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  • Reasonably priced fees and a curriculum created by industry experts.
  • This week marks the start of the next IOT batch, so register now!

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Curriculum in IOT

Introduction- Concepts And Technologies Behind Internet Of Things (IoT)
  • Concepts & Definitions
  • Myth with IoT
  • Business with IoT
  • Carrier in IoT
  • IoT Applications
  • IoT system overview
  • Node, Gateway, Clouds
  • Why IoT is essential
  • Machine learning
  • Artificial Intelligence
  • IoT Architecture
  • IoT Network Architecture
  • IoT Device Architecture
  • IoT Device Architecture
  • Publish-Subscribe architecture
  • IoT Device Design
  • Sensors – Classification & selection criteria based on the nature, frequency and amplitude of the signal
  • Embedded Development Boards – Arduino, Raspberry Pi, Intel Galileo, ESP8266
  • IoT Communication Protocols
  • Wired Communication Protocols
  • Wireless Communication Protocols
  • Application Protocols – MQTT, CoAP, HTTP, AMQP
  • Transport layer protocols – TCP vs UDP
  • IP- IPv4 vs IPv6
  • Cloud
  • Concept & Architecture of Cloud
  • Public cloud vs Private cloud
  • Different Services in cloud (IAAS / PAAS / SAAS)
  • Importance of Cloud Computing in IoT
  • Leveraging different Cloud platforms.
  • Designing The IoT Product
  • Interfacing peripherals & Programming GPIOs – Input/output peripherals, Sensor modules
  • Design Considerations – Cost, Performance & Power Consumption tradeoffs
  • Programming
  • Embedded C
  • Python
  • Arduino
  • Hands-On Using Raspberry Pi Board
  • Setting up board
  • Booting up Raspberry Pi
  • Running python on Raspberry Pi, GPIO programming
  • Interfacing sensors and LED (Input and output devices)
  • Making a few projects
  • Sending data to cloud 2 using Raspberry Pi board
  • Sending data to cloud 3 using Raspberry Pi board
  • Making raspberry Pi web server
  • Making raspberry PI TCP client and server
  • Making raspberry Pi UDP client and server
  • Use Cases
  • A cloud-based temperature monitoring system using Arduino and Node MCU
  • Esp8266 WIFI controlled Home automation
  • Obstacle detection using IR sensor and Arduino
  • Remote controlling with Node MCU
  • Temperature monitoring using a Raspberry Pi as local server
  • Raspberry Pi controlling Esp8266 using MQTT
  • weather monitoring system using Raspberry Pi and Microsoft Azure cloud
  • Closer
  • Existing Product in Market
  • Barrier in IoT
  • Curriculum in IOT

    IOT Is Preferred by Over 35% of Developers. IOT is the most widely used and in-demand programming language in the IT industry.

    • Concepts & Definitions
    • Myth with IoT
    • Business with IoT
    • Carrier in IoT
    • IoT Applications
    • IoT system overview
    • Node, Gateway, Clouds
    • Why IoT is essential
    • Machine learning
    • Artificial Intelligence
    • IoT Network Architecture
    • IoT Device Architecture
    • IoT Device Architecture
    • Publish-Subscribe architecture
    • Sensors – Classification & selection criteria based on the nature, frequency and amplitude of the signal
    • Embedded Development Boards – Arduino, Raspberry Pi, Intel Galileo, ESP8266
    • Wired Communication Protocols
    • Wireless Communication Protocols
    • Application Protocols – MQTT, CoAP, HTTP, AMQP
    • Transport layer protocols – TCP vs UDP
    • IP- IPv4 vs IPv6
    • Concept & Architecture of Cloud
    • Public cloud vs Private cloud
    • Different Services in cloud (IAAS / PAAS / SAAS)
    • Importance of Cloud Computing in IoT
    • Leveraging different Cloud platforms.
    • Interfacing peripherals & Programming GPIOs – Input/output peripherals, Sensor modules
    • Design Considerations – Cost, Performance & Power Consumption tradeoffs
    • Embedded C
    • Python
    • Arduino
    • Setting up board
    • Booting up Raspberry Pi
    • Running python on Raspberry Pi, GPIO programming
    • Interfacing sensors and LED (Input and output devices)
    • Making a few projects
    • Sending data to cloud 2 using Raspberry Pi board
    • Sending data to cloud 3 using Raspberry Pi board
    • Making raspberry Pi web server
    • Making raspberry PI TCP client and server
    • Making raspberry Pi UDP client and server
    • A cloud-based temperature monitoring system using Arduino and Node MCU
    • Esp8266 WIFI controlled Home automation
    • Obstacle detection using IR sensor and Arduino
    • Remote controlling with Node MCU
    • Temperature monitoring using a Raspberry Pi as local server
    • Raspberry Pi controlling Esp8266 using MQTT
    • weather monitoring system using Raspberry Pi and Microsoft Azure cloud
    • Existing Product in Market
    • Barrier in IoT

    IOT Training Projects

    Develop Your IOT Skills With Useful and Interesting Projects.

     

    Home Security Alarm

    Develop a simple security system using a motion sensor that triggers an alarm or sends an alert when motion is detected.

     

    Doorbell Notification System

    Build a doorbell that sends notifications to your smartphone when pressed, using a Wi-Fi-enabled microcontroller (e.g., ESP8266).

     

    LED Traffic Light

    Construct a miniature traffic light using LEDs and a microcontroller to simulate traffic signals.

     

    Garage Door Opener

    Create a smart garage door opener that can be operated remotely and sends notifications when the door is opened or closed.

     

    Health Monitoring Wearable

    Develop a wearable device equipped with sensors to monitor vital signs such as heart rate, temperature, and activity levels.

     

    Smart Irrigation System

    Upgrade a traditional irrigation system with IoT capabilities to monitor soil moisture, weather forecasts, and automate watering schedules.

     

    Smart Grid Management

    Develop a smart grid management system that optimizes energy distribution, load balancing, and grid stability using IoT sensors and analytics.

     

    Telemedicine System

    Create a telemedicine platform that enables remote patient monitoring, consultation, and diagnostics using IoT devices and cloud-based services.

     

    Smart City Traffic Management

    Design a traffic management system for smart cities that uses IoT sensors, AI algorithms, and real-time data analysis to optimize traffic flow and reduce congestion.

    Key Highlights

    Our Instructor

    Get advice from specialists who have certifications and are currently working.

    IOT Training Overview

    The Internet of Things (IoT) represents a revolutionary network of interconnected sensors, devices, and systems that can interact and share data on their own without human intervention. The fundamental function of IoT is to make it possible for common things to gather, analyze, and transfer data, obfuscating the boundaries between the real and digital worlds. This connectivity makes it easier for automation and smooth communication to occur in a variety of industries, such as smart cities, manufacturing, healthcare, and transportation. Applications for Internet of Things (IoT) technology are many and include anything from industrial automation and environmental monitoring to wearable technology and smart homes. Organizations and people may get fresh insights, increase productivity, boost efficiency, and develop creative solutions to difficult problems by utilizing the potential of IoT.

    Additional Information

    What new IOT frameworks are there?

    • IoT.js is an open-source JavaScript framework optimized for resource-constrained devices in the Internet of Things. It provides a lightweight runtime environment for running JavaScript applications on IoT devices, enabling developers to leverage their existing skills in web development for IoT projects.
    • The Zephyr Project is an open-source real-time operating system (RTOS) designed for resource-constrained IoT devices. It offers a scalable and modular architecture, support for a wide range of hardware platforms, and a growing ecosystem of device drivers and middleware components.
    • TinyML (Tiny Machine Learning) is an emerging field focused on deploying machine learning models on low-power IoT devices with limited resources. Frameworks such as TensorFlow Lite for Microcontrollers and Edge Impulse provide tools and libraries for training and deploying machine learning models on microcontrollers and edge devices.
    • RiotOS is an open-source IoT operating system designed for low-power, memory-constrained devices. It provides a small footprint, real-time capabilities, and support for various communication protocols, making it suitable for a wide range of IoT applications, from smart home devices to industrial sensors.

    Trends and Techniques used in IOT

    The field of IoT is dynamic and constantly evolving, with new trends and techniques emerging to address the evolving needs and challenges of connected systems. Some of the prominent trends and techniques currently shaping IoT development include:

    • Edge computing has gained significant traction in IoT, enabling data processing, analysis, and decision-making to occur closer to the data source, reducing latency and bandwidth usage. This trend is driven by the need for real-time insights and actions in applications such as industrial automation, autonomous vehicles, and healthcare.
    • The rollout of 5G networks promises to revolutionize IoT connectivity by offering higher bandwidth, lower latency, and greater reliability. 5G enables the deployment of bandwidth-intensive IoT applications such as augmented reality (AR), virtual reality (VR), and autonomous vehicles, unlocking new possibilities for innovation.
    • AI and machine learning techniques are increasingly being integrated into IoT systems to enable advanced analytics, predictive maintenance, and autonomous decision-making. ML algorithms analyze IoT data to derive insights, detect patterns, and optimize processes, enhancing efficiency and reliability.
    • The potential of blockchain technology to offer safe, decentralized data storage and transaction verification is making it more and more popular in the Internet of Things development space. Blockchain technology is especially useful in applications like supply chain management, smart contracts, and asset monitoring because it improves the integrity, transparency, and traceability of Internet of Things data.

    IOT Uses

    The Internet of Things (IoT) has diverse applications across various industries, transforming the way we interact with technology and the world around us. Some of the most common and impactful uses of IoT include:

    • IoT enables the creation of smart home systems that automate and optimize various tasks, such as lighting, heating, security, and entertainment. Smart thermostats, smart lighting, smart locks, and voice-controlled assistants are examples of IoT devices used in smart homes.
    • IoT technologies are revolutionizing healthcare delivery by enabling remote patient monitoring, telemedicine, and personalized health management. Wearable devices, medical sensors, and smart health monitors collect and transmit vital health data to healthcare providers, improving patient outcomes and reducing healthcare costs.
    • IoT facilitates the automation and optimization of industrial processes through real-time monitoring, predictive maintenance, and asset tracking. Industrial IoT (IIoT) solutions integrate sensors, actuators, and control systems to enhance efficiency, productivity, and safety in manufacturing, logistics, and energy sectors.
    • IoT plays a crucial role in building smart cities that improve urban infrastructure, transportation, public services, and sustainability. Smart city initiatives leverage IoT technologies such as smart traffic management systems, intelligent street lighting, waste management solutions, and environmental monitoring to enhance quality of life and resource efficiency.

    IOT Programmer’s Potential Career Paths

    IoT programmers possess a unique skill set that opens up various career paths across industries. Some potential career paths for IoT programmers include:

    • IoT developers design, develop, and deploy IoT solutions, including hardware, firmware, and software components. They work on integrating sensors, actuators, and communication protocols, as well as developing IoT applications and platforms.
    • Embedded systems engineers specialize in designing and developing software and firmware for embedded systems, including IoT devices and microcontroller-based systems. They work on low-level programming, device drivers, and real-time operating systems to ensure optimal performance and reliability.
    • IoT solution architects design end-to-end IoT solutions that address specific business requirements and technical challenges. They work on defining system architectures, selecting appropriate hardware and software components, and integrating IoT systems with existing infrastructure.
    • Data scientists and data engineers in the IoT space focus on collecting, processing, and analyzing IoT data to derive actionable insights. They work on developing algorithms, machine learning models, and predictive analytics solutions to extract value from IoT data and drive business outcomes.
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    IOT Training Objectives

  • Completing an IoT certification can enhance your earning potential by validating your expertise and proficiency in IoT technologies.
  • While certification alone may not guarantee a higher salary, it can make you more competitive in the job market and increase your value to employers.
  • Salary increases resulting from IoT certification may vary depending on factors such as your location, level of experience, industry demand for IoT skills, and the specific job role you pursue.
  • Foundational understanding of networking principles, protocols, and architectures.
  • Proficiency in programming languages commonly used in IoT development, such as Python, C, or Java.
  • Familiarity with electronics, sensors, actuators, and other hardware components.
  • Knowledge of IoT platforms, cloud computing, and data analytics.
  • Understanding of security best practices and protocols for IoT systems.
  • Strong problem-solving and analytical skills to troubleshoot issues in IoT deployments.
  • IoT certification is important as it validates your skills and knowledge in IoT technologies, making you more credible to potential employers.
  • It demonstrates your commitment to continuous learning and professional development in the rapidly evolving field of IoT.
  • Certification provides a standardized measure of competency, ensuring that you have the necessary skills to design, develop, deploy, and manage IoT solutions effectively.
  • In industries adopting IoT technologies, certification can be a prerequisite for certain job roles and may enhance career advancement opportunities.
  • IoT Architect
  • IoT Developer
  • IoT Security Specialist
  • IoT Systems Engineer
  • IoT Project Manager
  • IoT Consultant
  • Data Scientist/Analyst specializing in IoT data
  • Industrial IoT (IIoT) Engineer
  • Smart Home/IoT Integration Specialist
  • While obtaining an IoT certification can enhance your employment prospects and potentially lead to salary increases, it's not a guarantee.
  • Salary increases resulting from IoT certification may vary depending on factors such as your location, level of experience, industry demand for IoT skills, and the specific job role you pursue.
  • However, certification can certainly make you more competitive in the job market and increase your bargaining power during salary negotiations.
  • Yes, many IoT certification programs offer online exams that allow candidates to take the test remotely from their own location.
  • Online proctoring services ensure the integrity of the exam process by monitoring candidates via webcam and screen sharing.
  • Candidates typically need a stable internet connection, a computer with a webcam, and a quiet, private environment to take the online certification test.
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    Industry Statistics

    Jobs / Month

    248

    Avg. Salary

    ₹ 12,55,200

    Job Roles

    IoT Technician

    IoT Developer

    IoT Engineer

    IoT Analyst

    IOT Certification

    Certificate
    GET A SAMPLE CERTIFICATE
  • Validation of expertise and proficiency in IoT technologies, enhancing credibility to potential employers.
  • Increased career opportunities and higher earning potential.
  • Access to a network of professionals in the IoT industry.
  • Keeping up-to-date with the latest IoT trends and developments.
  • IoT development
  • IoT security
  • IoT architecture
  • Platform-specific certifications (e.g., AWS IoT, Azure IoT)
  • Industry-specific certifications (e.g., IIoT for industrial applications)
  • Having an IoT certification does not guarantee job placement, but it can significantly enhance job prospects by making candidates more competitive in the job market. Employers often value certifications as evidence of specialized skills and knowledge in IoT.

    Yes, it is permissible to pursue multiple IoT course certifications. Doing so can broaden your knowledge and skill set in different areas of IoT, making you more versatile and competitive in the job market.

  • IoT architect
  • IoT developer
  • IoT security specialist
  • IoT systems engineer
  • IoT project manager
  • IoT consultant
  • Data scientist/analyst specializing in IoT data
  • Industrial IoT (IIoT) engineer
  • Smart home/IoT integration specialist
  • Yes, many IoT certification programs offer the option to complete the certification exam remotely. Online exams allow candidates to take the test from their own location, typically with online proctoring services to ensure exam integrity.

    While real-world experience can be beneficial, it is not always a requirement for obtaining an IoT certification. Certification programs often cover foundational concepts and provide hands-on labs or simulations to gain practical experience. However, having real-world experience can enhance understanding of IoT technologies and make it easier to grasp advanced concepts covered in certification exams.

    Whether the expenditure of time and finances in acquiring an ACTE IoT Certification is justified depends on various factors such as your career goals, industry demand for IoT skills, and the reputation of the certification program. Researching the content, credibility, and recognition of the certification in the industry, as well as evaluating the potential return on investment (ROI) in terms of career advancement opportunities and potential salary increases, can help determine if it is worth it for you.

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    The Preferred Partner for 100+ Organizations' Hiring

    Learn from the certified and real time working professionals.

    • Over 100 firms that are looking for top talent for their open positions have come to rely on ACTE as their go-to partner.

    • Businesses have confidence in our ability to match them with the best individuals because of our considerable expertise and proven track record of success.

    • In this section, we'll examine the primary elements influencing this trust and examine how our constant commitment to excellence regularly results in remarkable results for our clients.

    Corporate Clients

    IOT Course Duration and Fees

    Level Course Duration Fees Structure
    Basic 1 - 1.5 Months ₹7,000 - ₹9,000
    Advanced 1.5 - 2 Months ₹7,000 - ₹10,000

    Job Opportunities in IOT

    IOT is preferred by more than 35% of developers. The most widely used and in-demand programming language in the tech industry is IOT.

    Salary In IOT
    Reach Our Placement Officer

    You can Work as a

    IoT Solutions EngineerIoT Project ManagerIoT System AdministratorIoT Security EngineerIoT Integration EngineerIoT Network EngineerIoT Product Manager

    Upcoming In-Demand Jobs

    IoT Sales EngineerIoT Firmware EngineerIoT Data ScientistIoT Software EngineerIoT Research Scientist

    Student Testimonials

    100% Placement

    7000+ Placed Student

    600+ Hiring Partners

    5.5 LPA Average Salary

    Recently Placed Students

    IOT Training FAQ's

    Boost Your Coding Ability: Essential IOT Training for Novices and Experienced

    IoT (Internet of Things) training involves learning about the network of interconnected devices that communicate and exchange data over the internet. It encompasses understanding sensors, actuators, connectivity protocols, data analytics, security, and application development for IoT systems. IoT training is important because IoT technology is increasingly pervasive across various industries including healthcare, agriculture, manufacturing, and smart cities. Having skills in IoT enables individuals to design, develop, deploy, and manage IoT systems, contributing to innovation and efficiency in these industries.

    While prior programming experience is beneficial, it's not always necessary for IoT training. Many IoT courses cater to beginners and offer introductory programming modules alongside IoT-specific content. However, having a basic understanding of programming concepts (such as variables, loops, conditionals) can expedite the learning process in IoT training.

  • Introduction to IoT concepts and architecture
  • Sensor technologies and types
  • Connectivity protocols (Wi-Fi, Bluetooth, Zigbee, LoRa, etc.)
  • Data collection, transmission, and storage
  • IoT hardware platforms (e.g., Raspberry Pi, Arduino)
  • IoT development frameworks and platforms
  • Security considerations for IoT devices and networks
  • Data analytics and visualization for IoT applications
  • IoT applications and case studies
  • The duration of an IoT training course can vary depending on the depth of coverage and the pace of learning. Short courses may range from a few days to a few weeks, while more comprehensive programs can last several months. On average, an IoT training course might span anywhere from 1 to 6 months.

    Requirements for enrolling in an IoT training course vary depending on the course level and focus. Typically, there are no strict prerequisites, but a basic understanding of computer science concepts and familiarity with technology can be helpful. Some advanced courses may require prior programming experience or knowledge of specific subjects such as electronics or networking.

    Yes, many IoT training programs offer certifications upon completion. These certifications validate the knowledge and skills acquired during the training and can be beneficial for career advancement or demonstrating proficiency to employers. Certifications may come from training institutions, professional organizations, or technology vendors. Examples include Cisco IoT certifications, Microsoft Certified: Azure IoT Developer Specialty, or certifications from IoT-focused training providers.

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    Many online IoT courses do offer certificates upon successful completion. These certificates serve as recognition of your achievement and can be valuable for showcasing your skills to employers or advancing your career. However, the availability of certificates may vary depending on the course provider and the specific course.

  • Limited hands-on experience
  • Technical difficulties
  • Time management
  • Lack of interaction
  • Yes, many online IoT courses provide opportunities for engagement with instructors through discussion forums, live Q&A sessions, or email correspondence. Additionally, some courses offer office hours or dedicated instructor support to address questions and provide guidance to learners.

    Yes, there are specialized online IoT courses tailored to specific career paths such as data science, web development, industrial automation, healthcare, and more. These courses often focus on the intersection of IoT with the chosen career path, providing relevant skills and knowledge necessary for success in that field.

  • Basic understanding of computer science concepts
  • Familiarity with technology and the internet
  • Proficiency in mathematics, particularly algebra
  • Some courses may require prior programming experience, while others cater to beginners
  • Stay organized and create a study schedule to keep yourself on track.
  • Join online communities or forums related to IoT to connect with others and stay motivated.
  • Reward yourself for reaching milestones or completing modules.
  • Keep reminding yourself of the benefits of acquiring IoT skills and how they align with your personal or career goals.
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  • Setting up and configuring IoT devices and sensors
  • Collecting and analyzing data from IoT devices
  • Designing and implementing IoT solutions for specific use cases or scenarios
  • Troubleshooting and debugging IoT systems
  • Integrating IoT systems with existing infrastructure or applications
  • Collaborating on group projects to apply learned concepts in real-world scenarios
  • Employee feedback and satisfaction with the training program
  • Improvement in employee knowledge and skills related to IoT technologies
  • Quantifiable business outcomes resulting from the implementation of IoT solutions, such as cost savings, efficiency gains, or revenue growth
  • Reduction in errors or incidents related to IoT systems
  • Increase in innovation and the development of new IoT-based products or services
  • Comparison of key performance indicators (KPIs) before and after the training to measure improvements
  • Instructor-led sessions and mentorship
  • Online learning materials, documentation, and tutorials
  • Access to IoT hardware, software, and development tools
  • Collaboration platforms or communities for knowledge sharing and peer support
  • Continued access to updated training materials or refresher courses
  • Support from internal subject matter experts or dedicated IoT teams within the organization
  • Yes, IoT corporate training can cater to employees with varying levels of programming experience. Training programs often offer modules or tracks tailored to different skill levels, from beginners to advanced users. Beginners can start with foundational concepts and gradually build up their programming skills, while experienced programmers can delve into more advanced topics or specialize in specific areas of IoT development.

  • Equipping employees with the skills and knowledge needed to implement innovative IoT solutions that improve operational efficiency, customer experiences, and product offerings.
  • Fostering a culture of innovation and continuous learning, which can lead to the development of new IoT-based products or services that differentiate your organization in the market.
  • Enhancing employee productivity and collaboration by streamlining processes and integrating IoT technologies into existing workflows.
  • Anticipating and adapting to market trends and customer demands by staying up-to-date with the latest advancements in IoT technology and applications.
  • The pricing structure for IoT corporate training can vary depending on factors such as the training provider, the level of customization, the number of participants, and the delivery format (e.g., onsite, virtual, self-paced). Some providers offer bulk discounts or customized packages for larger groups of employees. Additionally, consider the long-term benefits and potential cost savings that IoT training can bring to your organization in terms of improved efficiency, productivity, and innovation.

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