Curriculum Designed By Experts
Expertly designed curriculum for future-ready professionals.
Industry Oriented Curriculam
An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company
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30+  Case Studies & Projects
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9+  Engaging Projects
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10+   Years Of Experience
IOT Training Projects
Become a IOT Expert With Practical and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Intelligent Lighting Control
A lightbulb may be controlled by a microcontroller (such as an Arduino or Raspberry Pi) through a web interface or mobile app. Microcontroller, web server, mobile application, relay module, or lightbulb.
Weather Station
Construct a simple weather station that records temperature and humidity, shows the information on an LCD screen, and uploads it to the cloud. A temperature is one of the necessary elements.
Internet of Things Doorbell
Construct a doorbell system that, when a button is pressed, informs you via your phone. A WiFi module, push button, smartphone app, and microcontroller will make up the system.
Home Automation System with Smart Features
Using a centralized interface, create a system that allows remote control of different household equipment, such as lights and thermostats. microcontroller, motion and temperature sensors, relay modules, and smartphone app.
Internet of Things CCTV
Build a simple security camera system with alerts for motion detection and video streaming to a local network or cloud service. A camera module, motion sensor, microcontroller, and Wi-Fi module are required by the system.
The Intelligent Watering Device
Construct an automated irrigation system with manual override options that is dependent on soil moisture levels and weather forecasts. Water pump, microcontroller, weather API integration, and soil moisture sensor.
Energy Management using Smart Grid
Create a system that will optimize power utilization, cut expenses, and monitor and manage energy consumption in an intelligent grid. Microcontrollers, cloud platforms, data analytics tools, and energy meters.
IoT-Powered Health Monitoring Device
Design and develop a wearable health monitoring gadget that communicates data to a healthcare practitioner while monitoring vital indicators including blood pressure and heart rate. Bluetooth/Wi-Fi module; microcontroller; health sensors (ECG, pulse oximeter).
System of Intelligent Traffic Control
Create a traffic management system that makes use of Internet of Things sensors to track traffic, modify signals in real time, and enhance traffic conditions. Microcontrollers, radar, inductive loop sensors, and traffic cameras.
Key Features
Practical Training
Global Certifications
Flexible Timing
Trainer Support
Study Material
Placement Support
Mock Interviews
Resume Building
Batch Schedule
Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session
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11-Nov-2024 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
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13-Nov-2024 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
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09-Nov-2024 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
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10-Nov-2024 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Enquiry Form
- Learning strategies that are appropriate and tailored to your company's requirements.
- Live projects guided by instructors are a characteristic of the virtual learning environment.
- The curriculum includes of full-day lectures, practical exercises, and case studies.
IOT Training Overview
What goals are achieved in a IOT Training?
One of the main objectives of an Internet of Things (IoT) course is usually to help students comprehend the fundamental ideas behind the architecture of the IoT and its many components, including sensors, actuators, and communication protocols. Students get practical experience with hardware and software integration while learning to build and construct Internet of Things solutions. In order to help students understand and make use of the massive volumes of data produced by Internet of Things devices, the course often addresses data management and analytics. Students also investigate privacy and security issues related to IoT, giving them the tools necessary to create safe apps. The course's ultimate goal is to equip students for issues that arise in IoT innovation and implementation in a variety of sectors.
Future works for IOT
- Improved AI and Machine Learning Integration: As Internet of Things (IoT) devices collect and process data contemporaneously, they will use machine learning and artificial intelligence (AI) more and more to make more intelligent choices, perform planned repairs, and create self-driving systems.
- 5G Connectivity: The introduction of 5G will increase the speed and dependability of interactions, facilitate a greater number of IoT devices, and enhance the efficiency of extremely low latency programs like smart grids and driverless cars.
- Edge Computing: In order to reduce latency situations and consumed bandwidth, Internet of Things (IoT) devices will increasingly use computing capabilities at the edge to analyze content locally to the initial production compared to relying on distributed cloud-based servers.
- Better Security Measures: When Internet of Things connections expand, more attention will be paid to effective safety mechanisms that fend off cyberattacks. This includes improvements in recognizing anomalies, the authentication process, and cryptography.
- Standardization and Interoperability: EAttempts to create global standards and protocols would improve the interoperability of various IoT devices, enabling a smoother combination of platforms and communications.
- Intelligent Cities and Infrastructure: Intelligent communities will be developed using integrated sensors and statistical data analysis, and their infrastructure will be improved to improve public security, environmental sustainability, and traffic regulation.
What new IOT frameworks are there?
New developments in IoT have given rise to several creative frameworks that improve security, scalability, and communication. Among the notable frameworks is AWS IoT Core, which enables developers to create and administer IoT applications effectively through seamless connection with Amazon's cloud services. Azure IoT Hub provides extensive device administration and data processing support, supporting real-time analytics. Google Cloud IoT is another important framework integrating many Google services to provide efficient data processing and machine learning integration. Furthermore, OpenHorizon is becoming more popular because of its emphasis on edge computing, which enables the deployment of containerized apps on various devices. These frameworks seek to improve interoperability, simplify IoT development, and handle the ecosystems' increasing complexity.
Trends and Techniques used in IOT
- Edge Computing: Analyzing information more closely to the source minimizes congestion and network utilization, facilitating immediate analysis and speedier reaction times.
- AI and Machine Learning: Machine learning and artificial intelligence developments improve information analysis by enabling anomaly identification, maintenance planning, and more sophisticated decision-making using IoT data.
- 5G Connectivity: The introduction of 5 G networks offers faster at high rates, a decreased latency, and more dependability, all necessary to accommodate many linked devices.
- Blockchain Technology:The distributed ledger ensures the authenticity of information and reliability in device interactions, improving confidence and openness in Internet of Things operations.
- Interoperability Standards: Creating uniform guidelines and protocols makes it easier for various IoT platforms and devices to communicate, improving system integration as a whole.
- Energy-efficient ProtocolsTo prolong the life of the batteries of Internet of Things equipment, strategies such as low-power Wide Area Networks (LPWAN) and additional energy conservation procedures are essential.
- Energy-efficient ProtocolsIntelligent, sophisticated detectors are increasing, allowing devices to interpret data internally and make choices without depending on online access.
IOT Uses
The Internet of Things (IoT) is the capacity of networked objects to collect and exchange information. It is transforming many industries by encouraging higher creativity and worker efficiency. With the Internet of Things devices such as thermostats, illumination oversight, and surveillance cameras found in intelligent houses, consumers can manage automation and observe their environment. Smartphones, tablets, and distant surveillance technologies improve patient care and simplify timely remedies, enabling immediate health tracking in medical settings. By tracking crop well-being and environmental conditions, IoT sensors are utilized in agriculture to maximize resource utilization and increase yield. IoT solutions can help with scheduled upkeep and supply logistics administration in industrial environments, which reduces operational costs and downtime. Applications for the Internet of Things span several sectors, fostering enhanced choices and elevating.
Career Opportunities After IOT Training
IoT Solutions Architect
An IoT solutions architect oversees the design and implementation of IoT devices and solutions. They collaborate with all parties concerned to understand the company's needs.
IoT Data Analyst
Finding useful insights from the data generated by IoT devices and systems is the responsibility of an IoT data analyst. Identifying trends, patterns, and anomalies is their responsibility.
IoT Embedded Systems Engineer
An IoT embedded technology architect's main duty is to build and optimize the software that is incorporated and the equipment that drives devices in the IoT.
IoT Network Engineer
They facilitate seamless communication and interaction between Internet of Things equipment, diagnose problems with networks, and improve both effectiveness and dependability of functionality.
IoT Security Specialist
They use security methods like access limitations, identification, and cryptography to maintain data and prevent unauthorized access. Assessments of security are done in this task.
IoT Product Manager
IoT Product Managers work together with teams from different departments to identify product needs, develop roadmaps, and ensure compatibility with business objectives and consumer demands.
Skill to Master
Embedded Systems Design
Network Communication Protocols
Data Analysis and Management
Cloud Computing
Programming Languages
Security and Privacy
Wireless Technologies
Sensor and Actuator Integration
Machine Learning and AI
User Interface Design
System Architecture and Design
Project Management
Tools to Master
Arduino IDE
Raspberry Pi
MQTT Brokers
Node-RED
AWS IoT Core
Azure IoT Hub
Google Cloud IoT
ThingSpeak
IBM Watson IoT
Blynk
Home Assistant
Kaa IoT Platform
Learn from certified professionals who are currently working.
Training by
Rutraj , having 15 yrs of experience
Specialized in: Wireless Communication Protocols (MQTT, CoAP), Cloud Integration, IoT Device Management, and Machine Learning for IoT.
Note: Rutraj is a telecoms engineer with vast expertise in creating and deploying IoT ecosystems. He is knowledgeable of numerous communication protocols and thoroughly understands how to link IoT devices with cloud platforms. Amit's hands-on teaching style ensures that students receive both practical and theoretical knowledge, equipping them for employment in the fast-changing IoT market.
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IOT Certification
Obtaining an IoT certificate can help you advance your professional life by proving your knowledge in a fast developing industry. It displays how likely you are to develop, deploy, and handle Internet of Things (IoT) devices, which are increasingly important in businesses like as production, health care, and smart neighborhoods. This accreditation not only improves your technological expertise and expertise, but it additionally renderings you more appealing as an applicant for career chances.
A certification in IoT may help you stand out from the competition and increase your chances of getting hired, but it does not guarantee employment. A job’s acquisition is contingent upon factors such as pertinent work history, interview performance, and prevailing market circumstances. Validating your skills and knowledge increases your credibility and improves your prospects.