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See why over 25,000+ Students choose ACTE
Curriculum Designed By Experts
Expertly designed curriculum for future-ready professionals.
Industry Oriented Curriculum
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 LED Control
Use an Arduino or Raspberry Pi to control an LED light using a mobile app or web interface.
Temperature & Humidity Monitor
Build a simple weather station using a DHT11 sensor and display data on an LCD screen or send it to a cloud dashboard.
IoT-Based Motion Detector
Create a motion sensor system using a PIR sensor that triggers an alert when movement is detected.
Smart Irrigation System
Build an automatic irrigation system that uses soil moisture sensors to determine when to water plants.
IoT-Based Air Quality Monitor
Use an MQ135 sensor to measure air pollution levels and display the data on a cloud dashboard.
RFID-Based Smart Attendance System
Implement an RFID system to log attendance automatically and upload the data to a cloud server.
AI-Powered Smart Home Automation
Integrate IoT with AI to create a voice-controlled home automation system using Google Assistant or Alexa.
Autonomous Drone for Surveillance
An Autonomous Surveillance Drone is a smart, unmanned aerial vehicle that leverages IoT technology.
IoT-Based Predictive Maintenance for Industries
Use IoT sensors and machine learning to predict equipment failures in an industrial setup.
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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10 - Nov - 2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
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12 - Nov - 2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
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15 - Nov - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
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16 - Nov - 2025 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 Programming Course in HSR Layout with Potential Career Paths
A career in IoT Training Institute in HSR Layout offers diverse opportunities across multiple industries, including smart cities, healthcare, manufacturing, and automotive sectors. As IoT continues to expand, skilled professionals can pursue roles such as IoT Developer, Embedded Systems Engineer, IoT Architect, Cloud Engineer, and AIoT (AI + IoT) Specialist. These professionals design and implement IoT solutions, develop embedded software, and integrate cloud services to create smart, connected devices. With the rise of Industrial IoT (IIoT) and Edge Computing, demand for IoT professionals is growing, making it a lucrative field with endless possibilities.
The Requirements for an IoT Course Training in HSR Layout
- Programming Knowledge : IoT devices require software to operate efficiently, making programming skills a fundamental requirement. IoT developers should be familiar with multiple programming languages to handle different tasks
- Embedded Systems & Microcontrollers : Microcontrollers and Development Boards – Popular platforms include Raspberry Pi, Arduino, ESP8266, and ARM Cortex processors. These are used to design, prototype, and develop IoT applications.
- Networking & Communication Protocols: MQTT (Message Queuing Telemetry Transport) – A lightweight messaging protocol designed for low-bandwidth IoT communication.
- Cloud Platforms & IoT Infrastructure : IoT generates massive amounts of data, which needs to be stored, processed, and analyzed efficiently. Experience with cloud platforms is essential for managing IoT ecosystems.
- Data Analytics & AI Integration: IoT applications generate vast amounts of real-time data, which needs to be analyzed for decision-making. Professionals with expertise in data analytics and AI integration can extract valuable insights from IoT-generated data.
Enrolling IoT Class in HSR Layout
The Internet of Things (IoT) is transforming industries by connecting devices, automating processes, and improving efficiency. Enrolling in an IoT course helps professionals stay ahead in this rapidly evolving field by gaining expertise in IoT architecture, cloud integration, data analytics, and security. IoT skills are in high demand, making it easier to land job opportunities in tech companies, industrial automation, smart cities, and healthcare. Additionally, IoT courses provide hands-on experience with real-world projects, allowing learners to build a strong portfolio and apply their skills effectively.
Techniques and Trends with IoT Development in HSR Layout
- Edge Computing: Edge computing is an advanced IoT technique that involves processing data closer to the source of generation—such as IoT sensors, devices, or gateways—rather than relying solely on a centralized cloud infrastructure.
- AI-Driven IoT: AIoT (Artificial Intelligence of Things) is the fusion of AI and IoT to create intelligent, self-learning IoT devices. By integrating machine learning (ML) and deep learning algorithms into IoT systems.
- Digital Twin Technology: A Digital Twin is a virtual replica of a physical object, process, or system that allows businesses to simulate, monitor, and optimize real-world assets in a digital environment.
The Most Recent IoT Tools
The development of Internet of Things (IoT) solutions relies on a range of powerful tools and platforms that streamline device connectivity, cloud integration, and data processing. These tools help developers build scalable, efficient, and intelligent IoT applications. Among the most popular hardware for IoT prototyping are Raspberry Pi and Arduino, both of which provide cost-effective and flexible solutions for connecting sensors, processing data, and executing automation tasks. Raspberry Pi, being a full-fledged microcomputer, is particularly useful for applications requiring advanced computation and edge processing, while Arduino is ideal for simpler, low-power applications such as home automation and smart wearables.
Career Opportunities After IOT Training
IoT Solutions Architect
An IoT Solutions Architect designs and implements end-to-end IoT solutions for businesses by integrating hardware, software, and cloud technologies. They work closely with development teams, ensuring that IoT systems are scalable, secure, and efficient.
IoT Embedded Systems Engineer
An IoT Embedded Systems Engineer specializes in developing and programming microcontrollers, sensors, and actuators that power IoT devices. They work with platforms like Arduino, Raspberry Pi, ESP8266, and ARM Cortex, writing low-level code in C, C++, and Python to control hardware.
IoT Data Analyst
An IoT Data Analyst is responsible for processing, analyzing, and deriving insights from vast amounts of IoT-generated data. They use big data tools, machine learning algorithms, and AI models to detect patterns, predict failures, and optimize IoT device performance.
IoT Security Engineer
An IoT Security Engineer focuses on securing IoT devices, networks, and cloud platforms from cyber threats. They implement encryption, authentication protocols, and secure firmware updates to prevent unauthorized access.
IoT Cloud Engineer
An IoT Cloud Engineer develops and manages cloud-based IoT platforms that store, process, and analyze real-time data. They work with cloud services like AWS IoT Core, Google Cloud IoT, and Microsoft Azure IoT Hub to build scalable IoT architectures.
IoT Test Engineer
An IoT Test Engineer ensures the quality and performance of IoT applications and devices by conducting rigorous testing. They develop test cases for hardware, software, and network components, perform security audits.
Skill to Master
Embedded Systems
IoT Communication Protocols
Cloud Computing for IoT
Sensor & Actuator Integration
Networking & Connectivity
IoT Security
Data Analytics & AI in IoT
Edge Computing & Fog Computing
IoT Application Development
Hands-on Experience with IoT Frameworks
IoT Testing & Debugging
Project Management
Tools to Master
Arduino IDE
Raspberry Pi
ESP8266/ESP32
MQTT
Node-RED
Google Firebase for IoT
AWS IoT Core
ThingsBoard
InfluxDB & Grafana
Wireshark
TinkerCAD
OpenHAB / Home Assistant
Learn from certified professionals who are currently working.
Training by
Kavitha , having 15 yrs of experience
Specialized in:Cloud IoT Platforms (AWS IoT, Azure IoT Hub, Google Cloud IoT), Data Analytics, and Machine Learning for IoT.
Note:Strong in data science and machine learning, Kavitha has experience implementing and managing Internet of Things solutions on large cloud platforms. He explains to students how to use cloud services for efficient analytics and IoT administration.
We are proud to have participated in more than 40,000 career transfers globally.
IOT Certification
While real-world experience is not always a strict requirement for obtaining an IoT certification, it greatly enhances your understanding of practical applications. Certifications often focus on theoretical knowledge and structured learning, but hands-on experience helps in solving real-world challenges.
An IoT Training Certification validates your expertise in IoT development, networking, cloud integration, and data analytics, making you a valuable asset in industries like smart homes, healthcare, manufacturing, and automotive technology.
The prerequisites for IoT certification exams depend on the certification provider and difficulty level. Beginner-level certifications usually don’t require prior experience and are open to anyone interested in IoT.
Yes, ACTE’s IoT Training Certification is valuable for individuals looking to enter or advance in the IoT industry. The certification provides hands-on training, real-world project exposure, and industry-relevant skills in IoT development, networking, security, and cloud integration.
Frequently Asked Questions
- Yes, ACTE offers a demo session before enrollment.
- The demo gives an overview of the course structure, trainers, and learning methodology.
- ACTE instructors are industry professionals with 10+ years of experience in IoT development, networking, cloud computing, and AI-powered IoT solutions. They provide hands-on training, real-world project guidance, and insights into industry trends to help learners develop job-ready skills.
- Yes, ACTE provides placement support, including resume building, interview preparation, and job referrals. The training program includes mock interviews, career counseling, and connections with top recruiters in the IoT domain.
- Upon successful completion of the IoT training, students receive an industry-recognized IoT certification from ACTE. This certification validates expertise in IoT architecture, embedded systems, cloud computing, data analytics, and security.
- Yes, ACTE includes hands-on, real-world IoT projects in the training curriculum. Students work on sensor-based automation, smart home solutions, industrial IoT, and AI-integrated IoT applications.