data, manage assets and monitor.

To have knowledge and skill to address device's, gateway and server side scripts and apps to accumulate and analyze sensor data.

To get the knowledge about web services architectures and select application layer protocols for flawless integration of various components of an IoT ecosystem.

To have knowledge about standard development initiatives and reference architectures.

To understand different types of analytics on machine data for defining context, finding faults, ensuring quality, and extracting actionable insights.

To understand cloud infrastructure, APIs, services, and architectures of industrial and commercial cloud platforms.

To know about the prevalent computing architectures -fog,centralized, edge, and distributed.