IOT Course Features



Live Virtual

Instructor Led Live Online


  • IABAC®  Global Certification
  • 3-Month Course
  • 5 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring


  • Self learning+ Live Mentoring
  • IABAC®  Global Certification
  • 1 Year Access To Elearning
  • 5 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support


In - Person Classroom Training


  • IABAC®  Global Certification
  • 3-Month Course
  • 5 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship + Job Assistance


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The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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Why DataMites Infographic


  • What is IoT, how does it work
  • Difference between Embedded device and IoT device
  • Properties of IoT device
  • IoT Ecosystem
  • IoT Decision Framework
  • IoT Solution Architecture Models
  • How IoT is Transforming Businesses
  • Major IoT Boards in Market
  • Explore Raspberry Pi
  • Setting up Raspberry Pi
  • Showing working of Raspberry Pi using SSH Client and Team Viewer
  • Understand Sensing actions
  • Understand Actuators and MEMS
  • Hands On/Demo:
  • Programming Sense HAT Board
  • Build weather station using Sense HAT and Python
  • Prepare google spreadsheet for weather data collection
  • Understand OpenCV
  • Hands On/Demo:
  • Build a weather station using Sense HAT and store data in google sheets
  • Use OpenCV for face detection, face recognition with webcam
  • Types of wireless communication
  • Major wireless Short-range communication devices, properties, comparison of these devices (Bluetooth, WIFI, ZigBee, 6LoWPAN)
  • Major wireless Long-range communication devices, properties, comparison of these devices (Cellular IoT, LPWAN)
  • Hands On/Demo:
  • Using RFID networking
  • Using other networks such as WiFi and Bluetooth
  • What is Cloud and its Infrastructure
  • How IoT and Cloud deployment can create an effective IoT Solution
  • Azure IoT Hub components
  • Hands On/Demo:
  • Create Free Tier Azure Account. Explore Azure IoT hub services and other useful features
  • Azure IoT Hub Service API Demo
  • Register your Raspberry Pi on Azure IoT Hub
  • Send and Receive messages from Raspberry Pi over Azure IoT Hub
  • Create Storage account and dock a container
  • View Data On-premise with Azure Storage Explorer
  • Configure Web App settings for Data Visualization
  • Hands On/Demo:
  • Create an End-to-End IoT solution using Python Device APIs
  • Plan how to customize a solution to meet specific requirements
  • Create a service bus namespace and add a queue to it
  • Add an endpoint and a routing rule to your IoT hub
  • Create, configure, and test a logic app
  • Data Analytics
  • Edge Computing
  • Azure IoT Edge
  • Azure IoT Edge Components
  • Azure IoT Edge Architecture
  • Real-Time Analytics
  • Hands On/Demo:
  • Deployment of Raspberry Pi as an Edge Device on Azure IoT Edge
  • Business challenge/requirement: As a technology enthusiast, you wish to automate controlling of multiple home appliances using human voice commands. The challenge is that you do not wish to procure a new device to do this. We can overcome this if we use AVS (Amazon Voice Service) from AWS cloud for speech analysis. We will use Raspberry Pi along with few additional hardware accessories as an Amazon Echo device. 
  • Control GPIO pins of Raspberry Pi
  • Amazon Alexa Skill development
  • RESTful web services using Python Flask module



IoT courses in India offer the opportunity to acquire cutting-edge skills in the rapidly growing field of the Internet of Things, empowering individuals to harness the potential of connected devices and drive innovation across industries, thereby enhancing career prospects in the evolving technological landscape. 

According to a Statista report, the global IoT market is poised for substantial revenue growth, projected to soar to an impressive US$1,177.00 billion by 2023. The salary of a IoT Engineer in India ranges from INR 7,294,50 according to a Glassdoor report.

DataMites, a globally recognized training institute, offers an extensive Internet of Things (IoT) Course in India covering diverse topics like AI programming and essential data science packages such as Numpy, Pandas, Sklearn, Scipy, and Matplotlib. This three-month program includes five capstone projects, one client project, and a year of access to e-learning resources. Accredited by prestigious organizations like IABAC, NASSCOM, and FutureSkills, the course also provides internship opportunities and job placement assistance, ensuring students stay abreast of industry trends.

DataMites offers notable features for IoT training in India, encompassing:

  1. Faculty Expertise: Ashok Veda, founder of Rubixe, an AI startup, DataMites' faculty, with over 20,000 collective student mentorships, combines industry experience and active research to enrich students' learning.
  2. Comprehensive Syllabus: DataMites' IoT training covers vital topics like AI programming, data science packages (Numpy, Pandas, Sklearn, Scipy, Matplotlib), ensuring a holistic understanding of IoT concepts and applications.
  3. Flexible Learning Options: Offering classroom IoT courses in India, online, and self-paced learning, DataMites accommodates diverse preferences and schedules. Flexible course durations empower individuals to tailor their learning experience at their own pace.
  4. Hands-on Projects: Real-world projects enable the practical application of theoretical knowledge, giving students valuable experience in designing, building, and deploying IoT solutions. This approach deepens understanding of IoT concepts and technologies.
  5. Certification Opportunities: DataMites provides industry-recognized IoT certifications in India upon completion of IoT training, enhancing resumes and validating acquired skills. These certifications boost career prospects in the dynamic IoT field.
  6. Affordable Pricing: DataMites makes IoT training fees in India accessible with budget-friendly options, starting at INR 36,000 for online, INR 22,000 for blended, and INR 45,000 for classroom training, enabling a wide audience to pursue IoT learning without financial strain.
  7. E-Learning Access: Enrolled students enjoy one-year access to e-learning resources, fostering flexibility in the learning pace and the ability to revisit course materials post-training, ensuring continued support for skill reinforcement.
  8. Internship and Job Placement Focus: Beyond training, DataMites emphasizes industry preparation. The IoT training in India includes internship opportunities, enabling students to gain practical experience, enhancing skills, and increasing employability.

Datamites provides offline data analytics courses across multiple cities, including Bangalore, Kolkata, Ahmedabad, Pune, Vijayawada, Mumbai, Delhi, Chennai, Nagpur, Bhubaneswar, Kochi, and Hyderabad.

The scope of IoT in India is immense, with widespread applications across industries such as healthcare, agriculture, manufacturing, and smart cities. As India increasingly adopts digital technologies, IoT plays a pivotal role in optimizing processes, enhancing efficiency, and fostering innovation, making it a key driver for economic growth and technological advancement in the country. For more details, Enrich your knowledge in the domain by enrolling with DataMites for a more profound learning experience.


IoT stands for Internet of Things. It refers to the network of physical devices, vehicles, appliances, and other objects embedded with sensors, software, and connectivity that enables them to connect and exchange data over the internet.

IoT connects devices through the use of wireless technologies such as Wi-Fi, Bluetooth, and cellular networks. These devices are equipped with sensors and actuators to collect data and perform actions, which are then transmitted and shared over the internet, enabling communication and interaction between the devices.

Some common examples of IoT devices used in everyday life include smart thermostats, wearable fitness trackers, home security systems, smart speakers, connected appliances (e.g., refrigerators, washing machines), and even smart lighting systems.

Data collection and analysis are vital in IoT applications because they enable organizations to gain valuable insights from the vast amount of data generated by IoT devices. This data helps in making informed decisions, improving operational efficiency, identifying patterns and trends, and enabling predictive maintenance, among other things.

Some key security challenges and considerations when implementing IoT solutions include device authentication and identity management, data encryption, secure communication protocols, regular software updates and patches, and monitoring for potential vulnerabilities. Privacy concerns and protection of personal data are also significant factors to consider.

In healthcare, IoT enables remote patient monitoring, smart medical devices, and improved access to healthcare data. In agriculture, IoT helps in precision farming, soil and crop monitoring, and efficient resource utilization. In transportation, IoT contributes to smart traffic management, connected vehicles, and fleet tracking, leading to enhanced safety and efficiency.

The main components of an IoT ecosystem include devices or "things" (sensors, actuators), connectivity (networks, protocols), data processing and storage (cloud platforms, edge computing), applications and analytics, and user interfaces (web portals, mobile apps).

IoT enables the concept of a smart home by connecting various devices within the household, allowing users to control and automate them remotely. For example, users can adjust the thermostat, turn on lights, monitor security cameras, or control home appliances through a smartphone app or voice commands.

Some commonly used protocols for IoT communication include MQTT (Message Queuing Telemetry Transport), CoAP (Constrained Application Protocol), HTTP (Hypertext Transfer Protocol), and Zigbee, among others. These protocols facilitate efficient and secure data transfer between devices and IoT platforms.

The salary of a IoT Engineer in India ranges from INR 7,294,50 according to a Glassdoor report.

  • Develop a Strategy.
  • Ideate and Prototype.
  • Connect, Adapt and Integrate Systems.
  • Analyze Data.
  • Operate.

The C language, often regarded as the foundation of every programming language, remains a crucial programming language for IoT development. According to the 2018 Eclipse Foundation survey, C is the preferred language for developers, boasting a 56.9 per cent overall popularity, second only to Java.

In industrial automation, IoT enables the remote monitoring and control of machinery and processes. This implies that operators can supervise operations from any location globally, utilizing internet-connected devices. This enhances flexibility and enables prompt responses to any issues that may arise.

The primary objective of the Internet of Things (IoT) is to establish connectivity between various devices and objects, enabling them to gather and exchange information while facilitating remote monitoring and control.

Expected Growth of IoT, As per Statista, the projected global market size for IoT in the future is anticipated to reach 1.6 trillion US dollars by 2025, a significant increase from 212 billion in 2019. The surge in IoT is propelled by the rising embrace of smart devices, including watches, refrigerators, home appliances, and sensors across various industries.

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The duration of the course is three months, during which students engage in five capstone projects and one client project.

The prerequisites for enrolling in DataMites' IoT training program include basic knowledge of programming concepts and familiarity with any programming language. Prior experience or understanding of electronics and networking can be advantageous but not mandatory.

The course encompasses a wide range of topics, including AI programming, data science packages such as Numpy, Pandas, Sklearn, Scipy, and Matplotlib.

Yes, hands-on projects are an integral part of the IoT training in India at DataMites. Students will have the opportunity to work on practical assignments and build IoT applications using different hardware components and software tools.

Yes, DataMites provides certification upon successful completion of the IoT training course in India. The certificate is widely recognized and can add value to your professional profile.

The mode of Payment are- 

  • Net Banking
  • Check
  • Cash
  • Debit Card
  • Credit Card
  • PayPal
  • Visa
  • Master card
  • American Express

DataMites supports students during and after the IoT training program through various means, including:

  • Live interactive sessions with trainers for doubt clarification
  • Access to recorded sessions and learning materials
  • Practical assignments and projects for hands-on experience
  • A dedicated support team to address queries and concerns
  • Post-training assistance in resume building and interview preparation

DataMites offers both online and in-person options for IoT training in India. Students can choose the mode of learning that suits them best.

The teaching methodology in the IoT training in India at DataMites involves a combination of theoretical lectures, practical demonstrations, hands-on exercises, and interactive discussions. Trainers focus on providing a comprehensive understanding of IoT concepts while emphasizing practical application.

Yes, DataMites offers job placement assistance for students completing the IoT training in India. This includes guidance on resume building, interview preparation, and connecting students with relevant job opportunities through their network of industry partners.

DataMites' IoT training in India stands out from other training providers due to several reasons, including:

  • Industry-relevant curriculum designed by experts
  • Hands-on project experience
  • Experienced trainers with industry knowledge
  • Job placement assistance
  • Flexible learning options (online and in-person)
  • Post-training support and resources

The IoT training in India at DataMites is designed to cater to a wide range of industries and sectors. The curriculum covers fundamental IoT concepts applicable to domains such as manufacturing, healthcare, transportation, energy, agriculture, and smart cities.

Some examples of real-world applications covered in the IoT training course may include:

  • Smart home automation systems
  • Industrial monitoring and control systems
  • Healthcare wearables and remote patient monitoring
  • Environmental monitoring and conservation solutions
  • Smart agriculture and precision farming

Yes, the IoT training in India at DataMites covers both hardware and software aspects of IoT. Students will gain knowledge of various IoT hardware platforms, sensors, and communication protocols, as well as programming languages, cloud platforms, and data analytics tools relevant to IoT applications.

The cost for IoT training in India at DataMites begins at INR 36,000 for the online course, INR 22,000 for the blended learning option, and INR 45,000 for classroom training, respectively.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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