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

Internet of things IoT- in Action (The software stack), available at Free, has an average rating of 3.6, with 15 lectures, based on 277 reviews, and has 14808 subscribers.

You will learn about 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. This course is ideal for individuals who are Any one who is interested in learning the technology stack behind IoT in a short span can take this course It is particularly useful for Any one who is interested in learning the technology stack behind IoT in a short span can take this course.

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Summary

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

Price: Free

Average Rating: 3.6

Number of Lectures: 15

Number of Published Lectures: 15

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 15

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

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.

Who Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction and course overview

Lecture 2: Introduction to Tata-Band

Lecture 3: Uses of Tata-Band in day to day life

Lecture 4: how T-Band saves life

Lecture 5: How T-Band saved the life – how it used IoT and Machine learning

Lecture 6: Another example IoT- Truck streaming – a solution approach

Lecture 7: What data is required to achieve this, how do we get the data

Lecture 8: what is the technology behind this

Lecture 9: Map our requirement to technologies

Lecture 10: Data gathering and enrichment with Nifi

Lecture 11: Messaging layer Kafka

Lecture 12: Storm – creating a topology for IoT

Lecture 13: Druid – Analysis and visualizations for IoT

Lecture 14: Machine learning and analysis with Zeppelin – IoT

Lecture 15: Conclusion

Instructors

Srinivas Tata
Technology enthusiastic

Rating Distribution

1 stars: 11 votes

2 stars: 24 votes

3 stars: 58 votes

4 stars: 111 votes

5 stars: 73 votes

Frequently Asked Questions

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