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URL: https://www.coursera.org/learn/internet-of-things-cloud-services-version2

⇱ Internet of Things V2: Setting up and Using Cloud Services | Coursera


Internet of Things V2: Setting up and Using Cloud Services

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Internet of Things V2: Setting up and Using Cloud Services

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Gain insight into a topic and learn the fundamentals.
4.6

43 reviews

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.6

43 reviews

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Build your subject-matter expertise

This course is part of the Internet of Things and AI Cloud Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

Have you wondered what exactly AWS is and why is it important? Do you want to make informed design decisions about which services to use? Do you want to gain expertise to leverage the cloud for your own projects?

In this course, you will learn to interface with the AWS cloud. You will then develop software to send data to and receive data from the cloud. Along the way, you’ll learn how to structure your project with a variety of these difference services. Learning Goals: After completing this course, you will be able to: 1) Understand what the cloud is and how it works. 2) Install and configure the AWS CLI and SDK on a Linux system. 3) Use various AWS services such as EC2, IoT, and many more. 4) Build projects that heavily leverage the cloud. 5) Integrate the cloud into embedded systems.

We learn about the Cloud and how to use it for our projects.

What's included

19 videos6 readings6 assignments

19 videosβ€’Total 173 minutes
  • The Cloudβ€’28 minutes
  • AWS Servicesβ€’17 minutes
  • Systems Architectureβ€’9 minutes
  • Assigned Homeworkβ€’1 minute
  • Amazon AWS - Bring Upβ€’9 minutes
  • Assigned Homeworkβ€’1 minute
  • REST API & JSONβ€’18 minutes
  • MQTT Protocolβ€’5 minutes
  • AWS IoT SDKβ€’9 minutes
  • Assigned Homeworkβ€’1 minute
  • Elastic Cloud Compute (with LAMP)β€’17 minutes
  • REST API & PHP Walkthroughβ€’6 minutes
  • RDS, S3, and Code Commitβ€’14 minutes
  • Assigned Homeworkβ€’1 minute
  • Rekognitionβ€’9 minutes
  • Pollyβ€’5 minutes
  • Lexβ€’13 minutes
  • GPU's for Machine Learningβ€’10 minutes
  • Assigned Homeworkβ€’1 minute
6 readingsβ€’Total 50 minutes
  • Module Slidesβ€’0 minutes
  • Resources and Assigned Homeworkβ€’10 minutes
  • Resources and Assigned Homeworkβ€’10 minutes
  • Resources and Assigned Homeworkβ€’10 minutes
  • Resources and Assigned Homeworkβ€’10 minutes
  • Resources and Assigned Homeworkβ€’10 minutes
6 assignmentsβ€’Total 53 minutes
  • Module 1β€’30 minutes
  • Lesson 1β€’5 minutes
  • Lesson 2β€’3 minutes
  • Lesson 3β€’5 minutes
  • Lesson 4β€’5 minutes
  • Lesson 5β€’5 minutes

Here we will see whole projects that utilize the cloud and how they can interact with the real world.

What's included

6 videos4 readings4 assignments

6 videosβ€’Total 47 minutes
  • Description and Executionβ€’15 minutes
  • Code Walkthroughβ€’8 minutes
  • Description and Executionβ€’7 minutes
  • Code Walkthroughβ€’10 minutes
  • Description and Executionβ€’5 minutes
  • Code Walkthroughβ€’3 minutes
4 readingsβ€’Total 40 minutes
  • Module Slidesβ€’10 minutes
  • Resourcesβ€’10 minutes
  • Resourcesβ€’10 minutes
  • Resourcesβ€’10 minutes
4 assignmentsβ€’Total 60 minutes
  • Module 2β€’30 minutes
  • Lesson 1β€’10 minutes
  • Lesson 2β€’10 minutes
  • Lesson 3β€’10 minutes

We will learn about Green Grass and Edge computing systems along with some advanced cloud projects.

What's included

8 videos4 readings4 assignments1 peer review

8 videosβ€’Total 43 minutes
  • Description and Executionβ€’7 minutes
  • Code Walktroughβ€’8 minutes
  • Assigned Homeworkβ€’1 minute
  • Description and Executionβ€’5 minutes
  • Code Walkthroughβ€’7 minutes
  • Description and Executionβ€’7 minutes
  • Code Walkthroughβ€’6 minutes
  • Assigned Homeworkβ€’1 minute
4 readingsβ€’Total 40 minutes
  • Module Slidesβ€’10 minutes
  • Resources and Assigned Homeworkβ€’10 minutes
  • Resources and Assigned Homeworkβ€’10 minutes
  • Resources and Assigned Homeworkβ€’10 minutes
4 assignmentsβ€’Total 60 minutes
  • Module 3β€’30 minutes
  • Lesson 1β€’10 minutes
  • Lesson 2β€’10 minutes
  • Lesson 3β€’10 minutes
1 peer reviewβ€’Total 120 minutes
  • Advanced Projectβ€’120 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Instructor ratings
4.6 (7 ratings)
University of California San Diego
9 Coursesβ€’179,691 learners

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Learner reviews

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Showing 3 of 43

VP
Β·

Reviewed on Sep 6, 2018

good presentation more understandable through the practical . Almost i am enjoying this course .

DK
Β·

Reviewed on Sep 7, 2019

Very Good course for the people who are in IoT cloud services as well as product development.

J
Β·

Reviewed on Jun 2, 2026

This was an practical learning experience that improved my technical skills and offered hands-on learning experience.

The learning experience was truly worth it.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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