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Introduction to Google Cloud IoT

Venkatesh Varadachari and Gollapudi Venkata Saikumar

4.7

Based on 447 ratings

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Venkatesh Varadachari and Gollapudi Venkata Saikumar

If you are looking for that one course that will help you gain the confidence to take your IoT knowledge to next level, by integrating with Google Cloud Platform, then you have come to the right place.

With numerous custom made illustrations and animations, we have set the standard in terms of production quality. All so that you can have a terrific learning experience.

This course is meant for anyone who wants to build exciting projects on Google cloud platform and take their IoT projects to the next level

With numerous custom made illustrations and animations, we have set the standard in terms of production quality. All so that you can have a terrific learning experience.

This course is meant for anyone who wants to build exciting projects on Google cloud platform and take their IoT projects to the next level

If you are a hobbyist looking to get started with Google Cloud Platform or a student who wants to know how to build IoT applications on the Google IoT core and on the Google Cloud Platform, you will find this course very useful. This is because we have tailored this course by giving equal importance to both the projects as well as the concepts.

So come join me in this introductory course on Google Cloud IoT. I am looking forward to being your instructor and hearing about all the wonderful projects you were able to make using the Google Cloud IoT Core.

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What's inside

Learning objectives

Google cloud platform
Internet of things

Sparkfun esp32 thing
Raspberry pi

Google cloud platform
Internet of things
Sparkfun esp32 thing
Raspberry pi

Syllabus

Introduction to Google Cloud IoT

Introduction to the course

Google Cloud IoT Core Architecture

Getting started with IoT Core

Download the PDF from the resources of this lecture

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Uses Sparkfun ESP32 Thing and Raspberry Pi, which are common platforms for prototyping and experimenting with IoT projects

Covers financial budgeting and alerts, which is useful for managing cloud resources and avoiding unexpected costs

Explores Twilio and SendGrid, which are third-party services that may require separate accounts and potentially incur costs

Requires OpenSSL installation, which may present a challenge for beginners who are not familiar with command-line tools

Examines Google Cloud Functions, Cloud Dataflow, and BigQuery, which are powerful tools for data processing and analysis

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Reviews summary

Introduction to google cloud iot

According to learners, this course provides a solid introduction to Google Cloud IoT, particularly praised for its practical, hands-on approach using Raspberry Pi and ESP32 for labs and projects. Many found the explanations clear and easy to follow, making it great for beginners and hobbyists. However, some students noted that certain sections, like Cloud Dataflow, felt rushed, and a few encountered issues with setup instructions or dependencies, although recent reviews suggest this might be improving. Overall, it successfully delivers a foundation in connecting devices to GCP, though some wished for greater technical depth on specific topics or security.

Covers core concepts, some parts rushed.

"Good overview of the Google Cloud IoT Core services."

"the part on Cloud Dataflow felt a bit rushed and could use more detail."

"A comprehensive introduction. Covers device setup, data ingestion, and visualization."

"Some topics could be expanded upon for intermediate learners, but it serves its purpose as an introduction."

Concepts are broken down effectively.

"Excellent introductory course to Google Cloud IoT. The explanations were clear..."

"The instructor did a great job breaking down complex topics into manageable parts."

"The pace is good for beginners."

"Instructor is knowledgeable and explains well."

Practical exercises enhance understanding.

"The hands-on labs using Raspberry Pi and ESP32 were incredibly valuable."

"Loved the practical approach. Building projects with Raspberry Pi and ESP32 made the concepts stick."

"As a hobbyist, this course was perfect. The step-by-step guides for setting up hardware and connecting to GCP were easy to follow."

"Fantastic hands-on experience! The practical labs are the highlight. Connecting physical devices to GCP made everything click."

Some students faced issues with labs.

"some instructions felt a little unclear at times."

"Some minor issues with library versions during setup, but troubleshooting wasn't too difficult."

"Found this course difficult to follow... Labs had issues with dependencies."

"Outdated instructions led to frustration with labs. Dependencies were a nightmare."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Google Cloud IoT with these activities:

Review Basic Networking Concepts

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Reviewing basic networking concepts will help you understand how IoT devices communicate with the Google Cloud Platform.

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Review the OSI model and TCP/IP protocol suite.
Study common network protocols like HTTP, MQTT, and CoAP.
Understand IP addressing and subnetting.

Brush up on Python Programming

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Practicing Python will be useful for interacting with the Google Cloud IoT Core and processing data from IoT devices.

Browse courses on Python Scripting

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Practice writing Python scripts to interact with APIs.
Review data structures and control flow in Python.
Familiarize yourself with relevant Python libraries like `google-cloud-iot`.

Build a Simple Temperature Monitoring System

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Building a temperature monitoring system will give you hands-on experience with connecting a sensor to Google Cloud IoT Core.

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Connect a DHT11 sensor to a Raspberry Pi or ESP32.
Write a Python script to read temperature data and send it to Google Cloud IoT Core.
Visualize the temperature data in Google Cloud Data Studio.

Four other activities

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Show all seven activities

Document Your IoT Project

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Documenting your project will help you solidify your understanding of the concepts and share your knowledge with others.

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Describe the architecture of your IoT system.
Explain how you configured the Google Cloud IoT Core.
Document the code you wrote to interact with the sensor and the cloud.

Follow Google Cloud IoT Tutorials

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Following Google Cloud IoT tutorials will provide step-by-step guidance on setting up and using the platform.

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Find tutorials on connecting different types of devices to Google Cloud IoT Core.
Follow tutorials on using Google Cloud Functions to process IoT data.
Explore tutorials on visualizing IoT data in Google Cloud Data Studio.

Create a Data Visualization Dashboard

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Creating a data visualization dashboard will allow you to monitor and analyze the data collected from your IoT devices.

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Connect your Google Cloud BigQuery data to Google Data Studio.
Design a dashboard to display key metrics from your IoT devices.
Add interactive elements to your dashboard to allow users to explore the data.

Contribute to an Open Source IoT Project

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Contributing to an open-source IoT project will give you valuable experience working with a real-world codebase and collaborating with other developers.

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Find an open-source IoT project on GitHub or GitLab.
Identify a bug or feature that you can contribute to.
Submit a pull request with your changes.

Career center

Learners who complete Introduction to Google Cloud IoT will develop knowledge and skills that may be useful to these careers:

Internet of Things Engineer

An Internet of Things Engineer, or IoT Engineer, designs, develops, and implements IoT solutions, often involving cloud platforms. This course helps build a foundation in Google Cloud Platform, a key technology for many IoT projects. With its comprehensive approach to projects and concepts, this course is particularly helpful for anyone looking to build exciting IoT deployments on the Google Cloud. This course’s focus on the practical implementation of Google Cloud IoT, using platforms such as Sparkfun ESP32 and Raspberry Pi, makes it a valuable starting point for aspiring IoT Engineers.

See salaries and explore the career path for Internet of Things Engineer

Cloud Solutions Architect

A Cloud Solutions Architect designs and implements cloud computing solutions for businesses, often specializing in a particular vendor, such as Google. This course may be useful for a solutions architect who works with IoT devices on Google Cloud. It introduces how IoT core is architected on Google's cloud infrastructure and how to send telemetry. By exploring this course, a Cloud Solutions Architect can learn how to integrate IoT devices into the broader cloud architecture. This course also helps one understand cloud functions and databases, which is key for data processing in cloud solutions.

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Cloud Application Developer

A Cloud Application Developer builds and maintains applications that run on cloud platforms. This course may be useful to an application developer who wants to integrate IoT devices with their cloud-based applications on Google Cloud Platform. It covers how to send data to cloud and trigger devices, this is essential when building applications that interact with IoT devices. This course also helps to understand Google Cloud Functions, which are often integrated with applications on Google Cloud. This course helps an application developer to understand the specific features required for building IoT cloud applications.

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Embedded Systems Engineer

An Embedded Systems Engineer develops software for devices such as microcontrollers and hardware platforms. This course may be useful for an embedded systems engineer who is looking to integrate devices with Google Cloud. This course includes learning how to interface hardware platforms like the ESP32 and Raspberry Pi with a cloud infrastructure. The course's focus on sending data to the cloud and triggering devices from the cloud may help an embedded systems engineers understand cloud integration. This course can also help an embedded systems engineer leverage cloud based services for embedded systems.

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Data Engineer

A Data Engineer designs, builds, and maintains data pipelines for data storage, processing, and analysis. This course may be useful for an aspiring Data Engineer who wishes to work with IoT data. The course covers how to send telemetry to the cloud and explore cloud storage options. It also provides an overview of dataflow, big query, and data studio. These tools are often used by Data Engineers when designing data pipelines and visualizing data. This course can help a Data Engineer understand the dataflow from a device to the cloud.

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Automation Engineer

An Automation Engineer designs and implements automated systems, often involving hardware and software integration. This course may be useful to an automation engineer who wishes to integrate cloud and IoT into their systems. The course covers the use of cloud functions, notifications, and scheduling of jobs. These tools are often used in automation solutions. The course also covers the use of devices like ESP32 and Raspberry Pi. An Automation Engineer may find this course helpful for learning to incorporate IoT devices into automated systems.

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Software Developer

A Software Developer writes code for applications and systems. This course may be useful for software developers looking to expand their skill set to include cloud and IoT. This course delves into sending data to the cloud, triggering devices from the cloud, setting up cloud functions, and using notification services. These tasks are important for developing cloud based software that interacts with IoT devices. This course helps a software developer build cloud based solutions that work with IoT devices.

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Technology Consultant

A Technology Consultant advises clients on how to use technology to reach business goals. This course may help a consultant when working with businesses that are looking for IoT solutions deployed on the cloud. This course covers the basics of Google Cloud Platform for IoT, as well as how to send data and manage devices on that platform. A Technology Consultant may find this helpful for understanding the practicalities of using cloud with IoT. This course provides knowledge of IoT implementations that would be useful for a technology consultant.

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Data Analyst

A Data Analyst interprets data to identify trends and insights. This course may be useful for a data analyst who wants to work with IoT data. The course covers data visualization and explores tools like Bigquery and Data Studio. These are frequently used by Data Analysts to analyze and visualize data. The course focuses on getting data from devices to the cloud, which is a first step for many data based projects. A data analyst may find this course helpful for understanding the data flow from IoT devices to their analysis platform.

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Research Scientist

A Research Scientist conducts experiments and studies to gain new knowledge in a specific field. This course may be useful for a researcher interested in IoT related research. The course covers the basics of using Google Cloud Platform for IoT projects, including how to send data to the cloud and how to interface with devices. Depending on their area of research, this course may help a research scientist looking to utilize cloud in their research process. The cloud-based tools in this course could be useful for exploring research questions.

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Solutions Engineer

A Solutions Engineer works closely with clients to solve their technical problems using the company’s products or services. This course may be useful for a solutions engineer who needs to understand how to integrate IoT devices with Google Cloud Platform. This course covers the fundamentals of Google Cloud IoT Core, device management and data handling. This course provides the hands-on experience to effectively communicate with clients about their cloud based solutions using IoT devices. This course helps a solutions engineer to have a better understanding of IoT integration.

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Technical Project Manager

A Technical Project Manager oversees technical projects, ensuring they are completed on time and within budget. This course may be useful for a project manager who needs to oversee projects involving IoT and cloud. The course provides an overview of the Google Cloud Platform, especially its IoT core, and practical examples of its application. The course includes topics like financial budgeting and alerts, which can be helpful in a project manager's role. This course helps a technical project manager who needs to manage IoT projects on the Google Cloud.

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Systems Administrator

A Systems Administrator manages and maintains computer systems and networks. This course may be useful for a systems administrator who wants to manage devices connected to Google Cloud. This course provides an introduction to Google Cloud IoT core architecture, registries, and device registration. This course can help a systems administrator learn how to manage IoT devices connected to the Google Cloud. Specifically, this course helps a systems administrator gain a foundational understanding of IoT in cloud settings.

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Network Engineer

A Network Engineer designs, implements, and manages computer networks. This course may be useful for a network engineer looking to understand how IoT devices connect to cloud platforms. This course introduces IoT core architecture and how devices send data to the cloud over a network. This course helps a network engineer understand how IoT devices communicate with the cloud over a network. This course can improve a network engineer's ability to integrate IoT devices with their current network.

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Technical Trainer

A Technical Trainer develops and delivers training programs on technical topics. This course may be useful for a technical trainer who is interested in teaching others about IoT and cloud computing. The course provides an introduction to Google Cloud IoT, and it also includes hands-on projects. This course's approach to projects and concepts would be helpful for a technical trainer preparing to teach others by leveraging its instructional material. Such an approach could increase a technical trainer's effectiveness.

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Google Cloud Platform All-In-One Guide

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This guide is ideal for anyone looking to become familiar with the comprehensive list of services in GCP, including compute, storage, database, networking, and big data. It covers essential concepts and provides an overview of best practices for deploying workloads. It good starting point for beginners and cloud professionals migrating to GCP.

Introduction to Google Cloud IoT

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Introduction to google cloud iot

Activities

Career center

Reading list

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