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

Corporate Training

Customize Your Training

  • Instructor-Led & Self-Paced training
  • Customized Learning Options
  • Industry Expert Trainers
  • Case Study Approach
  • Enterprise Grade Learning
  • 24*7 Cloud Lab


Enquire Now


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.

images not display images not display


Why DataMites Infographic

Syllbus Section Title

  • 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




The Internet of Things (IoT) is the beginning of a new era in technology, where things communicate among themselves to make decisions, providing solutions. The IoT is the network of devices, buildings, utilities, vehicles, and other items, embedded with smart electronics, sensors, and network connectivity, which enables these objects to collect data, process, take decisions with coded logic and exchange data.

The IoT has the potential to transform human lives in terms of consumer habits, personalization and the way we do business. With the pace of the latest innovations in the field of IoT, it is estimated that more than 50 billion devices will be connected via the Internet generating the business potential of over USD 3 trillion by 2020.

This course is designed to enable the candidates to gain core knowledge of IoT, applied IoT concepts, hands-on and industry-relevant case studies. Candidates participating in this course shall be using Raspberry pi kit with sensors to practice IoT, with at least 5 use cases to gain hands-on practical experience. The course also covers the various roles and responsibilities of an IoT Developer and how to switch careers in IoT.


The Internet of Things (IoT) is beginning of new era in technology, where things communicate among themselves to take decisions, providing solutions that could simply NOT possible otherwise. The IoT is the network of devices, buildings, utilities, vehicles and other items, embedded with smart electronics, sensors and network connectivity, which enables these objects to collect data, process, take decisions with coded logic and exchange data.

The IoT has potential to transform human lives in terms of consumer habits, personalization and the way we do business. With the pace of latest innovations in field of IoT, it is estimated that more than 50 billion devices will be connected via the Internet, with business potential of over USD 3 trillion by 2020.

This course is designed to enable the candidates to gain core knowledge of IoT and apply IoT concepts , hands on, to the industry relevant use cases. Candidates participating in this course shall be using Raspberry pi kit with sensors to practice IoT, with at 5 use cases to gain hands on practical experience. Course also covers the various roles and responsibilities of an IoT Developer and how to switch career in IoT.

  • Understanding IoT concepts and application
  • IoT architecture at applicationlevel
  • Configure Raspberry Pi, Sensors and Actuators
  • programing with Python on Raspberry Pi
  • Program Sensors (Sense-HAT board), Face Detection and reorganization using OpenCV-Python
  • Understand various IoT Networking Protocols used to develop communication solutions
  • End-to-End Solution architecture using Raspberry Pi, Sense HAT and Azure
  • IoT challenges and business solutions
  • Research scope, Alexa Voice Bot on Raspberry Pi
  • Basic programming skills is recommended but not mandatory
  • Electronics awareness is recommended but not mandatory

The Internet of Things is the next big thing in technology space after the invention of the Internet as most experts say. IoT has the potential to impact millions of lives throughout the world with the betterment of health care, logistics and very way of living. As per Cisco, over 50 billion devices will be connected through the internet by 2020.

IoT will be an integral part of domains such as Healthcare, Logistics, Education, Information Technology and many other verticals. There will be a huge demand for IoT certified professionals in all areas of business to cater to this huge revolution in technology. Learning IoT will position you to take perfect advantage of being a part of early IoT developers, thereby putting your career in the elite fast track. For the coming few decades, IoT shall remain the most coveted skill in the market.

This course is an intermediate course, professionals with minimum background in programming and a basic understanding of electronics will be ideal. Candidates without knowledge can also opt for this course as the syllabus doesn't assume any prior knowledge

  • Professionals aspiring to become IoT practitioners
  • Professionals involved in connected devices job and wanted to catch up with next evolution
  • Beginners wanted to start their career with IoT

Internet of Things (IoT) is the next big thing in technology. There are millions of opportunities estimated across the globe in next few years. Being a certified IoT practitioner, you will be able to distinguish from competition in pursuing the right career in IoT.

DataMites™ is the global institute for Data Science accredited by International Association of Business Analytics Certifications (IABAC). DataMites provides flexible learning options from Classroom training, Live Online to high quality recorded sessions

The 6 Key reasons to choose Data Mites™


  • Globally reputed certification for IoT
  • Syllabus Aligned with global market standards

Elite Faculty & Mentors

  • Best in industry faculty from IIMs
  • Course structured by Professors in Data Science from top universities
  • Ensures high quality learning experience

Learning Approach

  • Learning through case study approach
  • Theory → Hands On → Case Study → Project → Model Deployment

10+ Industry Projects

  • 10+ Industry related projects
  • Enabling candidates to gain real time skills, also boosting confidence for real challenges

PAT (Placement Assistance Team)

  • Dedicated PAT (Placement assistanceTeam)
  • Resume assist service
  • Mapping candidates to verified jobs by PAT team
  • Supporting in Interview preparation

24x7 Cloud Lab for ONE year

  • High capacity data science cloud lab
  • All Machine Learning python, R scripts and IoT codes on cloud lab for quick reference
  • Enable participants to practice Data Science and IoT models even with their mobile phones through cloud lab

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 4,16,491 per year according to a Glassdoor report.

View more


DataMites™ provide flexible learning options from traditional classroom training, latest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at portal. Also by manually sending an email to

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

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 program 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. 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
  • 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 the IoT training program. Students can choose the mode of learning that suits them best.

The teaching methodology in the IoT training program 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 program. This includes guidance on resume building, interview preparation, and connecting students with relevant job opportunities through their network of industry partners.

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

The cost for IoT training 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.

View more



Global IOT COURSES Countries

popular career ORIENTED COURSES


HELPFUL RESOURCES - DataMites Official Blog