Course Summary
Learn how to leverage Google Cloud Platform and IoT technologies to build intelligent industrial applications in this course on Coursera.Key Learning Points
- Understand the fundamentals of IoT and cloud computing
- Learn how to use Google Cloud Platform for IoT
- Build industrial IoT applications using Google Cloud Platform
Job Positions & Salaries of people who have taken this course might have
- IoT Developer
- USA: $70,000 - $130,000
- India: ₹6,00,000 - ₹12,00,000
- Spain: €30,000 - €60,000
- Cloud Architect
- USA: $100,000 - $200,000
- India: ₹9,00,000 - ₹20,00,000
- Spain: €40,000 - €80,000
- Industrial IoT Specialist
- USA: $80,000 - $150,000
- India: ₹7,00,000 - ₹15,00,000
- Spain: €35,000 - €70,000
Related Topics for further study
Learning Outcomes
- Understand how to use Google Cloud Platform for IoT projects
- Learn how to build industrial IoT applications
- Be able to analyze data from IoT devices
Prerequisites or good to have knowledge before taking this course
- Basic programming knowledge
- Familiarity with cloud computing
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- IoT Foundations: Fundamentals
- Industrial IoT on Google Cloud Platform
Related Education Paths
- Google Cloud Certified - Professional Cloud Architect
- Google Cloud Certified - Professional Data Engineer
Notable People in This Field
- David Linthicum
- Stacey Higginbotham
Related Books
Description
Learn Industrial Internet of Things on Google Cloud
Knowledge
- Understand Google IoT Architecture.
- Use Cloud IoT Core to create devices and authorization keys.
- Implement a Dataflow from their device to BigQuery and Dataprep.
- Use BigQuery and Dataprep to analyze data
Outline
- Welcome to Industrial IoT on Google Cloud
- Industrial IoT on Google Cloud
- Getting Started with Google Cloud and Qwiklabs
- How to Send Feedback
- What is IoT?
- Module Introduction
- What is IoT?
- What is IoT? - Review
- What is IoT? - Lesson introduction
- 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
- 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
- Internet of Things use cases
- IoT networks
- Ingest, Process, Analyze
- Google Cloud IoT Characteristics
- Sensors, Devices, and Communication
- Module Introduction
- Sensors, Devices, and Cloud Communication - Review
- 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 rotocol
- Comparison of MQTT and HTTP general features
- Choosing a sensor
- Sensors and devices
- MQTT and HTTP
- Google Cloud's IoT Platform
- Module introduction
- Pub/Sub
- Simplify event-driven processing with Pub/Sub
- Introduction to IoT Cloud Core
- Google Cloud Storage: Massive scalability plus more
- Google Cloud’s IoT Platform - Review
- Introduction to Pub/Sub
- Pub/Sub and IIoT
- Preparing for the Pub/Sub lab
- Introduction to Google Cloud IoT Core
- Cloud IoT Core fully integrates your devices
- Registration connects devices to Google IoT Cloud
- Protocol bridges
- Prepare for the Using Cloud IoT Core lab
- Introduction to Cloud Storage
- Define Cloud Storage terms
- Storage classes
- Comparing storage classes
- Prepare for the Creating a Cloud Storage Bucket lab
- Introduction to Dataflow
- Google Cloud pipelines
- Streaming analytics with Cloud Functions
- Apache Beam SDK-based pipelines
- Dataflow templates
- Google provided templates
- Traditional vs. templated job execution
- Prepare for the Creating a Dataflow Pipeline lab
- Pub/Sub
- Cloud IoT Core
- Google Cloud Storage
- Dataflow
- Creating IoT Data Streaming Pipelines
- Module Introduction
- Creating IoT Data Pipelines - Review
- Introduction to pipelines
- Prepare for the Streaming IoT Data to Google Cloud lab
- Streaming pipelines
- Analyzing Data with BigQuery
- Module Introduction
- Introduction to BigQuery
- Explore ​9 ​Fundamental ​Google ​BigQuery ​Features
- Query basics
- Analyzing Data with BigQuery - Review
- Introduction to the BigQuery Videos
- BigQuery queries overview
- Prepare for the Streaming IoT Data to BigQuery with Simulated Data lab
- BigQuery
- Analyzing and Visualizing Data with Dataprep and Data Studio
- Module Introduction
- Introduction to Dataprep
- An integrated data pipeline
- Dataprep tutorial
- Introduction to Data Studio
- Connect to your Data
- Share reports
- Analyzing and Visualizing Data with Dataprep and Data Studio - Review
- 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
- Prepare for the Analyzing IoT Data in Data Studio lab
- Dataprep lab
- Data Studio
- Course Review
- Industrial IoT on Google Cloud - Course Review
Summary of User Reviews
This course on Industrial Internet of Things (IIoT) using Google Cloud Platform has received high praise from many users, with an overall positive rating. The course provides a comprehensive introduction to IIoT using Google Cloud Platform, and users have particularly appreciated the hands-on approach to learning.Key Aspect Users Liked About This Course
Hands-on approach to learningPros from User Reviews
- Comprehensive introduction to IIoT using Google Cloud Platform
- Engaging and knowledgeable instructors
- Hands-on learning through practical exercises
- Useful real-world examples and case studies
- Well-structured course materials
Cons from User Reviews
- Some users found the pace of the course to be too fast
- Limited coverage of certain topics
- Lack of support for non-technical learners
- Occasional technical issues with the course platform
- Some users felt that the course could benefit from additional resources
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