Curriculam 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
Smart Home Lighting System
Create an IoT-based smart lighting system that lets you control home lights via a smartphone app, using basic sensors, relays, and Wi-Fi modules.
Weather Monitoring Station
Utilizing sensors such as the DHT11, construct a basic weather station to track humidity and temperature. A cloud platform receives the data, allowing for remote monitoring.
IoT Door Alarm
Develop a door alarm using an ultrasonic sensor and a microcontroller, which sends notifications to your smartphone whenever the door is opened or closed.
Smart Irrigation System
Design an IoT system that automates garden watering based on soil moisture levels, with data transmitted to your phone for remote monitoring and control.
IoT-Based Air Quality Monitoring
Build a device that measures air quality parameters (CO2, dust, etc.) using sensors, sending data to a cloud dashboard for real-time analysis and alerts.
Smart Energy Meter
Create an IoT energy meter that monitors household energy usage in real-time, providing data to a smartphone app, helping users optimize their energy consumption.
IoT-Based Industrial Automation
Implement an industrial automation system using IoT to control machinery remotely, integrating sensors and actuators for real-time performance tracking.
Smart City Parking System
Develop a smart parking solution using IoT sensors to detect available parking spaces, sending data to a centralized system that users can access via an app.
Autonomous Delivery Robot
Design an autonomous robot using IoT, GPS, and machine learning algorithms for real-time navigation and obstacle avoidance, aimed at last-mile delivery services.
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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16-Sep-2024 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
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11-Sep-2024 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
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14-Sep-2024 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
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14-Sep-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
IOT Programmer’s Potential Career Paths
An IoT programmer can explore diverse career paths, including becoming an IoT Solutions Architect, designing comprehensive IoT systems and ensuring their seamless integration. They might also pursue roles as an IoT Software Developer, focusing on creating and optimizing applications that interact with IoT devices. A position as a Data Analyst in IoT could involve interpreting data generated by IoT devices to drive business decisions. Additionally, roles such as IoT Security Specialist are crucial, focusing on protecting IoT systems from vulnerabilities. As an IoT Consultant, one can advise businesses on how to implement IoT solutions effectively. Lastly, an IoT Product Manager would oversee the development and deployment of IoT products, managing cross-functional teams and aligning products with market needs.
Requirements for an IoT Course
- Basic Knowledge of Programming Languages: Understanding languages like Python, C, or Java is crucial as they are commonly used in IoT development. This foundational knowledge helps in writing and debugging code for IoT devices.
- Understanding of Networking Fundamentals: Knowledge of networking protocols and concepts, such as TCP/IP, HTTP, and MQTT, is essential for managing communication between IoT devices and networks.
- Familiarity with Hardware Components: Basic knowledge of sensors, actuators, and microcontrollers helps in understanding how IoT devices interact with the physical world.
- Experience with Cloud Platforms: Proficiency in cloud services like AWS, Azure, or Google Cloud is important for storing and processing data generated by IoT devices.
- Knowledge of Data Security Practices: Understanding the principles of cybersecurity is vital to protect IoT systems from potential threats and vulnerabilities.
- Problem-Solving Skills: Strong analytical and problem-solving abilities are needed to troubleshoot issues, optimize performance, and innovate new solutions in the IoT domain.
Reasons to Consider Enrolling in an IoT Course
Enrolling in an IoT course offers several compelling benefits. It provides specialized knowledge in the rapidly evolving field of Internet of Things, equipping you with skills to design, develop, and manage IoT systems. Courses often include hands-on projects, giving practical experience that enhances your employability. By learning IoT technologies, you can stay ahead in a competitive job market where IoT skills are increasingly in demand. Additionally, IoT courses typically cover various aspects such as programming, networking, and security, offering a comprehensive understanding of the field. Networking opportunities with industry professionals and peers can also lead to valuable connections and career advancements. Finally, an IoT course can open doors to diverse career paths, from software development to systems architecture.
Techniques and Trends in IoT Development
- Edge Computing: This technique involves processing data closer to the source of generation, reducing latency and bandwidth usage by analyzing data on IoT devices themselves or nearby edge servers.
- Artificial Intelligence (AI) and Machine Learning (ML): Integrating AI and ML with IoT enables devices to learn from data, make autonomous decisions, and improve over time without human intervention.
- 5G Technology: The rollout of 5G networks enhances IoT capabilities by providing higher speeds, lower latency, and increased connectivity, which are essential for real-time applications.
- Blockchain for Security: Blockchain technology is used to secure IoT transactions and ensure data integrity, offering a decentralized and tamper-proof method to protect IoT systems.
- Digital Twins: Creating digital replicas of physical objects or systems allows for real-time monitoring, simulation, and optimization, enhancing predictive maintenance and operational efficiency.
- Low-Power Wide-Area Networks (LPWAN): LPWAN technologies like LoRaWAN and NB-IoT are designed for low-power, long-range communication, ideal for applications with infrequent data transmission and extended coverage.
The Most Recent IoT Tools
The latest developments in IoT technologies are concentrated on improving data management, security, and connection. Scalability and connection with other cloud services are offered by tools such as AWS IoT Core and Azure IoT Hub, which offer stable platforms for managing and connecting IoT devices. Real-time insights are made possible by Google Cloud IoT, which offers complete solutions for data intake and analysis. For creating IoT projects, Particle and Arduino IoT provide hardware and development environments that are easy to use. For security, Tendermint and Chainlink leverage blockchain technology to ensure secure and transparent IoT operations.
Career Opportunities After IOT Training
IoT Solutions Architect
Designs and develops scalable IoT solutions by integrating hardware and software components, focusing on system architecture, data management, and security to meet client needs and industry standards.
IoT Data Analyst
Analyzes data generated from IoT devices to uncover insights, trends, and patterns, helping businesses make informed decisions and optimize their IoT systems for improved performance and efficiency.
IoT Embedded Systems Engineer
Develops and tests embedded systems for IoT devices, working on firmware and hardware integration to ensure reliable device functionality and connectivity in various applications.
IoT Network Engineer
Manages and optimizes network infrastructure for IoT deployments, ensuring seamless connectivity, low latency, and robust network performance to support a large number of IoT devices.
IoT Security Specialist
Focuses on protecting IoT systems from cyber threats by implementing security measures, conducting vulnerability assessments, and ensuring data privacy across interconnected devices.
IoT Product Manager
Oversees the development and lifecycle of IoT products, coordinating between engineering, marketing, and sales teams to ensure product success and alignment with market needs and company goals.
Skill to Master
IoT Architecture Design
Embedded Systems Development
Data Analytics and Visualization
Network Connectivity and Protocols
Cybersecurity and Data Protection
Cloud Computing Integration
Device Communication and Management
Firmware Development
Big Data Processing
Real-Time Data Processing
IoT System Integration
Machine Learning and AI Applications
Tools to Master
Arduino
Raspberry Pi
MQTT
AWS IoT Core
Google Cloud IoT
Azure IoT Hub
Node-RED
ThingsBoard
Particle
Blynk
Kaa IoT Platform
InfluxDB
Learn from certified professionals who are currently working.
Training by
Priya , having 15 yrs of experience
Specialized in: Smart Home Technologies, Wearable IoT Devices, Connected Vehicles, IoT Security, and Real-Time Data Processing.
Note: Priya has extensive experience in designing smart home solutions and is skilled in IoT protocols and security best practices, offering hands-on guidance in deploying IoT solutions.
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IOT Certification
IoT certifications provide professionals with specialized knowledge and skills in the Internet of Things domain, enhancing their credibility and marketability in a competitive job market. They demonstrate expertise in designing, implementing, and managing IoT solutions, which can lead to career advancement, higher earning potential, and opportunities to work on cutting-edge technologies. Certifications also help in keeping up with the latest trends and practices in IoT, making individuals more valuable to employers and increasing their ability to tackle complex IoT projects.
An IoT certification does not guarantee a job but significantly enhances your employability by proving your expertise in IoT technologies. It can open doors to job opportunities and make you a more attractive candidate to employers looking for qualified professionals in the IoT field. However, securing a job also depends on other factors such as relevant experience, skills, and market conditions.
With an IoT certification, you can pursue various roles such as IoT Solutions Architect, IoT Data Analyst, IoT Embedded Systems Engineer, IoT Security Specialist, and IoT Product Manager. These positions involve designing and implementing IoT solutions, analyzing data from IoT devices, ensuring security for IoT networks, and managing IoT products and projects.