IOT Training In Hyderabad 100% Job Guarantee

  • Classes for Beginners and Experts.
  • Best MNC Interview Questions Answered.
  • IOT Programming via Interactive Education.
  • Study materials and the student portal are accessible for life.
  • 350+ recruiting prospects and over 12402 students trained.
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Explore the factors that draw more than 25,000 students to ACTE.

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.

     

    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.

     

    Smart Light Switch

    Retrofit a traditional light switch with a Wi-Fi-enabled switch that can be controlled remotely via a smartphone app.

     

    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.

     

    Energy Monitoring System

    Design a system to monitor energy usage in a home or building, providing real-time data and insights to optimize energy consumption.

     

    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.

     

    Precision Agriculture

    Implement precision agriculture techniques using IoT sensors, drones, and AI to monitor crop health, optimize irrigation, and increase yield.

    Best Industry Tools Covered

    Key Highlights

    Practical Training

    Global Certifications

    Flexible Timing

    Trainer Support

    Study Material

    Placement Support

    Mock Interviews

    Resume Building

    Our Instructor

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

    Instructor
    Maya

    Experience : 3 Years

    Maya's expertise in cloud computing and IoT architecture equips students with the skills needed to deploy scalable and resilient IoT systems on cloud platforms.

    Specialized in : Cloud Computing, IoT Platforms, Edge Computing, Big Data Analytics, IoT Architecture.

    Instructor
    Sanjay

    Experience : 4 Years

    Sanjay's hands-on experience in IoT prototyping and device management provides students with practical insights into building and managing IoT hardware components.

    Specialized in : Arduino Programming, Raspberry Pi Integration, IoT Prototyping, Sensor Data Fusion, IoT Device Management.

    Instructor
    Divya

    Experience : 4 Years

    Divya's expertise in IoT data analytics and visualization enables students to extract valuable insights from IoT-generated data, essential for optimizing processes in various industries.

    Specialized on :IoT Data Analytics, Predictive Maintenance, Industrial IoT (IIoT), Time Series Analysis, IoT Data Visualization.

    IOT Training Overview

    The Internet of Things (IoT) represents a revolutionary concept wherein everyday objects are connected to the internet, enabling them to collect, transmit, and exchange data. This interconnected network of devices spans various domains, from smart homes and wearable gadgets to industrial machinery and smart cities. IoT has the potential to transform industries by enabling automation, improving efficiency, enhancing decision-making, and creating new business models. Key components of IoT include sensors, actuators, connectivity technologies, data analytics, and cloud computing. By harnessing the power of IoT, organizations can unlock valuable insights from the vast amounts of data generated by connected devices, leading to smarter processes, better services, and enhanced experiences for individuals and businesses alike. However, with the proliferation of IoT devices comes challenges related to data privacy, security, interoperability, and scalability, which require careful consideration and robust solutions.

    Additional Information

    The Most Recent IOT Tools

    • Amazon Web Services (AWS) IoT Core provides a managed cloud platform for connecting IoT devices securely to the cloud. It offers features such as device management, message brokering, and data processing, along with integration with other AWS services for analytics, storage, and machine learning.
    • Google Cloud IoT Core is a fully managed service that allows users to securely connect, manage, and ingest data from IoT devices at scale. It integrates seamlessly with Google Cloud's data analytics, machine learning, and storage services for real-time insights and actionable intelligence.
    • Azure IoT Hub is a cloud-hosted service provided by Microsoft Azure for bi-directional communication between IoT devices and cloud applications. It offers features such as device provisioning, monitoring, and security, as well as integration with Azure's suite of services for data processing, storage, and analytics.
    • IBM Watson IoT Platform is an enterprise-grade IoT platform that enables organizations to securely connect and manage IoT devices, collect and analyze data, and derive actionable insights. It leverages IBM's AI and machine learning capabilities to enable predictive maintenance, asset optimization, and operational efficiency.

    What goals are achieved in a IOT Course?

    In an Internet of Things (IoT) course, various goals can be achieved depending on the specific focus and depth of the course. Here are some common goals typically achieved in an IoT course:

    • Students will gain a solid understanding of the fundamental concepts of IoT, including its definition, components, architecture, and applications.
    • Students will learn to work with hardware components such as sensors, actuators, microcontrollers, and development boards commonly used in IoT systems.
    • Students will develop programming skills necessary for IoT applications, including languages such as C, C++, Python, JavaScript, or other languages commonly used in IoT development.
    • Students will learn about various communication protocols used in IoT ecosystems, such as MQTT, CoAP, HTTP, Bluetooth, Zigbee, LoRa, and others.

    Future works for IOT

    The future of IoT (Internet of Things) holds a vast array of possibilities and potential applications across various industries. Here are some potential future works and advancements in IoT:

    • As IoT devices continue to proliferate, there will be a greater need to process data closer to the source, reducing latency and bandwidth usage. Edge computing, where data processing is done locally on the device or at the edge of the network, will become more prevalent.
    • IoT devices will increasingly leverage AI and machine learning algorithms for tasks such as predictive maintenance, anomaly detection, and intelligent automation. This will enable devices to become smarter and more autonomous in their decision-making processes.
    • In addition to enabling more bandwidth-intensive applications like augmented reality (AR), virtual reality (VR), and real-time video analytics, the introduction of 5G networks will offer quicker data transfer speeds, reduced latency, and higher capacity.
    • Blockchain technology can enhance the security and privacy of IoT devices by providing immutable records of transactions and data exchanges, as well as decentralized consensus mechanisms. This can help mitigate security risks such as data tampering, unauthorized access, and single points of failure.

    Trends and Techniques used in IOT

    Several trends and techniques are shaping the landscape of IoT (Internet of Things) development and deployment. Here are some prominent ones:

    • Edge computing involves processing data closer to the source, at the edge of the network, rather than relying solely on centralized cloud servers. This trend is driven by the need for real-time data processing, reduced latency, and bandwidth optimization in IoT systems.
    • AI (Artificial Intelligence) and machine learning techniques are increasingly being integrated into IoT systems to enable advanced analytics, predictive maintenance, anomaly detection, and intelligent automation. These techniques empower IoT devices to learn from data patterns and make autonomous decisions.
    • The rollout of 5G networks offers faster data transfer speeds, lower latency, and greater network capacity, which is crucial for supporting bandwidth-intensive IoT applications and enabling widespread adoption of IoT devices in various industries.
    • Blockchain technology is being explored for enhancing the security and privacy of IoT devices and data exchanges. By providing decentralized and immutable records of transactions, blockchain can mitigate security risks such as data tampering, unauthorized access, and single points of failure.
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    IOT Training Objectives

  • IoT Architect
  • IoT Developer
  • IoT Security Specialist
  • IoT Systems Engineer
  • IoT Project Manager
  • IoT Consultant
  • 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.
  • A foundational understanding of networking, programming, and electronics.
  • Education or work experience in related fields such as computer science, engineering, or information technology.
  • Familiarity with IoT platforms, protocols, security concepts, and data analytics.
  • Networking
  • Programming
  • Hardware knowledge
  • Security
  • Data Analytics
  • Problem-solving
  • CompTIA IoT+
  • Cisco Certified Network Associate (CCNA) IoT
  • Microsoft Certified: Azure IoT Developer Specialty
  • AWS Certified IoT Specialty
  • Certified IoT Professional (IoTP) by IoT Incorporated
  • Enhances credibility and marketability to potential employers.
  • Increases opportunities for career advancement and higher earning potential.
  • Validates expertise and proficiency in IoT technologies, platforms, and concepts.
  • Provides access to a network of professionals and opportunities for collaboration within the IoT industry.
  • Keeps you updated with the latest trends and developments in the rapidly evolving field of IoT.
  • Demonstrates commitment to continuous learning and professional development, which is highly valued in the technology sector.
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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, platforms, and concepts.
  • Enhanced credibility and marketability to potential employers.
  • Demonstration of commitment to continuous learning and professional development.
  • Access to a network of professionals in the IoT industry.
  • Stay updated with the latest trends and developments in the IoT field.

    • Yes, there are several IoT certifications available from various organizations and institutions. These certifications may cover different aspects of IoT, such as development, security, networking, and architecture.

    Employment is not guaranteed solely based on having an IoT certification. While certification can enhance your job prospects and make you more competitive in the job market, other factors such as education, skills, experience, and fit for the role also play a significant role in securing employment.

    Yes, you can pursue multiple IoT course certifications to broaden your knowledge and skill set in different areas of IoT. Pursuing multiple certifications can provide a comprehensive understanding of various IoT technologies, applications, and platforms.

    Employment opportunities with an IoT certification may include roles such as 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, and smart home/IoT integration specialist, among others.

    Many IoT certification programs offer online versions of the certification exams. These online exams allow candidates to take the test remotely 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 earning 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 earning an ACTE IoT Certification is worth the time and money depends on various factors such as your career goals, industry demand for IoT skills, and the reputation of the certification program. Consider 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.

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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

    Davis Fresher

    IoT Analyst | Hyderabad

     Got 7 LPA Package

    More Details : Acte Training Institute exceeded my expectations in preparing me for a career in IoT analytics. The practical training and exposure to cutting-edge technologies equipped me with the necessary skills to thrive as an IoT Analyst. The faculty was highly knowledgeable and provided valuable insights into the industry trends. Acte truly helped me transition seamlessly from a fresher to a competent IoT Analyst.

    Alex Fresher

    IoT Specialist | Chennai

     Got 10 LPA Package

    More Details :Acte Training Institute provided me with the perfect blend of theoretical knowledge and practical skills required to become an IoT Specialist. The interactive sessions and hands-on projects allowed me to delve deep into IoT technologies. The trainers were supportive and encouraging, fostering a conducive learning environment. Thanks to Acte, I successfully transitioned from a fresher to an accomplished IoT Specialist.

    Jessica Fresher

    IoT Consultant | Bengalure

     Got 8 LPA Package

    More Details : The comprehensive curriculum and industry-oriented approach helped me develop a holistic understanding of IoT concepts. The mentors were instrumental in honing my skills and providing valuable industry insights. With Acte's support, I successfully transitioned into the role of an IoT Consultant.

    100% Placement

    7000+ Placed Student

    600+ Hiring Partners

    5.5 LPA Average Salary

    Recently Placed Students

    Akshara
    Sree Lakshmi
    John
    Vishali

    IOT Training FAQ's

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

    IoT stands for the Internet of Things. It refers to a network of interconnected devices, objects, and systems that communicate and exchange data with each other over the internet. These devices, often embedded with sensors, actuators, and connectivity features, can collect and transmit data, interact with the environment, and be remotely monitored and controlled.

  • Enhanced decision-making capabilities based on real-time data and insights.
  • Greater convenience and comfort through smart home devices and wearable technology.
  • Cost savings and resource conservation through predictive maintenance and energy management.
  • Enablement of new business models and revenue streams through innovative products and services.
  • Interconnectivity
  • Data Collection
  • Data Processing
  • Actionable Insights
  • Security and Privacy
  • Knowledge of Programming
  • Understanding of Networking
  • Data Analytics
  • Hardware Knowledge
  • Security Awareness
  • Domain Expertise
  • IoT Platforms
  • Prototyping Tools
  • Data Analytics Tools
  • Communication Protocols
  • Device Management Platforms
  • Planning and Strategy
  • Design and Development
  • Deployment
  • Data Collection and Processing
  • Integration and Connectivity
  • Monitoring and Management
  • Optimization and Scaling
  • End-of-Life
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    Online IoT training refers to educational programs or courses that are delivered over the internet, allowing individuals to learn about IoT (Internet of Things) technologies, concepts, and applications remotely. These training programs typically include instructional materials, video lectures, interactive exercises, and assessments accessible through online platforms.

    Online IoT training offers flexibility and convenience, allowing learners to access course materials and participate in training sessions from anywhere with an internet connection. It eliminates the need for physical attendance, making it suitable for individuals with busy schedules or those unable to attend traditional in-person classes.

  • Flexibility
  • Accessibility
  • Self-paced learning
  • Diverse resources
  • Cost-effectiveness
  • Consider your learning goals
  • Review the curriculum
  • Check instructor credentials
  • Read reviews and testimonials
  • Assess delivery format

    • Yes, online IoT training can be effective for beginners, especially if the course is designed to accommodate learners with diverse backgrounds and levels of experience. Many online IoT courses start with foundational concepts and gradually progress to more advanced topics, making them accessible to beginners.

  • Set clear goals
  • Stay organized
  • Engage actively
  • Seek support
  • Practice regularly
  • Stay motivated
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  • Setting up and configuring IoT devices and sensors.
  • Developing and deploying IoT applications or projects.
  • Collecting and analyzing real-world IoT data.
  • Troubleshooting and debugging IoT systems.
  • Integrating IoT solutions with existing infrastructure or platforms.
  • Collaborating on team-based projects to simulate real-world scenarios.
  • Measure learning outcomes
  • Collect feedback
  • Track performance metrics
  • Calculate ROI
  • Employees may have access to instructional materials, online resources, live support from trainers or mentors, and opportunities for hands-on practice.
  • Ongoing support may include access to reference materials, online communities or forums for knowledge sharing, mentorship programs, and refresher courses to reinforce learning and address evolving needs.

    • Yes, IoT corporate training programs can be tailored to accommodate employees with varying levels of programming experience, from beginners to advanced practitioners. Introductory courses may cover basic programming concepts and provide hands-on exercises to build foundational skills, while more advanced courses may delve into specialized topics and advanced techniques suitable for experienced programmers.

    Pricing for IoT corporate training can vary depending on factors such as the training provider, delivery format, customization requirements, and number of participants. Some providers offer volume discounts or customized pricing packages for larger groups of employees, which can result in cost savings for organizations.

  • Enhanced skill sets
  • Improved efficiency and productivity
  • Innovation and differentiation
  • Agility and adaptability
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