IOT (Internet Of Things) Training
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Learners : 1080
Duration : 30 Days
About Course
Our IOT (Internet of Things) is a system that refers to the connected physical devices that are accessible through the software, sensors, and other technologies for the objective of connecting & exchanging data with other devices over the internet. Everything now from ordinary objects to industrial tools has become a part of the Internet Of Things. This connectivity and seamless communication have been possible due to the ease of development of economical chips, sensors, hardware, and the availability of wireless networks everywhere.
IOT (Internet Of Things) Training Course Syllabus
✔ Introduction to the Internet of Things
✔ Concepts and Definitions of The Internet of Things
✔ History of Internet Of Things
✔ Applications
✔ IoT standards
✔ Requirements
✔ Functionalists and structure
✔ Internet Of Things enabling technologies
✔ Internet Of Things Architecture
✔ Major component of Internet Of Things
✔ Hardware, sensors, Systems-on-a-Chip, firmware, device drivers, application software, connectivity, cloud, and security
✔ Role of wired and wireless communication
✔ Internet Of Things communication and networking protocols
✔ Internet Of Things services and applications
✔ Big data and analytics
✔ Security
✔ Cloud Computing and the Internet of Things
✔ Semantic Web 3.0 Standard for M2M and IoT
✔ Internet Of Things Platforms
✔ Challenges of adapting the concepts
✔ IOT Physical Design, Logical Design, and Characteristics of IoT
✔ Introduction to Sensors and Actuators
✔ Wireless 101
✔ RF 101
✔ ZigBee PRO, ZigBee 3.0 and ZigBee IP
✔ 6LowPAN
✔ RFID
✔ Bluetooth LE or Bluetooth Smart Technology
✔ Z-Wave
✔ Home Automation (HA) Profile
✔ Smart Energy (SE) Profile
✔ Health Care
✔ IEEE 802.15.4, IEEE 802.15.4e, 802.11ah
✔ 802.11ah, Wi-Fi HaLow
✔ Relay Access Point (AP)
✔ Grouping of stations
✔ Target Wake Time (TWT)
✔ Speed Frame Exchange
✔ Sectorization
✔ GSM, CDMA, GPRS,3G, LTE, small cells, SATCOM
✔ Sensors and sensor networks
✔ Serial communication
✔ Power consumption and optimization
✔ MIPI, M-PHY, UniPro, SPMI, BIF, SuperSpeed USB Inter-Chip (SSIC), Mobile PCIe (M-PCIe) and SPI
✔ Wired connectivity
✔ IPv4/IPv6
✔ Ethernet/GigE
✔ Real-time systems and embedded software
✔ Big data
✔ Analytics
✔ Cloud computing and storage
✔ Augmented Reality
✔ IoT Communication Models, IOT Communication APIs
✔ Platforms
✔ Mobile integration
✔ Deployment
✔ Data Visualization
✔ Convergence with Social Networks
✔ Value chain and Business models
✔ User-centric cloud-based services
✔ Analytical Hierarchy Process for technology selection
✔ End-to-end security
✔ Integration with IT systems
✔ Cost/benefit constraints
✔ End-to-end compatibility
✔ Application Architecture
✔ Lifecycle solution management
✔ Real-time response and delay
✔ Raspberry pi - an IoT Device, Installation and Pin Description.
✔ Basic Python Programming Commands for starting raspberry pi desktop.
✔ Remote access of raspberry pi on Laptop via VNC Server.
✔ Basic GPIO Commands for LED Blink, LED Control with a button.
✔ PWM Application to control LED Brightness using GPIO Commands.
✔ Interfacing of sensors with Raspberry pi, ex Temperature & Humidity Sensor.
Live Instructor Based Training With Software |
Lifetime access and 24×7 support |
Certification Oriented content |
Hands-On complete Real-time training |
Get a certificate on course completion |
Flexible Schedules |
Live Recorded Videos Access |
Study Material Provided |
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Instructor-led training, Real-time projects
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Certification Guidance.
Self-Paced Learning
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Complete set of live-online training sessions recorded videos.
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Corporate Training
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Learn As A Full Day Schedule With Discussions, Exercises,
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Practical Use Cases
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Design Your Own Syllabus Based
IOT (Internet Of Things) Training FAQ'S
IoT is an acronym that stands for Internet of Things. Kevin Ashton first coined the term Internet Of Things or the Internet of Things in 1999. It is a network setup of physical objects referred to as "things" embedded with software, electronics, network, and sensors that allow these objects to communicate by collecting and exchanging data over a WIFI network without human interaction. The Internet Of Things devices include embedded systems, i.e., software, electronics, networks, and sensors that allow them to collect data about the surrounding environment, transmit data over a network, respond to remote commands, or take actions based on data collected.
Some examples of Internet Of Things devices or things available today are wearables, implants, smartphones, vehicles, machinery, appliances, computing systems, or other devices that can send and receive data.
The main goal of Internet Of Things is to extend internet connectivity from standard devices like computers, mobile, and tablets and enable internet connectivity to non-communicable devices such as AC, washing machines, toasters, fans, coolers, and other household items.
Connectivity for communication: Connectivity is the most important part of IoT. The Internet of Things consists of networks, data hubs, sensors, etc., for connectivity and cannot work properly without seamless communication among the interrelated components or objects. There are many ways to connect IoT devices such as radio waves, Bluetooth, WiFi, Li-Fi, etc.
Analyzing/Sensing: Analyzing or sensing comes into play when all the relevant components or objects are connected. This step is used to analyze collected data and use it to build effective business intelligence. It is very important to extract knowledge from the collected data. For example, the collected data by sensor won't be of much use unless it is interpreted properly.
Scalability: Scalability is used to handle the massive data generated by the sensors. Each day, more and more elements connect to the IoT zone, generating massive data. So, scalability is a must to handle the immense data correctly.
Active Engagements: IoT uses multiple products, cross-platform technologies, and services to work together on an active engagement basis. It uses blockchain cloud computing to enable active engagements among IoT components in general.
Artificial Intelligence: Artificial Intelligence is an essential part of IoT to make things such as mobile phones, wearables, vehicles, household devices, etc. to make them working smart. For this purpose, it uses data collection, artificial intelligence algorithms, and networked technologies. For example, if you are using an IoT-based coffee machine, it will order coffee beans from the retailer of your choice if the coffee beans will end.
IoT can make smart devices for our everyday lives. The devices embedded in IoT technology can manifest a greater quantum of automation than those available before. IoT can create a greater network that enables different devices to interact freely with each other and make our everyday lives better.
IoT has a lot of positive effects on our daily life. For example, IoT-enabled sensor-driven home appliances such as refrigerators automatically turn off when not in use or virtual assistants, which can regulate most of our devices from the lights used in our room to our television, air conditioning, or playing our favorite music, etc.
IoT is not only limited to our gadgets. Even our wearables have evolved a lot with the use of IoT. Our smartwatches, sunglasses, earphones, and many more have the mark of IoT. If we talk about large-scale applications, the transportation industry, government infrastructure, and educational initiatives are also hugely affected by IoT technology. According to a report by Garter, by 2020, approximately 20.6 billion devices will have IoT elements that connect them.
- Consumer devices
- Healthcare
- Agriculture
- Manufacturing
- Automation and public transportation
- Utilities and energy
- Smart cities and smart homes
- Environmental benefits etc.
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