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Updated in [May 19th, 2023]

This course provides an overview of Google Cloud's IoT Core service and its integration with other services such as GCS, Dataprep, Stackdriver, and Firestore. Participants will learn how to use simulator code to mimic IoT devices and how to implement the same streaming pipeline with real-world IoT devices. By the end of the course, participants will have a better understanding of how to use Google Cloud's IoT Core service to manage and monitor their IoT devices.

[Applications]
The application of this course can be seen in various industries such as manufacturing, healthcare, retail, and transportation. With the knowledge gained from this course, users can create a secure and reliable IoT infrastructure in the Google Cloud. They can also use Google Cloud's IoT Core service to stream data from IoT devices to other services like GCS, Dataprep, Stackdriver, and Firestore. Furthermore, users can use the simulator code provided in the labs to create a streaming pipeline with real world IoT devices.

[Career Paths]
1. IoT Solutions Architect: IoT Solutions Architects are responsible for designing, developing, and deploying IoT solutions. They must have a deep understanding of the underlying technologies and be able to integrate them into a cohesive system. They must also be able to identify and address potential security risks. As the demand for IoT solutions continues to grow, the need for experienced IoT Solutions Architects will also increase.

2. IoT Data Scientist: IoT Data Scientists are responsible for analyzing and interpreting data from IoT devices. They must have a strong understanding of data science principles and be able to use machine learning and artificial intelligence to identify patterns and trends in the data. As the amount of data generated by IoT devices continues to grow, the need for experienced IoT Data Scientists will also increase.

3. IoT Developer: IoT Developers are responsible for developing applications and services that interact with IoT devices. They must have a strong understanding of programming languages and be able to develop applications that are secure and reliable. As the demand for IoT applications continues to grow, the need for experienced IoT Developers will also increase.

4. IoT Security Engineer: IoT Security Engineers are responsible for ensuring the security of IoT devices and networks. They must have a deep understanding of security protocols and be able to identify and address potential security risks. As the number of IoT devices continues to grow, the need for experienced IoT Security Engineers will also increase.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, such as algorithms, data structures, programming languages, operating systems, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and cloud computing. With the increasing demand for IoT solutions, this degree path is becoming increasingly popular as it provides the necessary skills to develop and manage IoT systems.

2. Bachelor of Science in Electrical Engineering: This degree path focuses on the design and development of electrical systems, such as circuits, power systems, and communication systems. It also covers topics such as signal processing, control systems, and embedded systems. With the increasing demand for IoT solutions, this degree path is becoming increasingly popular as it provides the necessary skills to develop and manage IoT systems.

3. Master of Science in Internet of Things: This degree path focuses on the design and development of IoT systems, such as sensors, networks, and applications. It also covers topics such as data analytics, machine learning, and cloud computing. With the increasing demand for IoT solutions, this degree path is becoming increasingly popular as it provides the necessary skills to develop and manage IoT systems.

4. Master of Science in Cloud Computing: This degree path focuses on the fundamentals of cloud computing, such as virtualization, distributed systems, and cloud security. It also covers topics such as big data, machine learning, and IoT. With the increasing demand for cloud-based solutions, this degree path is becoming increasingly popular as it provides the necessary skills to develop and manage cloud-based systems.

Course Syllabus

Internet of Things: Qwik Start

Streaming IoT Data to Cloud Storage

Streaming IoT Core Data to Dataprep

Building an IoT Analytics Pipeline on Google Cloud

A Tour of Cloud IoT Core

APIs Explorer: PubSub and IoT

Using Cloud Logging with IoT Core Devices

Using Firestore with Cloud IoT Core for Device Configuration