- Welcome to IIoT on GCP
- IoT on GCP Overview
- Getting Started with Google Cloud and Qwiklabs
- How to Send Feedback
Beginner
Online
8 Weeks
Free
Quick facts
particular | details | |
---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
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Course overview
The course Industrial Internet of Things (IoT) on Google Cloud Platform (GCP) is designed by the Google Cloud team. Here, you are going to learn every fundamental detail about sensors, devices, and analysis. However, even though you will get to learn about sensors and devices the main focus will be on the cloud side. This course is designed in a different way from many other Coursera courses as here your major learning is going to be through quizzes, projects, and labs.
You will learn about the nuances of scaling, device communication, and processing streaming data. And as mentioned before you will learn the cloud side of IIOT through simulated lab devices.
Some skills that you will learn here that will help you grow in your career includes the cloud side of IoT, Cloud IoT Core, Pub/Sub, and Dataflow, implement a pipeline from their device to BigQuery and Dataprep, store data on Cloud Google storage and use BigQuery and Dataprep to gain insights into IoT data.
Throughout, you will get to practice these skills in almost 7 labs. After that, you will get a chance to test yourself in a Capstone lab using Cloud IoT Core Inspector.
The highlights
- Shareable certificate
- 100% online course
- Flexible deadlines
- Beginner Level course
- 15 hours course
- Subtitles in English, Korean, German, Chinese (Simplified)
- Financial aid
Program offerings
- Portfolio project
- Seamless technical support
- Community forums
- Practice paper
- Assignments
Course and certificate fees
Type of course
Although enrolling in the course is free, you will have to pay a certain sum of money to be able to get certified and add the certificate to your CV, Resume, or LinkedIn profile. You may refer to the following fee structure -
Fee Structure
Type of Programme | Amount |
Audit Only & Trial Period for 7 Days | Free |
Purchase the Course | INR 2,116 |
certificate availability
certificate providing authority
certificate fees
Eligibility criteria
This is a beginner level course with no pre-defined eligibility criteria. Although if you are someone who has worked with IoT, ML, Python, or AI, it is going to be beneficial for you to have a prior understanding of the aforementioned concepts before starting with the course.
What you will learn
After completing the course, students will be able to understand the following:
- Get a clear idea about the cloud side of IoT.
- Use Cloud IoT Core, Pub/Sub, and Dataflow.
- Implementation of a pipeline from their device to BigQuery and Dataprep.
- BigQuery and Dataprep to gain insights into IoT data
Who it is for
The course is suitable for the following people: beginners, recent graduates or people, Hardware/IT engineers and managers and Software developers who are interested in surging ahead in their career or get a well-paying job.
Admission details
Coursera is enrolling learners for free for this course starting November 2. Learners can access the course material for free using audit mode however, you won’t get a certificate through that after completing the course. Coursera is also providing financial aid where you need to fill up a form and wait for it to get approved. After you have completed the course you will get a certificate of completion that you can in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.
If the course doesn’t provide an audit mode you can use the free-trial feature or even apply for financial aid.
Filling the form
Once you’ve decided about the Course on the Coursera platform, the next step is to enrol yourself into the course by following the few steps that have been mentioned below -
Step 1: Visit the Coursera homepage.
Step 2: On the homepage, login using your email ID and social login
Step 3: If you are not a member, click ‘Sign Up’
Step 4: Enter first & last name, password details and email ID
Step 5: Now press the ‘ Join for Free’ option
Step 6: Now check the course page, clicking on ‘Enrol’ will take you to the payment terms
Step 7: Read the payment terms, make the payment by choosing between MasterCard, VISA, Discover or PayPal
Step 8: Now purchase the course and get access to the course content for the course purchased
The syllabus
Welcome to Industrial IoT on GCP
Foundations of GCP Architecture
- Module Introduction
- What is IoT?
- Lesson Introduction
- Cloud IoT Platform Stages
- Ingest Data
- Process Data
- Analyze data
- Device Management is Scalable with Cloud IoT
- Google Cloud IoT is Secure
- Google Cloud IoT is a Complete Solution
- Functional Advances Drive IoT Adoption
- IoT Devices are Connected to the Cloud
- What can be done with IIoT?
- Challenges in IIoT
- Lesson Review
- Lesson Introduction
- IoT Architecture
- Google Cloud IoT Architecture
- Internet of Things Use Cases
- IoT Networks
- Ingest, Process, Analyze
- Google Cloud IoT Characteristics
Sensors, Devices, and Communication
- Module Introduction
- Sensors and Devices Introduction
- Types of Sensors
- Choosing a Sensor
- Devices
- Device Commands
- Defining Devices
- Google IoT Developer Prototyping Kits
- Introduction to MQTT and HTTP
- MQTT Protocol
- HTTP Protocol
- MQTT and HTTP General Features Comparison
- Choosing a Sensor
- Sensors and Devices
- MQTT and HTTP
Google Cloud IoT Platform
- Module Introduction
- Cloud Pub/Sub
- Simplify Event Driven Processing with Cloud Pub/Sub
- Introduction to IoT Cloud Core
- Google Cloud Storage: Massive Scalability Plus More
- Introduction to Cloud Pub/Sub
- Cloud Pub/Sub and IIoT
- Preparing for the Pub/Sub Lab
- Prepare for the Google Cloud Storage Lab
- Introduction to Data Flow
- Google Cloud Pipelines
- Streaming Analytics with Cloud Functions
- Apache Beam SDK-based Pipelines
- Cloud Dataflow Templates
- Google Provided Templates
- Introduction to Google Cloud IoT Core
- Cloud IoT Core Fully Integrates Your Devices
- Registration Connects Devices to Google IoT Cloud
- Protocol Bridges
- Preparing for Cloud IoT Core Lab
- Introduction to Google Cloud Storage
- Define Google Cloud Storage Terms
- Storage Classes
- Comparing Storage Classes
- Traditional vs. Templated Job Execution
- Dataflow Lab Preparation
- Pub/Sub
- Cloud IoT Core
- Google Cloud Storage
- Dataflow
Creating IoT Data Pipeline
- Module Introduction
- Introduction to Pipelines
- Prepare for the Lab
- Streaming Pipelines
Analyzing Data with BigQuery
- Module Introduction
- Introduction to BigQuery
- Explore 9 Fundamental Google BigQuery Features
- Query Basics
- Introduction to the BigQuery Videos
- BigQuery Queries Overview
- Prepare for the big query Lab
- BigQuery
Analyzing IoT Dataprep and Data Studio
- Module Introduction
- Introduction to Dataprep
- An integrated data pipeline
- Dataprep Lab Demo
- Introduction to Data Studio
- Connect to your Data
- Share Reports
- Introduction to the Dataprep Demo
- Dataprep tasks in the data pipeline
- Dataprep
- Flow Structure and Objects
- Introduction to Google Data Studio
- Connect to your Data
- Visualize your data
- Share Reports and Data
- Data Studio Lab Introduction
- Dataprep Lab
- Data Studio Quiz
Deprecated Lesson
- Deprecated Reading
Scholarship Details
There is financial aid available for students who cannot afford the fees. To apply you can click on the link near enrol, fill up the form, and wait for it to get approved. Fill in educational, general, and background details. If you are shortlisted for the course, Coursera will notify you via email.
Evaluation process
You can get your certificate from the achievements section once you have completed the course. There is not enough information about any particular exam.
How it helps
Through this course, you will learn skills like Bigquery, Internet Of Things (IoT), Cloud Computing and Communications Protocol which will help you to explore new career options, get a pay increase and promotions.
FAQs
If learners can’t afford the fee, they can click on the link near the enrol option, fill up the form, and wait for it to get approved. However, you can always access the course material through audit mode but you won’t be getting a certification for that after completing the course.
There are different modes of enrollment available for this course through which you can access course material. Through audit mode you can access almost all the course material; however, you need to buy the certificate experience to gain a certificate and for projects.
You won’t get university credits after completing this course; however, few universities might accept the certificate to give you credits. You will get a certificate after completion of the course, which can further be uploaded in the certification section of your LinkedIn profile and also attach to your CV/Resume.
Yes, this course is available under the ‘Coursera Plus’ package.
On average, students will need 15 hours to complete this course on Coursera.
To make payments on the Coursera platform whenever you purchase a new course, the following payment methods can be used PayPal, American Express, VISA, MasterCard, and Discover Card.
Some popular career options after completing this course include Data Analyst, IoT engineer, Cloud Architect, Application Developer, and Cloud Engineer.
This course is an initiative by Google Inc. through its Google Cloud set of certifications that have been made available on Coursera. It helps the learners to gain modern, job-ready skills.
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