Internet of Things (IoT) Training

The Future belongs to Internet of Things


The Internet of Things, commonly referred to as IoT, is the network of physical objects, devices, vehicles, buildings, and other items that's been integrated into the technology of modern electronics, software, sensors, and other "things" with network connectivity that enables them to collect and exchange data. Once collected, this data becomes a powerful resource, which companies and technologies are tapping into, in revolutionary ways.

Advanced Internet of Things (IoT) Certification

The Internet of Things is powering a new era of science and technology and is transforming our lives in powerful ways, including our habits, behaviors, and even the way we do business. The world is changing at an incredible pace, with the number of IoT devices increasing by 31% year-over-year, totaling 8.4 billion in 2017. By 2022, it's estimated that there will be 30 billion IoT devices, and a global market of $7.1 trillion.

Without a doubt, IoT is poised to play a central and defining role in the future of the world. Because of this, it's more important than ever for IT experts to meet the demands of early adopters of this technology, and fill this ever-expanding skills gap. This is where Cognixia's exclusive IoT course comes into play.

Why is Advanced IoT in demand?

IoT is fast becoming an indispensable part of our lives – often without us realizing it. Its applications extend to all areas of computing and internet connectivity, from the most commonly used devices (such as desktops, laptops, smartphones and tablets) to the most complex devices. Homeowners can benefit from "Smart Homes", while people with disabilities can use assistive technology such as voice control features to provide comfort and safety. The potential extends to almost any industry and facet of life, The data captured on these devices through sensors reveals interesting patterns that have immense value in business and marketing.

As businesses realize the huge value of the insights drawn from the IoT-device data, enormous opportunities for IoT specialists arise. The technology promises to enhance data resources, improve efficiencies, and increase productivity for organizations globally. If there's ever been a fantastic time to leap into this path-breaking technology, it's now.

Curriculum Overview
The course introduces advanced concepts and methodologies to design, build, and deploy IoT solutions, and discusses various technologies and protocols used for communication – including next-generation, IoT-friendly applications and physical-layer protocols. Participants will gain a thorough understanding of widely accepted IoT frameworks and standards.

The course covers popular, service-rich cloud platforms and focuses on how to build and deploy IoT solutions. Practical use cases and case studies are included to ensure that the participant develops an ability to work through real-life scenarios.

How can a certificate from Cognixia add value to my resume?

Cognixia's Internet of Things (IoT) certification is recognized and respected worldwide. Its training programs have been recognized internationally for their quality and merit. Cognixia's Internet of Things (IoT) training programs have been the go-to knowledge and training source.

Prerequisites for the Course
The course is designed for professionals with at least a basic level of understanding of electronic circuit design, microcontrollers and programming languages, as well as knowledge of computer fundamentals.

Learning Outcomes

  • Gain expert-level knowledge of IoT technology and tools
  • Build a sound understanding of core concepts, background technologies, and the different features of the IoT landscape
  • Learn about sensors, microcontrollers and communication interfaces to design and build IoT devices
  • Obtain knowledge and skills to design and build a network based on the client server, as well as how to publish/subscribe to connect, collect data, monitor and manage assets
  • Learn how to write device, gateway and server-side scripts and apps, enabling them to aggregate and analyze sensor data
  • Learn how to select application-layer protocols and web services architectures for a seamless integration of various components within an IoT ecosystem
  • Review standard development initiatives and reference architectures
  • Explore how to deploy various types of analytics on machine data to define context, find faults, ensure quality, and extract valuable actionable insights
  • Understand cloud infrastructure, services, APIs and architectures of commercial and industrial cloud platforms
  • Build an understanding of prevalent computing architectures, including distributed, centralized, and edge/fog computing


Introduction to Internet of Things

  • Concept and definitions
    • Embedded Systems, Computer Networks, M2M (Machine to Machine Communication), Internet of Everything (IoE), Machine Learning, Distributed Computing, Artificial Intelligence, Industrial Automation
    • Interoperability, Identification, localization, Communication, Software Defined Assets
  • Understanding IT and OT Convergence: Evolution of IIoT & Industry 4.0
  • IoT Adoption
    • Market statistics, Early adopters, Roadmap
  • Business opportunities: Product + Service model
    • Development, deployment and monetization of applications as service
  • Use cases

Concept of Data, Information, Knowledge and Wisdom

  • Knowledge discovery process
  • DIKW pyramid and relevance to IoT
  • Microcontrollers: cost, performance and power consumption
    • Commercial microcontroller-based development boards
    • Selection criteria and tradeoffs
  • Industrial networks, M2M networks

Sensor Data Mining and Analytics

  • Transducer: Sensor and Actuator
    • Sensors – Types of sensors, sampling, analog to digital conversion, selection criteria of sensor and ADC
  • Data acquisition, storage and analytics
  • Signals and systems
    • Signal processing, systems classification, sampling theorem
    • Ensuring quality and consistency of data
  • Real-time analytics
    • Understanding fundamental nuances of IoT and Big data
    • Usage of IoT data in various business domains to gain operational efficiency
  • Edge analytics
  • Data aggregation on edge gateway

Wireless Sensor Area Networks (WSAN): Evolution of M2M and IoT Networks and Technologies

  • Sensor nodes
    • Sensor node architecture
  • WSN/M2M communication technologies
    • Bluetooth, Zigbee and WiFi communication technologies
    • Cellular communication and LPWAN (LoRa and LoRaWAN) technologies
  • Topologies
  • Applications

Design and Development of IoT Systems

  • IoT reference architectures
    • Standardization initiatives
    • Interoperability issues
  • IoT design considerations
    • Architectures Device, Network and Cloud
    • Centralized vs distributed architectures
  • Networks, communication technologies and protocols
  • Smart asset management: Connectivity, Visibility, Analytics, Alerts

Cloud Computing and Platforms

  • Public, Private and Hybrid cloud platforms and deployment strategy
  • Industrial Gateways
    • Commercial Gateways solutions from various vendors
    • Cloud-based Gateway solutions
  • IaaS, SaaS, PaaS models
  • Cloud components and services
    • Device Management
    • Databases, Visualization
    • Reporting
    • Notification/Alarm management
    • Security management
    • Cloud resource monitoring and management
  • Example platforms: ThingSpeak, Pubnub, AWS IoT
    • AWS IoT Services
      • Device Registry
      • Authentication and Authorization
      • Device Gateway
      • Rules Engine
      • Device Shadow

IoT Security

  • Standards and best practices
    • Common vulnerabilities
    • Attack surfaces
    • Hardware and Software solutions
    • Open-source initiatives


  • Descriptive, Diagnostic, Predictive, and Prescriptive
  • Analytics using Python advance packages: NumPy, SciPy, Matplotlib, Pandas and Sci-kit learn
  • Cold Chain monitoring
  • Asset tracking using RFID and GPRS/GPS

Hands-on/Practical Exercises

  • Programming microcontrollers (Arduino, NodeMCU)
  • Building HTTP and MQTT based M2M networks
  • Interfacing Analog and Digital sensors with microcontrollers for real-time data acquisition, as well as storage and analysis on IoT endpoints and edges
  • Developing microcontroller-based applications to understand event-based, real-time processing and in-memory computations
  • Setting up Raspberry Pi as gateway to aggregate data from thin clients
  • Python programming on Raspberry Pi to analyze collected data
  • GPIO programming using Python and remote monitoring /control
  • Pushing collected data to cloud platforms
  • Uploading data on local gateway as cache
  • Uploading data on cloud platforms
  • Monitoring and controlling devices using android user apps and Bluetooth interfaces
  • Building wireless sensor networks using WiFi
  • Remote controlling machines using cloud based apps
  • Remote controlling machines using device based apps through cloud as an intermediate node
  • Interfacing Raspberry Pi with AWS IoT Gateway service to exchange messages
  • Data cleaning, subsetting and visualization
  • Set of Python exercises to demonstrate descriptive and predictive analytics

Hardware Kit

  • Development Boards
    • Raspberry Pi 3
    • Arduino Mega (ATMega2560) with USB cable
    • ESP8266 NodeMcu
  • Electronic Components
    • Sensors – Analog temperature sensor (LM35)
    • IR Proximity Sensor
    • Switches – Push Button (10)
    • Breadboard
    • LEDs (10)
    • Resistors (10)
    • Connecting leads (25)
    • Memory Card (16 GB)
    • HDMI – VGA Converter
    • 1A Power Adapter
  • Communication Modules
    • WiFi – ESP01
    • Bluetooth – HC05

Course Features


48 hours of live online training, including live POC and assignments


Interactive online sessions are held live with an industry-expert instructor


Our expert technical team is available around the clock to answer any questions you may have


You'll get Lifetime Learning Management System (LMS) access, accessible anytime, anywhere


We guarantee the best price for every course that aligns with the quality of our course deliverables


After you successfully complete the training program, you will be evaluated on parameters such as attendance in the sessions, objective examination scores, and other factors. Based on your overall performance with these parameters, you'll be certified by Cognatrix.



Internet of Things has a huge scope of growth for IT professionals, electrical and electronics engineers, designers and solution architects. It is a blessing for existing and budding entrepreneurs who are interested in building smart solutions for their customers. Professionals working in sectors such as pharmaceuticals, real estate, sales, finance, designing, manufacturing, electrical equipment, retail, healthcare, etc. can also benefit from learning about IoT solutions. Fresh graduates and newcomers can also start their career on the right foot with an Internet of Things certification.


As part of this course, each participant is provided with a special IoT kit. The kit includes all the necessary parts and components to learn and perform practical exercises taught during as part of the course. This kit is shipped to the address you provide, and will reach you before the course starts.

The kit contains: Raspberry Pi 3, Arduino Mega (ATMega2560), a Memory Card (16 GB), HDMI – VGA Converter, 1A Power Adapter, Sensors – Analog temperature sensor (LM35), IR Proximity Sensor, Switches – Push Button (10), Breadboard, LEDs (10), Resistors (10), Connecting leads (25), WiFi – ESP8266 ESP01/ESP12E (breakout Board), and a Bluetooth – HC05.


You'll have lifetime access to our Learning Management System (LMS), including class recordings, presentations, sample code, and projects. You'll also be able to view recordings of each session. We also have our technical support team ready to assist you with any questions you may have.