Is IoT the job for you?

IoT is an extensive field where anyone from electronics, computer science or mechanical domain can find an opportunity. As this industry grows, more software engineers, more data scientists; and more product managers will be required. The right time to be IoT-ready is now.

Full Stack IoT Expert Certification Courses

The Full Stack IoT Expert Certification’ consists of 7 courses.

01

IoT for Beginners

Step into the fantastic world of the future with this introductory course on the Internet of Things. Understand the key terminologies, explore its history, and watch stories of how IoT inventors are creating a brave new world with their path-breaking devices.

02

IoT from the Ground Up – Using Arduino

This course deals with basic electronics, microcontroller architectures, sensors, human-machine interfaces (HMI) and basic networking. We use the Arduino platform to teach these concepts. After doing this course, you should be able to put together IoT projects by combining micro controllers and sensors and connect them to cloud with mobile applications.

03

Powering IoT
– Using The Raspberry Pi

The course focuses on higher-level operating systems, advanced networking, user interfaces, multi-media and uses more compute-intensive IoT applications as examples. We use the Raspberry Pi running Linux as the platform of choice, while also exposing the student to other comparable platforms. It is about gateway devices, where one can achieve scaling in amount of processing.

04

IoT and the Cloud

In this course, we explore the rapidly evolving field of cloud computing and its relation to IoT. We will examine cloud offerings from all the leading providers, including Amazon, Google and Microsoft, and learn to design and deploy solutions to them. This course will also have several case studies, where we examine real-world problem areas such as wearables, home automation, and smart cities.

05

Introduction to IoT Analytics

This course provides an overview and insights into data generation, analysis, and usage from IoT systems, and uses multiple case studies to explain how Analytics is used in IoT scenarios to accomplish desired outcomes.

06

Data Science for IoT

This course provides a comprehensive understanding of the IoT data analytics life cycle, with specific examples and case studies. It illustrates milestones and outcomes at each stage of the cycle, starting with data acquisition, through cleaning, exploratory analysis, preparation, and final analysis for achieving desired outcomes.

07

Advanced IoT Analytics

This course explains how to implement advanced analytics and machine learning algorithms to IoT data to build complex IoT solutions. After doing this course, a student will be able to choose and apply the appropriate ML algorithms including classification and segmentation on IoT datasets and streaming data.

7 courses. The most complete IoT certification available.

Certification

Become a certified Full Stack Expert with end to end expertise in IoT. After completing this specialisation you’ll have a good understanding of the different pieces of an integrated IoT system, their dynamics and a strong grasp on the entire IoT stack, its architecture, implementation and analysis.

IoT Analyst Certification Courses

The 'IoT Analyst Certification' consists of 3 courses.

01

Introduction to IoT Analytics

This course provides an overview and insights into data generation, analysis, and usage from IoT systems, and uses multiple case studies to explain how Analytics is used in IoT scenarios to accomplish desired outcomes.

02

Data Science for IoT

This course provides a comprehensive understanding of the IoT data analytics life cycle, with specific examples and case studies. It illustrates milestones and outcomes at each stage of the cycle, starting with data acquisition, through cleaning, exploratory analysis, preparation, and final analysis for achieving desired outcomes.

03

Advanced IoT Analytics

This course explains how to implement advanced analytics and machine learning algorithms to IoT data to build complex IoT solutions. After doing this course, a student will be able to choose and apply the appropriate ML algorithms including classification and segmentation on IoT datasets and streaming data.

4 Reasons To Do the IoT Analyst Certification

01

90% of all IoT data will be hosted on service provider platforms within the next five years with cloud computing. - IDC

02

IoT will account for 4.4 trillion GB of the data in the digital universe by 2020. - EMC

03

8% of businesses are fully capturing and analysing IoT data in a timely fashion. - Parstream

04

Convergence of machines, data and analytics will become a $200 billion global industry over the next three years. - GE

Master the connection between analytics & IoT with a 3 course specialization.

Certification

Become a certified IoT Analyst and make the difference where it matters the most. Post completion of this specialization, you’ll learn to focus on the data generated through IoT devices and variety of analytics techniques deployed on this data to derive meaningful insights.

IoT Professional Certificate Courses

The 'IoT Professional Certification' consists of 4 courses.

01

IoT for Beginners

Step into the fantastic world of the future with this introductory course on the Internet of Things. Understand the key terminologies, explore its history, and watch stories of how IoT inventors are creating a brave new world with their path-breaking devices.

02

IoT from the Ground Up
– Using Arduino

This course deals with basic electronics, microcontroller architectures, sensors, human-machine interfaces (HMI) and basic networking. We use the Arduino platform to teach these concepts. After doing this course, you should be able to put together IoT projects by combining micro controllers and sensors and connect them to cloud with mobile applications.

03

Powering IoT
– Using The Raspberry Pi

The course focuses on higher-level operating systems, advanced networking, user interfaces, multi-media and uses more compute-intensive IoT applications as examples. We use the Raspberry Pi running Linux as the platform of choice, while also exposing the student to other comparable platforms. It is about gateway devices, where one can achieve scaling in amount of processing.

04

IoT and the Cloud

In this course, we explore the rapidly evolving field of cloud computing and its relation to IoT. We will examine cloud offerings from all the leading providers, including Amazon, Google and Microsoft, and learn to design and deploy solutions to them. This course will also have several case studies, where we examine real-world problem areas such as wearables, home automation, and smart cities.

4 reasons to do the IoT Professional Certification

01

Due to Internet of Things, jobs in the IT industry are projected to grow by 50 percent before 2020. - Cisco

02

One in five developers is targeting IoT for upcoming projects. - Evans Data

03

IoT projects will take twice as long to complete and firms are finding it difficult to source long-term staff for the jobs. - Gartner

04

India will have 3 million mobile app developers by 2017 and most them will focus on IoT apps and innovations. - Convergence Catalyst

4 courses. 1 certification. Rs 14,000 in savings.

Certification

Become a certified IoT professional with thorough understanding of IoT concepts. Post completion of this specialization, you’ll gain a solid understanding of how to develop and implement your own IoT solutions and applications.