Internet of things IoT- in Action (The software stack)

Quickly learn the complete technology stack for implementing IoT applications.
This unique course gives end-to-end understanding of the technology stack behind implementing IoT solutions. In the beginning of the course we see two very good real-time examples of IoT. We will walk you through step-by-step thinking process for implementing IoT solutions. We will introduce the technologies Nifi, Kafka, Storm, Spark, Hbase, Hadoop, Druid, Machine learning. We will learn how to use these technologies in building the IoT solution. We will take you to the AWS cluster to show the real time understanding of how these technologies work together. We will introduce machine learning and demonstrate the role of machine learning in building Internet of Things applications.


  • No prior knowledge is expected. we will introduce all technologies Nifi, Kafka, Storm, Spark, Druid and will show their role in building IoT solutions


This course is to quickly learn all the technologies required to implement IoT solutions. The technologies to gather data, build messaging layer, quickly process real-time events, Analysis of data at rest, visualizations, machine learning and more.

You will see good example scenarios where IoT is used at its best. A scenario explained end-to-end with all participating technology stack.

You will get clear understanding of each technology component and you will be able to decide which technology to be used for which requirement.

Who this course is for:

  • Any one who is interested in learning the technology stack behind IoT in a short span can take this course

Course content

1 section15 lectures1h 2m total length
  • Introduction and course overview
  • Introduction to Tata-Band
  • Uses of Tata-Band in day to day life
  • how T-Band saves life
  • How T-Band saved the life - how it used IoT and Machine learning
  • Another example IoT- Truck streaming - a solution approach
  • What data is required to achieve this, how do we get the data
  • what is the technology behind this
  • Map our requirement to technologies
  • Data gathering and enrichment with Nifi
  • Messaging layer Kafka
  • Storm - creating a topology for IoT
  • Druid - Analysis and visualizations for IoT
  • Machine learning and analysis with Zeppelin - IoT
  • Conclusion


Technology enthusiastic
Srinivas Tata
  • 3.9 Instructor Rating
  • 226 Reviews
  • 11,971 Students
  • 1 Course

I am a techie with a lot of interest in learning and implementing new technologies. I have more than 13 years of experience in implementing solutions. I have implemented several best practices in Database designing, performance tuning, IoT implementation, Splunk implementations and Hyperledger fabric implementations. I have a good experience in delivering sessions on all trending technology topics.  Using the correct examples pushing the right information in to student's mind is my specialty...

I usually take the right examples and will demonstrate the example with full code and complete presentation. You contact me on the specified email id for more details about this content.